Remote tech jobs in United States

WHO ARE WE? Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState. We turn that attention into real outcomes for our partners, some of the world's leading companies. Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment. We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries. WHY JOIN US? You own outcomes here, not tasks. We measure work by impact, not activity. The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle. Feedback runs direct and lands with respect. Ordinary people make themselves extraordinary at Launch Potato. BASE SALARY: $175,000 to $200,000 per year, paid semi-monthly YOUR ROLE You'll build the models that decide which carrier each auto insurance shopper sees on our click wall. The goal is to send every user to the carrier most likely to convert them, so carriers see our traffic convert and raise their bids. You'll also own the buying models behind our media spend, which are held to ROAS. Carrier conversion data (quotes, policies and acquisition cost) is now coming back to us, and you'll be the one who puts it to work in production. The hard part is the data. Outcomes land weeks or months after the click, many sessions are sparse, the same shoppers come back, and the market drifts. Our bids also decide which users we win, so the model shapes the data it learns from next. This is a hands-on individual contributor role. You frame problems directly with the business, find your own data, build and validate the model, and stay with it through deployment and monitoring. An ML engineer works alongside you on the production side. Auto insurance takes most of your time to start, and scope broadens to other verticals over time. We're remote first, and most of the company works East Coast hours. WHAT SUCCESS LOOKS LIKE By day 60, you run our insurance marketplace media buying on your own. By the end of your first year: Click wall serving that matches each user to the right carrier Carrier conversion data running in production models Automated marketplace bidding taken from proof of concept to scale A clear approach for repeat users and sparse sessions Production models that hold up through drift and changing objectives Output the business trusts and uses without rework MUST HAVE 5+ years of hands-on applied data science with measurable business impact Your models drove paid media decisions: spend, bidding or ad serving. Attribution and reporting alone don't qualify. You built what's on your resume and can explain it down to the loss function and architecture choice, neural network fundamentals included You see how today's bids shape tomorrow's training data, and you've handled late labels, sparse features or drift You own models end to end: you find your own data, build through deployment and monitoring, and bring a point of view Expert Python and SQL NICE TO HAVES Real ad budget spent in live auctions Large-scale ranking or recommendation systems Explaining tradeoffs to non-technical partners in plain terms Designing for auction feedback loops, selection bias and exploration Hands-on neural network work, such as embeddings of text, creative or user behavior AWS for data science: ECS, S3, Athena, SageMaker CI/CD deployment TOTAL COMPENSATION Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to accelerate your career? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on service management, helping teams respond to incidents, run on-call, and automate their operations, you will work with practitioners and leaders across the industry and broaden your impact to the SRE, Engineer, DevOps, and Operations community at large. This is a unique opportunity to use both your engineering and creative storytelling skills to shape the landscape in cloud observability, incident response and service management. What You'll Do: Act as a subject matter expert for service management (incident response, on-call, IDP, Work Management, Workflow Automation, Agent Builder, and operational automation) for Datadog's advocacy and engineering teams Create content in one or more mediums to build Datadog's reputation as a leader in DevOps, Monitoring, Observability and Security e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more Partner with product engineering teams to build compelling demos, and coach internal engineering teams on effective communication and presentation Interface with open source communities to drive key messaging in the market and develop new integrations for Datadog Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code Who You Are: Approximately 5+ years of experience as a Platform Engineer, Site Reliability Engineer, DevOps Engineer or Software Developer with hands-on experience as an on-call/incident responder and running production systems in complex IT environments You have a strong understanding of core service-management practices (incident response, on-call, post incident reviews, and SLOs), using tools like Datadog, PagerDuty, Opsgenie, incident.io, Rootly, Jira Cloud Platform, Cortex, or similar and know how to navigate operational challenges of different sized organizations You’re passionate about helping teams fix organizational challenges, not just technical ones and where they intersect, and have shared your knowledge broadly. Approximately 2+ years of experience in storytelling and creating compelling content e.g. written content, speaking at conferences like SREcon, DevOpsDays or SREday, leading workshops, live streaming or recording videos, contributing to open source and participating in community events. You have publicly available writing samples, blog posts, demos, or recordings of presentations on technical topics You are comfortable with at least one scripting and programming languages (eg Node.js, Python, Go, bash) and are familiar with working with APIs and modern infrastructure such as IaaS cloud services and containers You enjoy self driven exploration and education on new technologies and languages Bonus points: You have hands-on ITSM platform experience (ServiceNow, Jira Service Management) You are already an active member of SRE, DevOps, or incident-response communities Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Generous and competitive benefits package New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous career development opportunities Product training to develop understanding of our product and space Best in breed onboarding Internal mentor and buddy program cross-departmentally Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $160,000 - $200,000 About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

About: Simplilearn Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals. Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally. Requirements ABOUT THE ROLE As an Instructor at Simplilearn, you'll scale your impact as a Data science professional by training the next generation of professionals. You’ll create dynamic learning experiences through deployment of instructional best practices that are student-centered and designed to meet the needs of adult learners. You’ll facilitate lessons from the curriculum and will serve as subject matter expert to students. You will support students through exercises designed to build knowledge and skills and promote grit, problem-solving and a collaborative learning community. Ultimately, you will prepare students for the next chapter in their lives as they seek employment in the field of Data science. This is a part-time, remote role, as classes at Simplilearn are delivered synchronously and are 100% online. A cohort runs for around 5-7 months of instruction, meets on weekday evenings( Monday, Wednesday and Thursday) from 5:30 PM to 8:30 PM PST. The total weekly part-time commitment is expected to be 9-12 hours. RESPONSIBILITIES In this role, you will: Create a positive, professional and inclusive learning environment, by: Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences Managing regular communication with students to align on progress, expectations, celebrate milestones and address concern areas Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by: Providing constructive and timely feedback to students in the cohort Assisting in the management of Performance Action Plans for individual students who need additional support Serve as role model for students and as an ambassador for our brand, by: Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources Encouraging teamwork and seek feedback for continuous improvement Working Hours - The total weekly part-time commitment is expected to be 8-12 hours. Weekday - 06:30 PM CST - 09:30 PM CST Weekend - 09:00 AM CST - 12:00 PM CST Class Timings - For Weekend sessions, 6-8 hrs of delivery - For Weekday sessions, 9-12 hrs of delivery - 1 prep hour/session for the first cohort and 0.5 prep hour per session for the future cohorts - If content revamped, prep can be at 1 hour/session for the first batch and 0.5 hour per session for the future batches ***Feedback communication/General connects Minutes/hours are not billable ***Prep hour can be billed only for the actual scheduled teaching hours(Induction sessions excluded) QUALIFICATIONS: You are a great candidate for this role is you have: 8 + years of experience in the field of Data science/Machine learning/deep learning Working knowledge of Applied Data science with Python Good knowledge of Machine learning Good knowledge of Deep learning with keras and tensorflow A passion for teaching and an ability to explain complex technical concepts A history of choosing a path of integrity Excellent written and verbal skills Benefits Compensation: The expected compensation for this role for candidates from United States is $50 -$55 per hour for candidates who fulfill the qualifications for the role. Candidates whose qualifications are above those listed are encouraged to apply as well. All final offers to candidates will be based on that candidate's unique experience and skillset, and not all candidates will qualify for the top of the salary range. #LI- REMOTE

About Us: Future is building a personalized guidance system for lifelong health. We help people understand what to do next for their body, goals, and stage of life — then support them in turning those decisions into sustained behavior change. By combining AI, human expertise, personal health data, and accountability, Future helps members improve performance today while building the resilience, capacity, and healthspan they need for decades to come. The Role We're hiring a Senior Product Designer to own and shape key product experiences at Future. This role will define how people interact with their health—designing the systems, workflows, and product interfaces that power the Future platform. This is a true ownership role. You'll partner closely with Product and Engineering to define the experience, not just execute it. Future sits at the intersection of AI, human expertise, and behavior change—creating a unique design challenge that blends consumer product craft with intelligent systems. Responsibilities Design core product experiences across onboarding, training, coaching, and long-term engagement Translate product strategy and user needs into user flows, wireframes, and high-fidelity designs Ensure a cohesive, intuitive, and motivating end-to-end user experience Design with a systems mindset across consumer experience, expert workflows, and AI systems Develop scalable design patterns and frameworks that support product growth Partner closely with Product Managers and Engineers from discovery through launch Contribute to product thinking and help define what we build—not just how it looks Ensure high-quality implementation through close collaboration with engineering Use product metrics, user feedback, and experimentation to iterate and improve Use AI tools to accelerate workflows and help shape AI-driven product experiences How You’ll Go About It Balance strategic thinking with fast, iterative execution Take ownership of problem spaces with autonomy and accountability Communicate ideas clearly and drive alignment across teams Maintain a high bar for craft, usability, and product clarity Design systems that make complex experiences feel simple and intuitive Collaborate with low ego and high ownership Qualifications 5–8+ years of product design experience Experience shipping products in mobile, consumer apps, or complex B2B systems Experience designing AI-driven or personalized experiences Strong visual and interaction design skills with a high bar for quality Ability to design end-to-end experiences—from flows to polished UI Comfortable operating in fast-moving, ambiguous environments Strong communication and collaboration skills Portfolio demonstrates strong product thinking and execution Compensation & Benefits Base Salary $155,000–$200,000/year (based on experience and market benchmarks) Equity: Meaningful early-stage equity package Health: Comprehensive medical, dental, vision, life, and disability coverage Retirement: 401(k) plan Remote-First: Work from anywhere in the continental U.S. Home Office: Stipend and monthly support Wellness: Monthly wellness stipend and mental health support Flexible Time Off: Flexible PTO Learning & Development: Annual budget for growth Future is a diverse, passionate, and driven team. We welcome applicants of all backgrounds. Life at Future Equity: Meaningful equity package. Health Coverage: All employees who meet eligibility requirements receive comprehensive medical, dental, vision, and disability insurance, plus tax-advantaged savings accounts. Retirement: 401(k) plan. Wellness: Monthly wellness stipend for fitness, recovery, and overall wellbeing, plus access to mental health resources and therapy support. Flexible Time Off: Flexible PTO so you can rest, recharge, and take care of life outside of work. Learning & Development: Annual budget for courses, conferences, coaching, and tools that help you grow in your craft. Future Membership: Enjoy our platform for free. Equal Employment Opportunities at Future We are committed to building a future where every member of our community, is healthy, cared for, and advancing forward together. Future is an equal opportunity employer. We do not discriminate based on gender, ethnicity, sexual orientation, religion, age, civil or family status, disability or race.

About Us: Future is building a personalized guidance system for lifelong health. We help people understand what to do next for their body, goals, and stage of life — then support them in turning those decisions into sustained behavior change. By combining AI, human expertise, personal health data, and accountability, Future helps members improve performance today while building the resilience, capacity, and healthspan they need for decades to come. About the Role Backend engineers at Future operate at all levels -- building out core services, data pipelines, essential business systems, developer operations, and customer-facing features. We’re responsible for the entirety of product surfaces across user and trainer experiences, and the initiatives we drive span across foundational core infrastructure to rapid feature iteration. Backend engineers work closely with several engineering teams & product managers to deliver the APIs, infrastructure, and scalability needed for every initiative. You will: Design, implement, and test APIs for new products, features, and services Maintain and optimize existing systems, with emphasis on database-related performance Collaborate with other engineers across the stack as well as cross-functional stakeholders Keep up to date with the latest technologies and industry best practices, and encouraging fellow engineers to do so Serve as on-call engineer approximately one week per month, responsible for triaging incoming issues during non-working hour You have: Great Product thinking. You think about the end user experience when you are building to consider whether the features you are building are not only meeting requirements but delighting users. 8+ years of production development experience, specifically working on backend / API Scrappiness and pragmatism. We are a small and fast-moving startup and value someone who can continually weigh tradeoffs to balance engineering excellence with velocity. Strong knowledge of Go, AWS, Docker (ECS), Postgres (RDS) Proven ability to employ software quality measures during development, such as unit/integration testing, monitoring, alerting Experience managing Docker-based microservice architecture Experience working in a fast-moving startup environment. You are adaptable to shifting priorities, and have a proven track record of cutting through asks to build what matters. Nice to have: experience working with ETL, with keen intuition for optimized database performance Compensation, Benefits & Life at Future: Salary range: $200,000 - 230,000 / year + equity. The salary range is set based on multiple considerations including business needs, market demands, talent availability, experience, and unique skills and attributes. The base pay range is subject to change and may be modified in the future. Health coverage: All employees have access to comprehensive medical, vision, dental, and disability insurance + tax savings accounts 401(k) plan Flexible Paid Time Off Future Membership: Enjoy our platform for free! Health, Wellness & Development: Health and fitness monthly stipend contributes to our employees’ overall wellbeing, with access to a mental health platform, reimbursement for medical travel, and an annual learning & development stipend. Remote First: Employment eligible to employees located anywhere in the continental US. No travel required. Join a diverse, passionate & driven team of all backgrounds. #LI-Remote Life at Future Equity: Meaningful equity package. Health Coverage: All employees who meet eligibility requirements receive comprehensive medical, dental, vision, and disability insurance, plus tax-advantaged savings accounts. Retirement: 401(k) plan. Wellness: Monthly wellness stipend for fitness, recovery, and overall wellbeing, plus access to mental health resources and therapy support. Flexible Time Off: Flexible PTO so you can rest, recharge, and take care of life outside of work. Learning & Development: Annual budget for courses, conferences, coaching, and tools that help you grow in your craft. Future Membership: Enjoy our platform for free. Equal Employment Opportunities at Future We are committed to building a future where every member of our community, is healthy, cared for, and advancing forward together. Future is an equal opportunity employer. We do not discriminate based on gender, ethnicity, sexual orientation, religion, age, civil or family status, disability or race.

About FastSpring: FastSpring is how AI, SaaS, gaming, software, and digital product companies sell online in more places around the world. We handle all payment needs from checkout to taxes so you can go farther faster. Founded in 2005, we are a privately owned company headquartered in Santa Barbara with offices in Amsterdam, Austin, Belfast, Dublin, Halifax, and Singapore. Sr. Security Engineer Position Overview: We are seeking a Sr. Security Engineer to join our Agentic Experience group, reporting to the Principal Engineer, Agentic Development. In this role, you will strengthen the security posture of our core payments platform while helping shape security practices for AI-assisted software development. You will work closely with our Agentic Experience group and our CISO, with visibility to executive leadership. This is a hands-on engineering role with broad scope: application security, cloud infrastructure security, and security review of AI/agentic development tooling. Responsibilities & Goals: Identify, prioritize, and remediate vulnerabilities across our Java-based platform and AWS infrastructure Drive infrastructure security improvements, including IAM policy refinement, instance metadata protections, and network egress controls Conduct security reviews of AI-assisted development pipelines, tool integrations, and agent-accessible services Develop and maintain secure development standards, patterns, and guardrails for engineering teams Partner with the fractional CISO on risk assessment, remediation planning, and compliance initiatives (including PCI DSS) Contribute to incident response readiness and security monitoring improvements Communicate security priorities and progress clearly to technical and executive stakeholders Experience & Qualifications: 7+ years of hands-on security engineering experience (application security, cloud security, or infrastructure security) Strong experience with AWS security services and primitives (IAM, VPC networking, secrets management) Experience working in and securing large production codebases; JVM ecosystem experience preferred Familiarity with modern AI-assisted development tools and an interest in their security implications Strong prioritization and communication skills; ability to advocate for security investments with stakeholders Experience in payments, fintech, or other regulated environments is a plus Relevant certifications (e.g., CISSP, OSCP, AWS Security Specialty) are a plus but not required Nice to Have Security certifications (e.g., AWS Security Specialty, CISSP, OSCP, GIAC). Experience securing payments, ecommerce, or subscription/billing platforms. Experience with secure SDLC practices and integrating security tooling (SAST/DAST/SCA) into CI/CD. Familiarity with global, multi-currency, or tax-calculation systems and their data-sensitivity considerations. Consistent with FastSpring's values and applicable law, we provide the following information to promote pay transparency and equity. The base pay range below represents a good faith estimate of the low and high end base pay range for the listed position. This role may be eligible for the corporate bonus plan (or, if a sales role, a commission plan as defined in the sales incentive plan document). In addition, FastSpring provides a variety of benefits to employees. Estimated Base Pay Range $155,000—$187,000 USD About the Company: FastSpring is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION employer. Candidates are considered for employment with FastSpring without regard to their race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, veteran status (specifically status as a disabled veteran, special disabled veteran, Vietnam Era veteran, recently separated veteran, armed forces service medal veteran, or other protected veteran) or other classification protected by applicable federal, state or local law. AI Transparency Statement: FastSpring may utilize artificial intelligence (AI) or automated tools during portions of the recruitment process to assist with operational and administrative activities, including candidate communications, scheduling, application organization, and interview documentation. These tools are designed to support efficiency and consistency within the hiring process. AI systems are not used as the sole determinant of hiring outcomes, and all employment decisions are made by qualified human reviewers. We are committed to responsible and fair hiring practices and continue to evaluate our use of technology accordingly.

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer on Detection & Response, you’ll help protect OpenAI’s most sensitive assets– including our intellectual property, customer data, and the infrastructure that supports them– by building and operating the systems we use to detect suspicious activity and respond effectively when it matters. You’ll work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers, partnering closely with security teams and infrastructure owners to define the telemetry and response requirements we need and building tooling and automation where it delivers the most leverage. In this role, you will: Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response. Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns. Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain. Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one. Define D&R requirements and drive visibility across endpoints, identity, SaaS, cloud, Kubernetes: identify telemetry/control gaps, prioritize them, and advocate for fixes with partner teams (and implement directly when it’s the fastest/most effective path). Evaluate and respond to emergent security concerns in a frontier AI lab environment, such as detection and response strategies for agents operating across infrastructure at scale. You might thrive in this role if you: Have hands-on threat detection and/or incident response experience, including building detections, running investigations, and improving operational playbooks. Understand modern adversary tradecraft (TTPs) and can translate it into practical detection strategies and response actions. Bring a threat modeling mindset. You can evaluate new infrastructure or features, identify D&R implications (what could go wrong, what we’d need to see, how we’d respond), and turn that into concrete requirements for teams shipping the system. Have experience working in Kubernetes/containerized environments, including building detections from cluster telemetry and understanding common failure and attack modes (workloads, nodes, control plane, networking). Are comfortable reasoning about lower-level infrastructure and datacenter risks, such as firmware/BMC surfaces, network segmentation/telemetry, and hard-to-observe control paths. Have experience across major cloud platforms (Azure, AWS, GCP, OCI), and can design cloud-agnostic detection approaches where possible. Like building automation that replaces repetitive D&R work, including thoughtfully using agent-style workflows where they meaningfully reduce toil, while keeping outcomes measurable, auditable, and safe. Are energized by new problem areas at a forward-leaning technology company: e.g., thinking through how to detect and respond to agents operating across systems at scale, and turning those ideas into pragmatic telemetry and response requirements. Communicate clearly and collaborate well across teams. You can translate D&R needs into clear requirements, align stakeholders, and drive follow-through across technical and non-technical audiences. Are comfortable with scripting and enjoy using AI/agent tooling to accelerate investigations and automation—more “directing” than doing everything by hand. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. In this role, you will: Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. Collaborate with engineering and security teams to drive deployment of security enhancements and control changes across broad-scale infrastructure. Tackle high-impact projects such as checkpoint encryption, network isolation, secret management, and machine identity, while continuously raising the security bar for emerging AI workloads. Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges. You will thrive in this role if you have: Deep understanding of security principles, best practices, and common vulnerabilities. A proactive mindset, with the ability to identify and address security gaps or inefficiencies through automation and tooling. A track record of delivering scalable solutions and driving impactful changes across infrastructure in real-world projects. Expertise in the security of cloud platforms (e.g., Amazon AWS, Microsoft Azure), especially securing multi-cloud networks and infrastructure, and designing cloud agnostic systems. Experience securing on-prem deployments and datacenters from construction to multi-tenant use. Familiarity with container security, orchestration security, and authentication/authorization. Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks. Excellent communication skills, with the ability to convey complex security concepts to technical and non-technical stakeholders. Excitement about collaborating with cross-functional teams to build secure, reliable systems that scale globally. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Us At TeamSnap, we believe when the world connects through sports; the world becomes better. TeamSnap is a sports and communication platform dedicated to taking the work out of play in youth sports. We also believe our jobs should excite us, our teammates should support us and our bosses should inspire us. We empower our people to bring big ideas and tiny egos, landing us on Outside Magazine’s list of “Best Places to Work" and Built In’s “100 Best Remote-First Places to Work." TeamSnap is seeking a Staff Software Engineer, Backend, to join our fully distributed engineering team and help us continue scaling systems that serve millions of daily users and tens of thousands of amateur sports organizations. Our stack includes Node, TypeScript, Elixir, Ruby/Rails, SQL, React, cloud-based services, event-driven systems, queues, background jobs, caching layers, and observability tooling. We are looking for a hands-on Staff Backend Engineer who can build and improve APIs and services, reason through production issues across the system, lead technical design in ambiguous areas, mentor engineers, and raise the quality bar across the team. This person should be comfortable working closely with infrastructure, platform, and data teams without being expected to own those functions directly. As an engineering team, we architect and build scalable systems using service-oriented and event-driven architecture. This role will help shape the technical foundation behind TeamSnap’s product experience, with a focus on backend systems, APIs, services, data performance, reliability, observability, and production quality. What You'll Do: Architect, build, and evolve backend APIs, services, event-driven workflows, queues, background jobs, data models, caching strategies, and integrations that support millions of users and thousands of sports organizations. Own complex backend product and technical work from discovery through design, implementation, rollout, production support, and long term maintainability. Lead ambiguous technical initiatives by breaking down problems, identifying risks, making practical tradeoffs, and helping teams move from uncertainty to clear execution. Improve the reliability, scalability, performance, and operability of production systems through thoughtful architecture, strong testing practices, database optimization, caching, monitoring, alerting, and incident follow-up. Debug complex production issues by reasoning across application code, databases, caches, queues, jobs, observability data, and the broader request lifecycle. Partner with Product, Design, Engineering, Infrastructure, Platform, Data, Support, and other teams to turn roadmap needs into durable backend systems and practical delivery plans. Strong interpersonal skills with the ability to give and receive constructive feedback, mentor engineers, influence cross-team alignment and articulate technical trade-offs to non-technical stakeholders What Will Set You Up for Success: Strong Node expertise with experience building and maintaining production backend systems. Staff level backend engineering depth, with a strong track record building and operating high-scale APIs, services, distributed systems, or shared product capabilities in production. Strong command of backend technologies such as Node, TypeScript, Elixir, Ruby/Rails, Java, Go, Python, or similar, including runtime behavior, failure modes, and production tradeoffs. Strong SQL and relational database judgment, including indexing, query optimization, migrations, profiling, data modeling, transactions, read and write patterns, and performance tuning. Practical understanding of service-oriented architecture, event-driven architecture, queues, background jobs, webhooks, Redis or similar caching tools, and systems that need to scale under real production load. Working knowledge of production infrastructure and platform concerns, enough to reason through deployments, containers, CI/CD pipelines, cloud services, networking basics, observability, and operational debugging. Strong production ownership mindset, with the ability to use logs, metrics, traces, dashboards, alerts, incident reviews, and system behavior to improve reliability over time. Demonstrated ability to lead through influence, mentor engineers, facilitate technical decisions, communicate tradeoffs clearly, and connect backend technical choices to customer impact, business needs, and long term maintainability. Bonus: Previous work in or close partnership with infrastructure, platform, SRE, DevOps, or data teams. Familiarity with Elasticsearch, BigQuery, analytics pipelines, search infrastructure, reporting workflows, or high-volume data processing. Responsible use of AI-assisted engineering workflows to improve debugging, testing, documentation, refactoring, prototyping, or developer experience without compromising quality or understanding. Compensation Additional Information Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here. Compensation We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $200,000 inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location. Location TeamSnap is a fully remote company, so you need to be very comfortable working with people who aren’t in the same time zone as you. We are always expanding, but there is a small list of states we do not hire in, including Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota West Virginia and Utah and while we love all parts of the world, we can only hire permanent US residents at this time. Opportunities to Grow At TeamSnap, we work hard to provide a culture of trust, accountability, inclusivity, and boundless opportunities to grow, along with the chance to make a lasting impact and have some fun while doing it. Total Rewards • We're proud to be remote-first. We've been remote since 2009, long before COVID made it cool • Unlimited PTO and paid parental leave for ALL parents (not just primary or secondary) • 100% premium coverage of medical/dental/vision for you and your family • 401K to help you invest for the future • $1,500 annual learning and development stipend • Travel to fun locations for all-company meetings and team events • Generous home office allowance to set you up for success • TeamSnap SWAG to our store upon starting and a $50 credit on every work anniversary thereafter • A monthly stipend reimbursement for health & wellness and so much more! • TeamSnap Total Rewards Working at TeamSnap At TeamSnap, you're not a culture fit, you're a culture add. Check out our Culture Playbook and learn how we succeed at being remote-first, what makes our company so unique, and how we're inspired by our people, our customers, and our values. Inclusion and Diversity Creativity and innovation can't thrive when we're cookie-cutter images of each other. We’re quickly growing more diverse, but there's always room for improvement. We are committed to inclusion and diversity at TeamSnap, and we hold ourselves accountable for building an environment where everyone feels valued. If you need any disability-related adaptation during the recruitment process, just let us know! We are an Equal Employment Opportunity Employer.

About the Team The team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them—against the unique risks introduced by agentic AI. About the Role As a Security Engineer on the Agent Security Team, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale. We are looking for a versatile engineer who thrives in ambiguity and can make meaningful contributions from day one. You should be prepared to ship solutions quickly while maintaining a high standard of quality and security. We’re looking for people who can drive innovative solutions that will set the industry standard for agent security. You will need to bring your expertise in securing complex systems and designing robust isolation strategies for emerging AI technologies, all while being mindful of usability. You will communicate effectively across various teams and functions, ensuring your solutions are scalable and robust while working collaboratively in an innovative environment. In this fast-paced setting, you will have the opportunity to solve complex security challenges, influence OpenAI’s security strategy, and play a pivotal role in advancing the safe and responsible deployment of agentic AI systems. You’ll be responsible for: Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack. Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale. Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability. Influencing strategy & standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI. We’re looking for someone with: Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services. Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods. Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines. Clear, concise communication that bridges engineering, research, and leadership audiences; comfort influencing roadmaps and driving consensus. Bias for action & ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one. Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices. Familiarity with AI/ML security challenges – experience addressing risks associated with advanced AI systems (nice-to-have but valuable). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Us At TeamSnap, we believe when the world connects through sports; the world becomes better. TeamSnap is a sports and communication platform dedicated to taking the work out of play in youth sports. We also believe our jobs should excite us, our teammates should support us and our bosses should inspire us. We empower our people to bring big ideas and tiny egos, landing us on Outside Magazine’s list of “Best Places to Work" and Built In’s “100 Best Remote-First Places to Work." TeamSnap is looking for a Senior Product Designer who will craft experiences that connect parents, coaches and players to make youth sports more fun. You will partner closely with product and engineer partners to drive features from discovery through execution. You’ll play a key role in establishing consistency, ease of use and innovation across TeamSnap consumer experiences. What You'll Do: Design high-impact, consistent, and intuitive user experiences across platforms, considering market trends, customer feedback, and quantitative data. Conduct user research and leverage insights to define product requirements, using sketches, wireframes, and prototypes to guide the ideation process. Use a data-driven approach to tie design decisions to user research while balancing business goals and technical constraints. Partner closely with product managers and engineers to refine requirements, validate designs, and iterate based on feedback. Manage multiple priorities in a fast-paced environment, maintaining a sense of urgency while delivering high-quality designs. Shape, improve, and maintain the TeamSnap design system. Partner with marketing designers to ensure brand consistency across all digital products. What Will Set You Up for Success: 4+ years of experience as a product designer or a similar role, building digital products with increasing responsibility. Degree in design, human-computer interaction (HCI), or equivalent. Experience in web and app development. Bonus points if you have experience with both B2B and B2C software. An online portfolio that demonstrates the ability to turn high-level ideas and vision into a strong and unique UX and creative solutions with the success metrics to prove it. Expertise in using Figma and prototyping tools. Experience working in tight collaboration and influencing product, engineering, and marketing teams, with the ability to synthesize feedback and input from peers and stakeholders. Demonstrated ability to understand and discuss technical concepts and cost/benefit tradeoffs of different design solutions. Compensation Additional Information Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here. Compensation We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $145,000, inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location. Location TeamSnap is a fully remote company, so you need to be very comfortable working with people who aren’t in the same time zone as you. We are always expanding, but there is a small list of states we do not hire in, including Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota West Virginia and Utah and while we love all parts of the world, we can only hire permanent US residents at this time. Opportunities to Grow At TeamSnap, we work hard to provide a culture of trust, accountability, inclusivity, and boundless opportunities to grow, along with the chance to make a lasting impact and have some fun while doing it. Total Rewards • We're proud to be remote-first. We've been remote since 2009, long before COVID made it cool • Unlimited PTO and paid parental leave for ALL parents (not just primary or secondary) • 100% premium coverage of medical/dental/vision for you and your family • 401K to help you invest for the future • $1,500 annual learning and development stipend • Travel to fun locations for all-company meetings and team events • Generous home office allowance to set you up for success • TeamSnap SWAG to our store upon starting and a $50 credit on every work anniversary thereafter • A monthly stipend reimbursement for health & wellness and so much more! • TeamSnap Total Rewards Working at TeamSnap At TeamSnap, you're not a culture fit, you're a culture add. Check out our Culture Playbook and learn how we succeed at being remote-first, what makes our company so unique, and how we're inspired by our people, our customers, and our values. Inclusion and Diversity Creativity and innovation can't thrive when we're cookie-cutter images of each other. We’re quickly growing more diverse, but there's always room for improvement. We are committed to inclusion and diversity at TeamSnap, and we hold ourselves accountable for building an environment where everyone feels valued. If you need any disability-related adaptation during the recruitment process, just let us know! We are an Equal Employment Opportunity Employer.

About the Team At AudioEye, we believe access to digital content is a fundamental right, not a privilege. Our mission is clear: eliminate every barrier to digital accessibility so that everyone, regardless of ability, can experience the web without limitations. We are a team of passionate problem-solvers who are driven by purpose and impact. Every challenge we tackle moves us closer to a future where creating accessible experiences is the standard. If you’re looking for meaningful work where you can drive real change, influence how people with disabilities experience the internet, and be part of a mission that matters, AudioEye is the place for you. About the Role The Staff Engineer role helps to drive the technical direction of AudioEye’s platform and tackles complex challenges in digital accessibility. The position is responsible for designing and building large-scale, reliable systems that detect, remediate, and prevent accessibility issues across millions of websites, using AI and agentic development as a core part of how the work gets done. It blends architecture, hands-on development, and technical leadership to ensure systems are secure, scalable, and performant. This role collaborates closely with the Product and Design teams to deliver systems that create measurable impact for customers and end users. The Staff Engineer mentors junior engineers on the team, helps shape the technical roadmap, and makes decisions that balance short-term delivery with long-term sustainability. It requires strong ownership, autonomy, and a focus on solving meaningful technical problems at scale. How you’ll Contribute: Technically lead one or more engineering teams through needs assessment, system design, implementation, and operations automation Drive the technical roadmap, balancing short-term delivery with long-term sustainability Partner with Product, Design, and engineers to build systems that help customers respond quickly to risk, while keeping reliability, security, and data consistency high Build web-scale systems with strong grounding in service-oriented architecture, data modeling, performance, and end-to-end delivery Understand customer and end-user needs and turn them into measurable value Own problems across stacks, teams, and roles, with a bias for action Use AI coding assistants and agentic workflows daily to design, build, test, and operate software without lowering the quality bar. Delegate to agents, then review, verify, and take accountability for the output Evaluate new AI development tools and adopt those that measurably improve delivery Mentor and coach engineers on requirements, system design, problem-solving, and practical AI-assisted development, including prompting, context management, and knowing when not to trust the output Help define team standards for responsible AI use across code review, testing, security, and data handling Find opportunities to build AI capabilities into our products and internal tooling Build a culture of quality, high standards, and engineering excellence Who you are: 10+ years of engineering experience with design, implementation, and operations of critical systems Demonstrated success working in cross-functional environments, advocate for tight collaboration between engineering, user experience, and product teams, and are comfortable making engineering and system-level decisions and tradeoffs Proficiency in modern JavaScript/TypeScript, including React and Node.js Experienced with relational, NoSQL, and document/object storage Proven record of solving deep problems in distributed systems and real-time data technologies Built and operated secure, compliant, scalable systems behind high-impact user experiences Led large projects across multiple teams and mentored both junior and senior engineers Collaborate tightly with Product and UX, and are comfortable making system-level tradeoffs Hands-on fluency with AI-assisted and agentic development, with concrete examples of how it changed how you build and ship Sound judgment on where AI helps and where it adds risk, and the discipline to validate generated code for correctness, security, and maintainability Have coached other engineers, including senior ones, to adopt AI-assisted workflows Thrive on autonomy and ownership, and adapt quickly as tools and practices change Model good engineering behavior, practices, and processes Our Values: Relentlessly Prioritize the Customer Own Outcomes Be Straightforward Act Now & Iterate Grit Decide with Data Hire and Develop A Players Be Coachable Organize and Plan Expect and Embrace Change Benefits and Perks: Work with a talented but humble team Competitive compensation and equity Weekly paid family meal 401k, medical, dental, and vision insurance Flexible PTO Policy 15.5 company-paid holidays including Juneteenth, MLK Day and a 1-week company shut down To support remote work conditions, AudioEye provides each employee a one-time stipend of $300 We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All AudioEye recruiting email communications will always come from the @greenhouse.io domain or audioeye.com. Any outreach claiming to be from AudioEye via other sources should be ignored. Equal Opportunity Employer: We embrace equal employment opportunity. AudioEye is committed to a policy of equal employment opportunity for all applicants and employees. It is our policy that employees will not be subjected to unlawful discrimination on the basis of race, color, religion, sex, age, national origin or ancestry, physical or mental disability, veteran or military status, marital status, sexual orientation, political ideology and any other basis protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including but not limited to: recruitment, hiring, transfers, promotions, training, discipline, termination, compensation and benefits, performance appraisals, education, and social and recreational programs. We welcome and encourage applications from candidates of all backgrounds, abilities, and seek to ensure that all candidates have the opportunity to showcase their skills and qualifications during the hiring process. Please email accommodations@audioeye.com if you require an accommodation. Notice to Staffing Agencies: It is our policy that any and all contact with third party staffing vendors come through our Talent Acquisition department directly. We have established a preferred network of staffing partners that we engage with if and when we deem necessary. We ask that staffing agencies refrain from contacting our executives, hiring managers, or employees directly. Unsolicited resumes and inquiries will not be considered or responded to. Thank you for your understanding and cooperation.

Join the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role You will work very closely with backend, firmware, and data engineers, with R&D and clinical teams, and directly with the Head of Security. We are looking for an experienced Security Engineer who embraces an AI-first culture to enable them to scale beyond themselves. This is a generalist role with real ownership from day one: various portions of the security program including corporate IT, identity, AI Security, enterprise, and cloud. The ideal candidate has been "the security person" on a small team before — someone who takes whatever comes up, automates the second occurrence of anything, and writes clearly enough that engineers, auditors, and executives can all act on their work. How you’ll contribute Google Workspace administration, device management, and the SaaS access lifecycle — onboarding, offboarding, and access reviews that hold up in an audit. Keep compliance green with code, remediate failing tests at the infrastructure level, extend Vanta with custom tests, and automate evidence collection. Partner with internal teams to find secure solutions to enable them to achieve the company’s goals. Vulnerability management and endpoint management on the company’s corporate fleet. Build processes for secure and ethical AI in corporate environments to minimize shadow AI/IT. Act as the security team's second brain: triage inbound requests, run security reviews of internal tools, and run point on incidents Tackle new security engineering projects. What you need to succeed AI-first mindset. We empower the team with the best tools available to scale beyond themselves 4+ years across security and/or IT engineering, including time on a small team where you owned whatever came up Experience operating a SIEM (Datadog Cloud SIEM, Panther, Splunk, Elastic, or similar) Corporate IT fluency: Google Workspace admin, MDM, identity lifecycle Scripting ability (Python or similar) Clear security writing and documentation: triage notes, runbooks, and audit evidence that engineers, agents, auditors, and executives can act on Bonus points for Vanta (or Drata) ownership through a real audit cycle for SOC 2, ISO 27001, or HIPAA Experience in a regulated or health-adjacent environment Incident response experience beyond tabletop exercises Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*: Full access to health, vision, and dental insurance for you and your dependents Supplemental life insurance Flexible PTO Commuter benefits to ease your daily commute Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. Role Overview As the Engineering Manager - Developer Productivity, you will lead a high-impact team focused on improving developer workflows, reducing friction, and enhancing the overall engineering experience. You’ll collaborate across teams to identify bottlenecks, implement scalable solutions, and foster a culture of continuous improvement. Your work will directly influence the speed, quality, and happiness of our engineering organization. Responsibilities: Infrastructure & Tooling Oversee the development and maintenance of CI/CD pipelines, build systems, and internal tools, including AI-powered internal tooling and agents. Ensure our developer infrastructure is scalable, reliable, and secure. Evaluate and implement new AI-native technologies, considering token economics, compute costs, and AI spend alongside productivity gains. Team Leadership & AI People Development Build, mentor, and lead a team of engineers focused on developer productivity. Foster a culture of collaboration, innovation, and accountability. Set clear goals and provide regular feedback to drive team performance in partnership with your Director. Assess each report's AI fluency level (Assisted, Augmented, Native) and set individual growth targets. Include AI fluency as a coaching topic in 1:1s; pair less AI-fluent engineers with AI-native peers for knowledge transfer. Create space for AI experimentation: dedicated time, safe-to-fail projects, and learning sprints. Recognize and reward AI-driven improvements in performance conversations. Collaboration & Communication Work closely with engineering, product, and design teams to align priorities. Advocate for developer needs and ensure alignment with company goals. Communicate capabilities and limitations to non-technical stakeholders. Write specs, rules files, and documentation that make AI more effective for the whole team. Metrics & Continuous Improvement Define and track key metrics to measure developer productivity, satisfaction, and AI-driven productivity gains. Use data-driven insights to prioritize initiatives and demonstrate impact. Track team-level AI adoption metrics and report on AI-augmented workflow effectiveness. Continuously iterate on processes to improve engineering velocity and quality. AI-Native Developer Experience Identify and eliminate pain points in the development lifecycle, with a focus on AI-augmented workflows. Drive adoption of AI coding tools (Cursor, Brain, copilots) as the default across engineering teams. Ensure every team member has access to and is actively using AI tools; track adoption and remove blockers (tooling, access, training). Partner with engineering teams to design AI-augmented development workflows that multiply team velocity. Coach engineers on the Builder model: planning, delegating to agents, reviewing with judgment, and shipping with velocity. AI Governance & Risk Ensure the team follows AI usage guidelines (data handling, code review, IP considerations). Flag risks from AI-generated code (security, correctness, licensing) proactively. Maintain visibility into what AI tools the team is using and how they're being used. Run regular retros and feedback loops on AI-related outcomes. Review AI-generated outputs alongside the team to build shared quality standards. Qualifications: Experience: 7+ years in software engineering, with 3+ years in a leadership role managing engineering teams. Technical Expertise: Strong understanding of developer tools, CI/CD pipelines, and modern software development practices. Hands-on experience with AI coding tools (Cursor, Claude Code, Codex, or similar) and an understanding of how to integrate them into engineering workflows. AI Fluency: Demonstrated ability to operate at the AI Augmented level or above: you personally use AI tools daily and have coached others on effective AI-assisted development. Familiar with prompt engineering, context engineering, and token economics. Builder Mindset: Comfortable with the 80/20 model (planning and review vs. direct execution). Experience orchestrating work across humans and AI agents, with strong judgment on when to delegate to AI vs. when human decision-making is critical. Leadership Skills: Proven ability to build and lead high-performing teams. Experience assessing and developing AI fluency across a team. Problem-Solving: Track record of identifying inefficiencies and implementing scalable solutions, including building or adopting AI-powered tooling and eval frameworks. Governance Awareness: Understanding of AI & non-AI related risks (security, correctness, licensing, data handling) and experience establishing quality standards for outputs. Collaboration: Exceptional communication and stakeholder management skills. Ability to translate AI capabilities and limitations to non-technical audiences. Mindset: Passion for improving developer experiences and driving organizational impact through AI-native practices with a customer first mentality. Why Join Us? Impactful Work: Shape the future of developer productivity at a fast-growing, AI-native SaaS company. AI-Native Culture: Work in an organization that treats AI as a core competency, not a nice-to-have, with industry-leading investment in AI tooling, agents, and engineering workflows. Builder Operating Model: Join a team that's redefining how software gets built: orchestrating AI agents, shipping with compound engineering, and measuring what matters. Growth Opportunities: Advance your career on a clear AI-native career pathway with structured fluency levels and development support. Flexible Environment: Enjoy the freedom of remote work with a global team. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com email or through our official careers portal on clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

About Us At TeamSnap, we believe when the world connects through sports; the world becomes better. TeamSnap is a sports and communication platform dedicated to taking the work out of play in youth sports. We also believe our jobs should excite us, our teammates should support us and our bosses should inspire us. We empower our people to bring big ideas and tiny egos, landing us on Outside Magazine’s list of “Best Places to Work" and Built In’s “100 Best Remote-First Places to Work." TeamSnap is seeking a Staff Software Engineer (Android) to lead advertising on our next-generation Android app. You'll set the technical direction for how ads come to life in the app: designing a scalable, privacy-conscious ad platform and building ad experiences that feel native to how families use TeamSnap. Along the way, you'll help shape the architecture of a modern Kotlin and Jetpack Compose app used by millions. We’re looking for critical thinkers who are excited to jump in and make an impact! We're looking for people with big ideas and tiny egos. No matter what your “job” is, you’re welcome to suggest better ways of doing anything. Our team values collaboration in a remote culture, so we regularly participate in pair sessions and virtual team swarms to stay connected and improve the team and company. What You'll Do: Architect and evolve TeamSnap's Android ad platform as a reusable, well-tested layer the whole app can build on Deliver display, native and video ad experiences across the app that fit naturally with the product Build privacy and consent into the ad stack from day one, in partnership with Legal/Privacy Make sure our app loads fast, renders smoothly, and is a delight to use Partner with Brands & Advertising, Product, Design and Data to define the roadmap, measure revenue and engagement impact, and iterate Shape the broader architecture of our Kotlin and Jetpack Compose app, including modularization and build health Lead cross-team technical initiatives through design docs, RFCs and hands-on work; mentor engineers and set Android standards with our iOS team What You'll Bring: Extensive experience building and shipping Kotlin Android apps at scale, including technical leadership at Staff level or equivalent Deep hands-on experience with Google Ad Manager on Android: native custom formats, key-value targeting, ad lifecycle and refresh, and debugging fill and delivery problems Experience with ad verification and measurement: DoubleVerify, IAS, or Open Measurement (OM SDK) and viewability Strong experience with modern Android: Jetpack Compose, Coroutines/Flow, Hilt, and multi-module architecture A track record of designing systems from scratch and leading them through launch across teams Nice to Have: Experience shipping video ads, such as the Google IMA SDK with ExoPlayer/Media3 or similar Ads in live streams (SSAI, ad breaks in live content), or experience with Amazon IVS Experience with apps for families or youth, and COPPA considerations BLE hardware integrations, or subscriptions (Play Billing, RevenueCat, Superwall) Compensation Additional Information Location TeamSnap is a fully remote company, so you need to be very comfortable working with people who aren’t in the same time zone as you. We are always expanding, but there is a small list of states we do not hire in, including Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota West Virginia and Utah and while we love all parts of the world, we can only hire permanent US residents at this time. Opportunities to Grow At TeamSnap, we work hard to provide a culture of trust, accountability, inclusivity, and boundless opportunities to grow, along with the chance to make a lasting impact and have some fun while doing it. Total Rewards • We're proud to be remote-first. We've been remote since 2009, long before COVID made it cool • Unlimited PTO and paid parental leave for ALL parents (not just primary or secondary) • 100% premium coverage of medical/dental/vision for you and your family • 401K to help you invest for the future • $1,500 annual learning and development stipend • Travel to fun locations for all-company meetings and team events • Generous home office allowance to set you up for success • TeamSnap SWAG to our store upon starting and a $50 credit on every work anniversary thereafter • A monthly stipend reimbursement for health & wellness and so much more! • TeamSnap Total Rewards Working at TeamSnap At TeamSnap, you're not a culture fit, you're a culture add. Check out our Culture Playbook and learn how we succeed at being remote-first, what makes our company so unique, and how we're inspired by our people, our customers, and our values. Inclusion and Diversity Creativity and innovation can't thrive when we're cookie-cutter images of each other. We’re quickly growing more diverse, but there's always room for improvement. We are committed to inclusion and diversity at TeamSnap, and we hold ourselves accountable for building an environment where everyone feels valued. If you need any disability-related adaptation during the recruitment process, just let us know! We are an Equal Employment Opportunity Employer.

Job Title: Principal Software Engineer, AI Location: Remote - US Salesloft is building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we're building the industry's first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth. With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate. Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future. THE OPPORTUNITY At Salesloft, our Principal Engineer for AI sets the technical direction for how machine intelligence works across our Predictive Revenue System. This is the most senior individual-contributor role on our AI engineering team: you will architect the systems that turn LLMs, machine learning models, and agentic workflows into production capabilities that thousands of enterprise revenue teams depend on. This is deep, ambiguous, frontier work. You will make the foundational architectural decisions for AI at Salesloft — how we serve models at scale, how we build reliable systems on top of non-deterministic components, how we evaluate and guardrail agentic behavior, and how we keep pace as the underlying foundation models evolve. You will set the standards other engineers build on and act as a technical multiplier across the AI organization. On a day-to-day basis, you will: Set the technical architecture and direction for AI systems across the platform — model serving, LLM-powered features, agentic workflows, and the infrastructure beneath them. Design production-grade systems that are reliable and observable despite being built on non-deterministic, probabilistic AI components. Architect evaluation frameworks, guardrails, and quality systems that make AI behavior safe, measurable, and trustworthy at enterprise scale. Lead the most complex AI engineering problems end to end — from research-adjacent prototyping through hardened production delivery. Establish engineering standards and best practices for building AI-native systems, and mentor senior engineers across the org. Keep the platform at the frontier by evaluating and integrating advances in foundation models, agent frameworks, and the modern AI stack. This role lives at the heart of how we Lead From the Front: you'll work at the edge of applied AI, prototype rapidly, and make architectural bets ahead of the field. And in the spirit of how we Make Your Mark, you'll set the AI engineering standards and systems that the entire organization builds on — engineered for scale, not for a demo. WHAT WE'RE LOOKING FOR We are looking for an engineer who operates at the highest level of technical authority in AI systems — someone who has architected and shipped production AI at scale and understands the deep challenges of building reliable systems on probabilistic foundations. You lead through technical credibility and make the engineers around you better. You embody what we call Evidence Over Ego — you make architectural decisions from evaluation data and evidence rather than hype, you invite rigorous challenge, and you change direction when the models or the data move. You bring systems thinking to a genuinely unsolved problem space and build for durability. This is the right role if you want to define how AI works on a platform at the center of enterprise revenue. THE TEAM The Salesloft AI Engineering organization builds the machine intelligence at the core of the Predictive Revenue System. The team works at the intersection of applied research and production engineering, in close partnership with Product, Data Science, and Data Platform Engineering. The team Moves as One — AI engineering, product, and data science share ownership of shipping trustworthy AI and make hard technical calls together. And we are relentlessly Customer Inspired: every AI capability is measured against whether it makes revenue teams genuinely more successful and more confident in the system. THE SKILL SET Extensive experience building and architecting production software systems at scale, with significant depth in AI/ML systems. Hands-on experience building production systems on top of LLMs or machine learning models — including designing for the challenges of non-deterministic behavior. Deep expertise in distributed systems, model serving, and the infrastructure required to run AI reliably at scale. Proven experience designing evaluation frameworks, guardrails, or quality systems for AI-driven features. A track record of setting technical architecture and standards across teams and mentoring senior engineers. Strong command of a major programming language (e.g., Python, Java, or Go) and modern cloud infrastructure (AWS or GCP). Hands-on experience with agentic systems — designing and hardening AI agents that take autonomous action in production. Depth in the modern AI stack — retrieval-augmented generation, vector stores, agent frameworks, model orchestration, or evaluation tooling. BENEFITS: For more information about our company's comprehensive benefits please visit: https://salesloftbenefits.com/ At Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings. We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law. If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us! Please note that all official communication regarding job opportunities at Salesloft will come from @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment - all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration. #LI-REMOTE It is Salesloft’s intent to pay all Lofters competitive wages and salaries that are motivational, fair and equitable. The goal of Salesloft’s compensation program is to be transparent, attract potential employees, meet the needs of all current employees and encourage employees to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The total compensation package for this position may also include performance bonus, benefits and/or other applicable incentive compensation plans. Base Pay Range $165,000—$185,000 USD

About Quilter At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal. No matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there: Focus on the mission Build great things that help humans Demonstrate grit Never stop learning Pursue excellence Quilter's File I/O team builds the bridges between Quilter and the world's leading PCB CAD tools—Altium, Cadence Allegro, and Siemens Xpedition. You'll work primarily in our Python File I/O codebase: parsing, translating, and generating complex (and often undocumented) CAD formats, and mapping them into Quilter's internal "board" model. This is a genuinely AI-native team—and we'll make you dangerous with it. A lot of companies say "we use AI." Here, we will pay for you to master it: Build your own agent harnesses for the kind of reverse-engineering we do—parsing undocumented binary formats, mapping vendor schemas, automating the tedious parts of integration work. Run real model evals on our actual problems—not vibes or Twitter threads. Develop genuine craft in prompting, context engineering, and MCP server design—skills that compound over your whole career. Operate with the leverage of a team of ten. Work that used to require a squad of engineers, you'll learn to ship solo. You'll leave this job a substantially more capable engineer than you arrived. That's the deal. What You'll Do Build and extend integrations with CAD vendors' file formats and scripting systems. Reverse-engineer proprietary binary and text-based formats, with support from senior engineers. Help shape Quilter's internal PCB representation as we expand support for new tools. Write robust, well-tested code that holds up against messy real-world customer data. Use—and help build—the next generation of agent-powered workflows for CAD reverse engineering. Own features end-to-end: design, implementation, testing, rollout. What We're Looking For 3-7 years of software engineering experience, with meaningful backend or systems work. Strong Python proficiency. This is the language you'll spend nearly all your time in, and real expertise here matters more than anything else on this list. A track record of writing clean, maintainable code in real production codebases. Genuine excitement about coding agents and a real hunger to get great at them—you want a team that will invest in that growth, not throttle it. Comfort with ambiguous, reverse-engineering-flavored problems: unfamiliar code, undocumented formats, weird edge cases. General knowledge of binary formats. Solid fundamentals in design, testing, and debugging. Strong communication and high ownership in a fast-moving startup environment. Nice to Have (genuinely nice-to-have — none of these are required, and we don't expect any one candidate to have most of them) A little C or C++ — not required at all, but occasionally helpful for skimming vendor SDKs or binary formats. Familiarity with PCB / EDA / CAD workflows or hardware tinkering. Experience with binary or large-scale serialization formats (protobuf, custom binary, XML, JSON). Experience building tooling around coding agents (evals, harnesses, MCP servers, etc.). Cloud infra (AWS, Docker, Kubernetes, Terraform). Open-source contributions in developer tooling, CAD, or simulation. Please note: We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent. What we offer: Interesting and challenging work Competitive salary and equity benefits Health, dental, and vision insurance Regular team events and offsites (~4x / year) Unlimited paid time off Paid parental leave Want to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.

Job Title: Senior DevOps Engineer Location: USA (Remote or Regional Office) Reports To: SVP of Engineering About Cyware Cyware delivers an innovative approach to cybersecurity that unifies threat intelligence, automation, threat response, and vulnerability management with data insights gleaned from assets, users, malware, attackers, and vulnerabilities. Cyware’s Cyber Fusion platform integrates SOAR and TIP technology, enabling collaboration across siloed security teams. Cyware is widely deployed by enterprises, government agencies, and MSSPs, and is the leading threat intelligence sharing platform for global ISACs and CERTs. Why We’re Hiring Cyware is hiring a Senior DevOps Engineer to build, secure, and operate the infrastructure supporting product environments in AWS and AWS GovCloud. This role owns CI/CD, deployment, and operational reliability across commercial and government environments, ensuring releases meet high standards of security, availability, and compliance across cloud boundaries, including FedRAMP High, GovRAMP Moderate, and IL5 environments. About You You are driven, inquisitive, proactive, and energetic. You have a growth mindset and are committed to delivering results. You thrive in a fast-paced, collaborative environment. You are passionate about cloud engineering, DevOps, automation, security, reliability, and scalable systems. Come join an exciting cybersecurity product startup that has closed its Series C funding round! What You’ll Do Work closely with development teams to integrate projects into production AWS and AWS GovCloud environments and ensure ongoing support. Design, build, and maintain CI/CD pipelines using Bitbucket Pipelines, GitHub Actions, Jenkins, or equivalent; support Helm chart packaging and ArgoCD/GitOps deployment into Kubernetes. Operate and harden infrastructure within compliance-heavy authorization boundaries such as FedRAMP High, GovRAMP Moderate, and IL5, maintaining continuous compliance across releases. Own environment segmentation, secrets management, and access controls consistent with NIST 800-53 and FedRAMP control families. Manage Kubernetes workloads, Helm chart versioning, and release promotion across development, staging, commercial, and GovCloud production environments. Build reliable, scalable infrastructure services in AWS and support infrastructure for both cloud and on-premise deployments. Implement infrastructure as code using Terraform, CloudFormation, or CDK for repeatable, auditable provisioning. Support database deployment and schema migration using Postgres, Flyway, or equivalent tooling tied to release cycles. Build monitoring, logging, alerting, and operational automation to meet government-grade availability and incident-response requirements. Partner with Security/GRC to prepare and maintain evidence for FedRAMP/GovRAMP continuous monitoring, POA&Ms, annual assessments, and audit cycles. Participate in incident response and root-cause analysis for GovCloud-hosted environments, with documentation meeting government audit standards. Gain deep application-level knowledge of systems and contribute to their overall design; troubleshoot application, deployment, and operations issues. Build engineering automation and productivity tools to streamline and scale production applications while minimizing manual interaction. Collaborate with Product, Engineering, Solution Architecture, and Security/GRC to keep commercial and government environments aligned with the product roadmap without compliance drift. Be a DevOps champion by building security, reliability, scalability, and best practices into the development lifecycle. Who You Are US Citizenship is a requirement of this position in accordance with 8 U.S.C. 1324b(a)(2)(C). 5+ years of experience in DevOps/Platform/Site Reliability Engineering, with 2+ years operating workloads in AWS GovCloud. Hands-on experience deploying and maintaining infrastructure under FedRAMP High or Moderate, GovRAMP/StateRAMP, or DoD IL5 authorization frameworks. Must be able to obtain and maintain a security clearance; active or eligible for a federal security clearance. Working knowledge of NIST 800-53 controls and how they translate into infrastructure and pipeline design. Strong hands-on experience with Kubernetes, Helm, and GitOps (ArgoCD or equivalent). Hands-on experience with AWS, Google Cloud, Azure, or equivalent cloud services. Experience with CI/CD pipeline engineering using Bitbucket Pipelines, GitHub Actions, Jenkins, CircleCI, or equivalent. Experience with infrastructure-as-code tools including Terraform, CloudFormation, or CDK. Experience with configuration-management/automation tools such as Chef, Puppet, Ansible, Rundeck, or equivalent. Experience with queuing systems such as RabbitMQ, Kafka, SQS, or equivalent. Experience with relational database deployment/migration tooling such as Postgres and Flyway, or equivalent. Experience supporting continuous monitoring, POA&M remediation, assessment, and audit cycles. Basic knowledge of networking concepts such as subnets and environment segmentation. Experience with containers and orchestration tools such as Kubernetes. Ability to create infrastructure services for both cloud and on-premise deployments. Exposure to Linux, EC2 security, AWS CLI, S3, CloudWatch, CloudTrail, SSH, Docker, Git, Jenkins, CircleCI, Nagios, JMeter, and BlazeMeter. Experience with startup environments and lean, collaborative engineering teams. Knowledge of MongoDB, Python/Django, data structures, and algorithms is an added advantage. Preferred Prior experience at a cybersecurity or SaaS vendor maintaining a FedRAMP-authorized environment through initial ATO and ongoing ConMon. AWS certifications such as Solutions Architect or DevOps Engineer Professional. Experience with container security scanning and software supply-chain security, including SBOM and image signing, in a government context. Familiarity with SOAR/TIP or broader cybersecurity product environments. We're a lean team, so your impact will be felt immediately. If this all sounds like a good fit for you, why not join us? Why You’ll Love Working at Cyware We foster an exciting and challenging start-up culture. We’re not just employees. We’re people. We offer a comprehensive benefits package including time off, paid holidays, retirement plans, insurance coverage and much more. We’ll invest in your career. Our company is growing quickly and we will give you the opportunity to do the same. You will have access to a number of professional development opportunities so that you can keep up with the company’s evolving needs. We offer competitive compensation packages. We deeply value the talent our team brings to the table and believe that fair and equitable total compensation packages are part of our commitment to everyone who works here. We value diversity of people, culture, and ideas. How to Apply Apply right here. You've found the application! EEO Statement: Cyware is dedicated to hiring a diverse workplace that celebrates an inclusive culture and a sense of belonging. As an equal opportunity employer, we do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, gender expression, and sexual orientation), national origin, age, veteran status, genetic information or disability. Please note, all official communication regarding this position will only be conducted through email addresses ending in "@cyware.com".

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Team Description The Brand Ad Formats team drives the development of ad formats that help advertisers maximize reach and brand impact. They focus on high-visibility, awareness-driven solutions that create memorable experiences for Reddit users. By delivering guaranteed placements and engaging ad interactions, they support major brand initiatives and help advertisers achieve measurable outcomes. The team is building fully customizable interactive formats and AI-driven ads that incorporate User-Generated Content (UGC). Moving forward, we will be doubling down on Video Ads, with the goal of turning Reddit into an industry leader and a ‘must buy’ for advertisers to promote video content. Role Description The Brand Ad Formats team is seeking a skilled Frontend engineer with a product-focused mindset to join the team. Responsibilities: Build Ad experiences and create patterns for Reddit’s web app that enhance our ads’ performance and functionality. Collaborate across product, design, and engineering teams to innovate and implement sophisticated solutions for complex challenges. Engage in the full development cycle: design, develop, QA, experiment, analyze, and deploy. Required Qualifications: 3+ years of experience in Web Engineering Proficient in Typescript and Javascript A willingness to tackle the challenges of creating data-intensive, highly responsive, and fault-tolerant apps Experience with automated testing best practices, code quality / design patterns, observability, etc. Skilled at performing insightful code reviews, and receiving feedback themself Experience leveraging GenAI tools to increase software engineering productivity Excellent communication skills: able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences Preferred Qualifications: Experience working on ad tech Experience working on consumer facing sites (high production value at scale) Technologies used on the team include: Languages: Typescript, HTML, CSS, Go Frameworks: React, Thrift, gRPC Tools: Kubernetes, Docker, Codex, Cursor Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,200—$229,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

About Quilter At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal. No matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there: Focus on the mission Build great things that help humans Demonstrate grit Never stop learning Pursue excellence We're looking for a Senior ML Engineer to join Quilter's Placer Team and help us build the AI that automates component placement on PCBs. The Role The Placer is responsible for automated component placement on PCBs. This role spans the full lifecycle: research, prototyping, productionization, and maintenance. You'll work across optimization, machine learning, and geometric deep learning on a hard, real-world combinatorial problem. This is a fully distributed team. We expect high autonomy and high ownership. What Youʼll Do Own problems end-to-end from exploratory R&D through production-hardened, maintainable systems Develop and extend GPU-accelerated code in PyTorch and CUDA C++ Work across a broad modeling landscape including RL, graph neural networks, black-box/classical optimization, and generative modeling Formulate objectives, model constraints, and debug numerical behavior in the stack Contribute to technical direction and research strategy alongside senior teammates What Weʼre Looking For 5+ years of industry experience in ML, optimization, or a related field Strong fundamentals in machine learning and optimization Production PyTorch experience Demonstrated ability to work across research and production codebases Comfort operating with high autonomy in ambiguous problem spaces Strong communication and collaboration skills Preferred 5–7 years of industry experience (Staff-level appointment may be considered) CUDA C++ experience Background in any combination of: reinforcement learning, geometric deep learning, graph neural networks, multi-objective optimization, combinatorial optimization Please note: We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent. What we offer: Interesting and challenging work Competitive salary and equity benefits Health, dental, and vision insurance Regular team events and offsites (~4x / year) Unlimited paid time off Paid parental leave Want to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.