Remote Tech Jobs in United States
Discover 110 opportunities for professionals in United States.
Deployed Software Engineer
About UsFieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and financial audit. Put simply, we build software for the people who enable trust between businesses.We’re based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. We're backed by top investors including Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.We value diversity — in backgrounds and in experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide’s team is inclusive, driven, humble and supportive. We are deliberate and self-reflective about the kind of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth.As an early stage start-up employee, you’ll have the opportunity to build out the future of business trust. We make audit practitioners’ lives easier by bringing together up to 50% of their work and giving them better work-life balance. If you share our values and enthusiasm for building a great culture and product, you will find a home at Fieldguide.About the RoleWe’re hiring Deployed Software Engineers to join our growing team. You will contribute as an engineer, take on leadership within a team, and help drive technical strategy across teams and customers. Leveling will be determined during the interview process based on scope and demonstrated experience.This is an opportunity to have outsized impact at a company with clear product-market fit and massive growth potential. We’re taking on legacy audit and accounting tools that are decades old, widely disliked, and ripe for disruption.What You’ll Do Design, build, and deliver high-quality features that drive customer and business impact Work directly with customers to identify, ideate, and solve their most challenging problems Collaborate cross-functionally with product, design, & GTM to turn complex problems into elegant, user-focused solutions Balance iteration speed with long-term maintainability and system health Continuously improve our tech stack, developer workflows, and reliability practices Contribute to a supportive, growth-oriented engineering culture based on trust, learning, and excellence Travel up to 25% of your time Core Competencies (All Levels)Technical Craft Strong software engineering fundamentals and experience shipping production code Familiarity with modern web technologies such as TypeScript, React, Node.js, Python, and GraphQL Writing maintainable, well-tested, and observable code Sound judgment around tradeoffs, reliability, and performance Impact & Execution Willingness to build a deep relationship with customers and develop creative solutions on our platform Ability to scope, prioritize, and deliver work that moves business outcomes Clear and proactive communication around progress, risks, and decisions Ownership mindset - following work through from ideation to production and iteration Collaboration & Influence Empathy for teammates and customers; contributes positively to team culture Open to feedback and committed to continuous improvement Works effectively across disciplines and functions to achieve shared goals Ability to be a voice for the customer to key stakeholders around the organization Culture & Growth Embodies Fieldguide’s values: Fearless, Fast, Lovable, Owners, Win-win, Inclusive Mentors and supports peers; contributes to hiring and onboarding processes Curious and self-driven in learning new skills, technologies, and domains Take increasing ownership - from building features to shaping architecture and mentoring others - as you grow. Higher-Level ResponsibilitiesAt the Senior level, you may: Lead complex projects or systems, setting technical direction and ensuring long-term health Collaborate with PMs and designers to shape roadmaps and define architectural tradeoffs Serve as a domain expert within one or more technical areas (e.g., frontend architecture, backend systems, developer experience) Mentor other engineers and help raise the technical bar across the team Manage relationships with some of our most complex customers with unique use-cases At the Staff level, you may: Drive company-level technical initiatives and influence cross-team architecture Set and champion engineering standards for scalability, security, and performance Partner with engineering and product leadership to define long-term technical strategy Serve as a trusted advisor to leaders across Engineering, Product, and Design Represent Fieldguide externally through writing, speaking, and open-source contributions Nice-to-Have Experience Experience or familiarity with audit, assurance, or risk management domains Shaping a new tech stack, product, or engineering org from the ground up History of demonstrated impact working directly with customers Experience working with Applied AI, especially LLMs Working with infrastructure or data layers such as AWS, Postgres, and Hasura Architecting systems for document-heavy workflows, including ingestion, processing, and retrieval Integrating or building ML-powered systems for document understanding or search Applying information security and compliance principles (SOC 2, FedRAMP, etc.)
Senior Machine Learning Engineer, GenAI Security
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 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. The GenAI Security team within Reddit’s Security, Privacy, Assurance, and Corporate Engineering organization protects Reddit’s GenAI usage across employee tools, internal agents, and production user-facing systems. Our mission is to secure and protect Reddit’s AI traffic and GenAI adoption by default.We are building zero-trust, defense-in-depth systems that verify identity, permissions, data access, and semantic intent across AI workflows. A core part of this work is developing practical, high-quality ML models that detect and prevent security risks such as prompt injection, jailbreak attempts, sensitive data exfiltration, unsafe model behavior, anomalous usage, and unauthorized agent actions.We are looking for a Senior Machine Learning Engineer to lead model development for GenAI Security and help establish strong ML practices across SPACE. This role owns the full machine learning lifecycle: problem definition, data ETL, feature engineering, model training, model evaluation, deployment, experimentation, prediction, monitoring, debugging, and retraining.What You’ll Do Build and improve security-focused ML models for Reddit’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based security signals. Own model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback. Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit. Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic. Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces. Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops. Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams to bring security models into real production workflows. Work pragmatically with Reddit’s evolving ML platform, using existing infrastructure where possible and building focused tooling when needed to keep model iteration moving. Translate security goals into measurable model outcomes and help partners understand tradeoffs between risk reduction, latency, false positives, and product impact. Provide technical direction to other engineers and serve as a go-to ML expert for GenAI Security and broader SPACE model needs. Who You Might Be 5+ years of experience building, training, evaluating, and deploying production ML or deep learning models. Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or similar. Strong practical understanding of the full ML lifecycle: problem definition, data ETL, feature engineering, training, evaluation, deployment, monitoring, debugging, and retraining. Experience building data pipelines and working with large-scale datasets. Experience designing rigorous model evaluations, including precision/recall/F1, false positive analysis, threshold tuning, calibration, holdout sets, regression tests, and production-quality validation. Experience shipping production-quality software, preferably in Python and/or Go. Strong communication skills and ability to explain model behavior, risk tradeoffs, and technical decisions to cross-functional partners. BS degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience. Experience in the following areas is a plus: Applying ML to security, privacy, trust and safety, abuse prevention, adversarial ML, or GenAI security problems. Training or fine-tuning neural text models for complex inputs such as long-context prompts, structured payloads, code-like content, multi-turn interactions, or tool calls. Production MLOps or model serving systems such as Airflow, Ray, MLflow, Triton, ONNX, Kubernetes, or similar. Improving model quality through labeling strategy, hard-negative mining, synthetic data generation, distillation, or active learning. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-remotePay 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:$216,700—$303,400 USDIn 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.
Staff Machine Learning Engineer
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.The Advertiser and Seller Experience team builds intelligent systems that help Pinterest advertisers and sellers move from insight to action. Our work spans advertiser-facing products such as Ads Manager as well as internal seller productivity tools that help sales teams identify opportunities, prepare customer conversations, troubleshoot campaign performance, and drive advertiser growth. As a Staff Machine Learning Engineer focused on Agentic AI & Recommendations, you will lead the ML strategy and execution for the intelligence layer behind these experiences. You will build recommendation systems, context foundations, and feedback loops that help AI agents understand advertiser and seller goals, surface the right next-best action, and learn from user response over time. This is a high-impact Staff IC role for someone who wants to combine deep recommendation systems expertise with modern agentic AI to shape how Pinterest advertisers and sellers work.What you’ll do: Lead the design and implementation of large-scale recommendation and decisioning systems that power proactive advertiser and seller guidance across Ads Manager, Pinterest Business Assistant, Pinnacle, and sales productivity workflows. Build ML foundations for a unified context layer and context agent that transforms campaign, account, performance, market, workflow, and interaction data into reusable signals for agentic experiences. Own recommendation initiatives end-to-end, from problem framing, label and feedback design, feature pipelines, model development, and offline evaluation through production deployment, experimentation, and monitoring. Develop evaluation and feedback loops that measure recommendation quality, user trust, action rates, business impact, and failure modes, then use those learnings to continuously improve models and agent behavior. Apply modern ML techniques such as retrieval and ranking, embeddings, personalization, multi-objective optimization, contextual decisioning, and response modeling to business-critical advertiser and seller workflows. Use AI to accelerate analysis, prototyping, documentation, and experimentation while applying strong judgment, testing, data validation, and review to ensure correctness, reliability, privacy, and customer trust. Mentor engineers and raise the technical bar for ML development, experimentation rigor, responsible AI usage, and production-quality agentic systems across the organization. What we’re looking for: 7+ years of experience building and deploying large-scale ML systems in production (e.g., ads ranking, recommendation, Agentic AI, or search), with strong end-to-end ownership from problem scoping through evaluation and experimentation, and solid software engineering skills in at least one modern language (e.g., Python, Java) and large-scale data systems. Degree in Computer Science, Mathematics, or a related technical field, or equivalent experience. Strong end-to-end ML ownership, including problem scoping, data and label design, feature engineering, model training, production deployment, offline/online evaluation, experimentation, and monitoring. Deep understanding of recommendation system architectures such as candidate generation, retrieval, ranking, re-ranking, embeddings, vector search, multi-task learning, calibration, contextual bandits, or reinforcement learning. Proven Staff-level technical leadership as a hands-on IC, setting technical direction and driving multi-quarter ML and systems roadmaps, including aligning stakeholders on priorities, trade-offs, and execution plans. Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, infra, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders. Experience using AI coding assistants (e.g., Cursor, Claude Code) and LLM-powered productivity tools to accelerate development, experimentation, and data exploration, with a clear approach to validation, data protection, and critical review of AI-assisted work. Relocation Statement: This position is noteligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. This role will need to be in the office for in-person collaboration 1 day per week and therefore needs to be in a commutable distance from one of the following offices [Seattle or Bay Area]. #LI-REMOTE#LI-DM57At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here.US based applicants only$189,308—$389,753 USDOur Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
Staff Cloud Security Engineer
About Us Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that will make that happen. Our values guide us —they are present in how we show up, make decisions, and work together to make an impact. We’re curious, driven, collaborative, genuine and humble. Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you! Summary Join our dynamic team as a Staff Cloud Security Engineer, where you'll play a pivotal role in securing the Temporal cloud environment for our customers. In this position, you'll work closely with our infrastructure teams, software engineering teams, and customers to build security deeply into our platform across multiple clouds. You'll also help shape how we use AI responsibly in both our infrastructure and our engineering processes. We're looking for individuals who are passionate about enabling engineering teams to build and ship securely, serving as trusted security partners across the organization. What You’ll Do Collaborate with product and engineering teams to integrate security principles into the design and architecture of cloud infrastructure across multiple clouds (AWS, GCP, Azure, and others). Secure Temporal's core platform components, including the workflow engine, task queue architecture, and worker execution model - identifying attack surfaces unique to durable, stateful distributed systems. Conduct threat modeling and risk assessments to identify vulnerabilities and potential attack vectors across our multi-cloud environment, with particular focus on workflow execution, task queue integrity, and client-server trust boundaries. Secure Temporal's gRPC-based communication layer, including mTLS certificate management, service mesh configuration, and API authentication. Manage cloud security posture using tools such as Wiz, including misconfiguration detection, compliance monitoring, and remediation across all three cloud providers. Stay current on emerging cloud security standards and guidance (e.g. CSA Cloud Controls Matrix, CIS Benchmarks) and translate these into actionable internal policy. Able to participate in on-call rotation. What You’ll Bring Bachelor’s degree in Computer Science, Cybersecurity, or a related field (or equivalent experience). 5+ years in cloud security or a related role. Proven partnership with engineering teams, bringing security expertise to infrastructure access and security posture. Kubernetes security posture management and auditing, including workload hardening, RBAC design, and admission control. Demonstrated experience with multi-tenant security architecture, including data plane isolation, control plane hardening, and cross-tenant data leakage prevention. Strong opinions on the use of AI in different areas (assessments, threat models, penetration testing, etc). A deep understanding of application architecture and design principles, ability to effectively identify vulnerabilities across multiple programming languages Experience with secrets management at scale (e.g. HashiCorp Vault, AWS Secrets Manager) and payload encryption patterns such as codec servers for protecting sensitive workflow data. Proficiency in Go; familiarity with Python. Go is Temporal's primary server and SDK language. Strong command of gRPC security, mTLS, and service mesh architectures (Istio, Envoy). Excellent communication and ability to explain complex security concepts to non-technical stakeholders. Excellent collaboration and communication skills. Nice to Have Prior experience with Temporal, Cadence, or similar workflow orchestration platforms and an understanding of workflow history, replay semantics, and scheduling internals. FedRAMP, SOC 2 Type II, or ISO 27001 experience, particularly in the context of cloud-native SaaS. Open Source automation or automation projects. Expertise in other areas of security (AppSec, CorpSec, GRC) Security conference talks or published research. Compensation The estimated pay range for this role is $225,000 - $275,000, depending on qualifications and location. This role is eligible to participate in Temporal's equity plan. Compensation ranges reflect salary and commission compensation (when applicable) across several geographic markets. Employment offers carefully consider multiple factors, including prior experience, knowledge, expertise, skillset, market location, and job level assessed during the interview process. Employee benefits and perks below are for full-time employees, part-time or temporary positions are excluded. U.S. Benefits Unlimited PTO, 12 Holidays + 2 Floating Holidays 100% Premiums Coverage for Medical, Dental, and Vision AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available) Empower 401K Plan Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more! International Benefits Paid Time Off (PTO) and Benefits outside the United States vary by country, and are issued in partnership with Remote.com. Additionally, Temporal offers perks to all international employees for learning & career development, a lifestyle spending account, in-home office setup (in addition to company-issued hardware), professional memberships, work-from-home meals, and access to the Calm app for mental wellness. Travel Temporal is a globally distributed, collaborative team that values opportunities for in-person connection. Occasional travel may be required for company events, team offsites, and other meaningful moments that bring us together. Additional Perks $3,600 / Year Work from Home Meals $1,800 / Year Professional Enrichment (Career Development & Professional Memberships) $1,200 / Year Lifestyle Spending Account $1,000 / Year In-Home Office Setup (In addition to Temporal issued equipment - laptop, monitor, keyboard, mouse, trackpad, and extension power cable at no cost to you) $74 / Month Reimbursement for Internet Calm App Subscription for Mental Health & Wellness Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist. We are not working with external recruitment agencies, thanks.
Senior Staff Software Engineer - Data Platform
This is a software engineering role on a software engineering team. The team builds and operates the data platform: the infrastructure, abstractions, and SDKs that the rest of Marqeta's data and ML organization runs on. We are not writing pipelines–we are building the platform pipelines run on.If you've spent your career building infrastructure that other engineers depend on; and you know the difference between “software engineering” and "data engineering", read on.We work Flexible First. This role can be performed remotely anywhere within the United States or from our Oakland office. We’d love for you to join us!Learn more about our Product and Engineering team.At Marqeta, participation in a rotational on-call pager duty is a required part of the software engineering role. The specifics of the rotation may vary by team, depending on team size and structure, and will be discussed further during the interview process.What you'd ownThe lakehouse and the streaming ingestion that feeds it. Iceberg/Delta on S3, Spark/Glue processing, Kafka and CDC pipelines, the abstractions that let other teams land data, build pipelines, and publish datasets without inventing the patterns themselves. You’d help set the multi-year technical direction, design the golden paths, and ship the work — directly, with your hands on the code that matters.How the team worksYou’d report to the Director of Data Engineering and partner with a peer Manager whose scope is people leadership and operational delivery. You own technical direction, application architecture, and the engineering bar. You’ll work alongside other senior staff engineers across the broader data platform org, and partner with security, compliance, and the consumer teams who depend on what we ship.What "hands-on" actually means hereWorth being specific, because “hands-on” means different things to different people: Yes: writing production code on the platform's hardest problems, owning the design and build of new abstractions end-to-end, leading design reviews, setting the engineering bar through the work itself. Sometimes: prototyping, deep diving on a tricky migration, pairing with engineers on tough problems. What the work looks like Modernization. Building out the lakehouse — the patterns Marqeta will run on for years. New abstractions, new tooling, the paved road internal teams want to use. Live system work. Evolving and hardening the platform that's already in production. Reliability, performance, developer experience — improved without disrupting the teams who depend on it. Engineering excellence. Testing confidence, release velocity. On call, blameless postmortems. What you bringWe care more about demonstrated work than years on paper, but the experience this role asks for typically takes around a decade to accumulate. A career building data platforms, not just pipelines. You can name the abstractions you've designed, the teams that adopted them, and the problems they solved. If most of your last several years has been writing transformations rather than building the system transformations run on, this isn't the right shape. Production depth in modern lakehouse work. Iceberg or Delta in production. Strong fluency in the surrounding stack: AWS data services (S3, Glue, EMR), Spark, Airflow, Kafka, IAM boundaries for multi-tenant data access. You don't need depth in all of it — you need real depth in the lakehouse and credible engagement with the rest. Mastery of Python in a production data-platform context, with credible depth in Go or Java. Idioms, ecosystem, performance characteristics, the parts that bite at scale. The ability to adopt the best tool for the job. A track record of evolving live infrastructure. Improving reliability, performance, and DX on systems that real teams depend on, sequenced so the work doesn't disrupt them. Ownership of major platform transitions. Build vs. buy, migration design, risk management, all the way through to delivery. You've led at least one of these end-to-end and can talk through what went right, what didn't, and what you'd do differently. Influence as a working skill. You build alignment across platform, security, and consumer teams. You write design docs and RFCs people actually read. You can hold a strong technical position and update on evidence. A history of growing other engineers — including peers at your level. The team gets stronger because you're on it. Helpful, not required: payments or fintech context (PCI-DSS, SOX, SOC 2). CDC tooling experience (Debezium, Kafka Connect). Data governance tooling (DataHub, Amundsen, Collibra). Public technical writing or open-source contributions to data infrastructure.Typical Process Application Submission Recruiter Video Call Coding Interview & Hiring Manager Interview Virtual "Onsite" consisting of four 45-60 min video calls Offer! Compensation and BenefitsMarqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States: National: A baseline tier that applies to most of the geographic territory of the United States. Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City. Visit this page or consult with a Recruiter to determine which tier would be applicable to you.When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is: National: 200,500 - 250,600 Premium: 210,200 - 262,800 Premium Plus: 220,000 - 275,000 We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.Along with monetary compensation, Marqeta offers Multiple health insurance options Flexible time off – take what you need Retirement savings program with company contribution and after tax contributions Equity in a publicly-traded company and an Employee Stock Purchase Program Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave Free therapy sessions, financial and professional coaching, and legal advice Monthly stipend to support our remote work model Annual “development dollars” to support our people growth and development Through Flex First, the freedom to live and work wherever you and your family thrive
Engineering Manager, Advanced Signals (SWE)
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 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Role DescriptionAs the Engineering Manager of the Ads Advanced Signals Team at Reddit, you'll lead the team responsible for the APIs, integrations, and tooling that power both inbound and outbound signals for Reddit Ads, which includes helping advertisers What You’ll DoAds Advanced Signals Technical VisionYour primary mission will be to scale and evolve the APIs, integrations, and tooling that power Reddit’s off-platform signals ecosystem. This includes both collecting high-quality inbound signals and delivering outbound data products that advertisers and partners use to measure and optimize performance. There is significant room to guide technical vision that will have a meaningful impact on Reddit’s ads business.ExecutionYou will own the execution of your team’s roadmap and be accountable for consistent, predictable delivery. You will prioritize both planned projects and emergent asks. You will coach Tech Leads on project management and empower your team to execute autonomously. You will identify risks and proactively communicate them both internally and externally.Career DevelopmentYou will help your engineers identify career goals and create development plans to achieve them. You will constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.Quality ControlYou will work with your team to develop processes and tooling that constantly improve the quality of our products and systems, ensuring that they meet product requirements, customer needs, and SLAs.Organizational AlignmentYou will serve as a thought partner to product and upper management to ensure your team’s plans align with company goals. You will become an expert in the digital ads business and our customer needs. You will participate in and challenge prioritization decisions. You will communicate your team’s work and set expectations with external stakeholders.Responsibilities: Manage and lead a team of engineers building products, APIs, and data integrations for collecting and distributing off-platform signals Drive adoption of Reddit’s Conversions API, and associated integrations by creating strong developer experiences Own a roadmap spanning inbound signals collection and outbound measurement/reporting capabilities Collaborate with cross-functional teams, including Product, Data Science, Sales, Solutions, and Business Engineering, to improve advertiser outcomes and drive revenue Set team goals and objectives, and track progress toward achieving them Identify and develop talent within the team and provide mentorship and career development opportunities Qualifications 2+ years of experience leading engineering teams & atleast 5+ years of experience as a software engineer Experience in Ads domain; (Nice to have) - Ads domains that leverages conversion signals, signals integrations, mobile measurement partner integrations, and measurement vendor integrations Experience partnering with product managers and designers to build new products Strategic Thinking: Ability to develop and communicate a clear, compelling technical strategy that supports broader company objectives and addresses the needs of internal customers. Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible solutions that drive business value. Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners Perks and Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Competitive salary and equity options Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc) Generous 401k matching Flexible vacation policy Paid parental leave (4+ months) Family planning support Paid volunteer time off #LI-AS1Pay 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:$217,000—$303,900 USDIn 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.
Software Engineer, CI/CD
tooling at scale. This includes remote caching, remote execution, target identification and selection, etc. Operate and scale... metrics, Grafana dashboards, and automated alerting to maintain high signal-to-noise on pipeline reliability Reduce developer
Software Engineer, CI/CD
tooling at scale. This includes remote caching, remote execution, target identification and selection, etc. Operate and scale... metrics, Grafana dashboards, and automated alerting to maintain high signal-to-noise on pipeline reliability Reduce developer
Enterprise Security Engineer
About the TeamEnterprise Security is the primary point of contact for employee-focused security across DoorDash, Wolt, and Deliveroo. We deliver secure-by-default systems, processes, and controls for everyone who works here, and we build the self-service tooling that makes the secure choice the easy one. We partner closely with IT, Legal, Privacy, and Engineering to protect our people, devices, and data without slowing them down.About the RoleAs an Enterprise Security Engineer, you'll help implement and operate the security controls that protect our workforce, endpoints, and corporate software environment across DoorDash, Wolt, and Deliveroo. You'll spend your time tuning the tools that keep employees secure, building automation that removes repetitive work, and partnering with teams across the company to make the secure path the easy one. It's an exciting time to join as we mature security across three global brands and lean into AI-assisted ways of working. You will report into the US Enterprise Security Team Lead on our Enterprise Security team in our Global Information Security organization.You're excited about this opportunity because you will… Implement and tune core security controls that protect employees across three global brands such as phishing-resistant multi-factor authentication, conditional access, device trust, and software-as-a-service (SaaS) posture management. Operate the day-to-day security stack, spanning endpoint detection and response (EDR), zero-trust network access, identity-aware proxies, browser security, and data loss prevention (DLP). Use AI-assisted coding tools to automate security workflows, incident response, and compliance evidence collection, verifying the output before it ships. Address modern SaaS risk such as shadow IT, OAuth token sprawl, and high-risk application reviews, partnering with IT and third-party risk teams. Help teams adopt secure-by-default baselines so that security supports their work rather than blocking it. We're excited about you because… You have 5+ years of experience in security engineering, enterprise security, IT security, or a related field. You have hands-on experience administering identity providers (e.g., Okta) and Google Workspace, and working knowledge of modern authentication standards (SAML, OAuth 2.0, OpenID Connect, FIDO2/WebAuthn). You have practical experience operating EDR/XDR platforms and securing macOS, Windows, and Linux endpoints through mobile device management (MDM). You have hands-on experience with at least one major cloud platform (e.g., AWS, GCP). You can write production-quality automation scripts (e.g., Python, Go) and communicate clearly in writing. Nice to Haves Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or equivalent practical experience. Hands-on experience with one or more of: Tailscale, Google IAP, GitHub enterprise controls, Palo Alto Cortex, Chrome Enterprise. Experience with SaaS Security Posture Management (SSPM), CASB, or OAuth-scope governance. Experience operating DLP controls, particularly native DLP capabilities in major SaaS platforms. Experience with Infrastructure-as-code (e.g. Terraform) applied to security tooling. Experience supporting ISO 27001 or SOC 2 audits. Contributions to the security community (blog posts, conference talks, bug bounty, open source). Relevant certifications (e.g. CISSP Associate, GIAC). What success looks like in your first 6 months You've taken ownership of the day-to-day operation of at least one EntSec tool (e.g. Cortex policy tuning, Tailscale ACL maintenance, or GitHub user-centric controls). You've shipped at least one AI-assisted automation that eliminates a recurring ticket category in the Jira support queue. You've completed an exception-handling review of endpoint posture policies and surfaced any drift or gaps. Applications for this position are accepted on an ongoing basisCompensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado.$130,600—$192,000 USDAbout DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.
Enterprise Security Engineer
About the TeamEnterprise Security is the primary point of contact for employee-focused security across DoorDash, Wolt, and Deliveroo. We deliver secure-by-default systems, processes, and controls for everyone who works here, and we build the self-service tooling that makes the secure choice the easy one. We partner closely with IT, Legal, Privacy, and Engineering to protect our people, devices, and data without slowing them down.About the RoleAs an Enterprise Security Engineer, you'll help implement and operate the security controls that protect our workforce, endpoints, and corporate software environment across DoorDash, Wolt, and Deliveroo. You'll spend your time tuning the tools that keep employees secure, building automation that removes repetitive work, and partnering with teams across the company to make the secure path the easy one. It's an exciting time to join as we mature security across three global brands and lean into AI-assisted ways of working. You will report into the US Enterprise Security Team Lead on our Enterprise Security team in our Global Information Security organization.You're excited about this opportunity because you will… Implement and tune core security controls that protect employees across three global brands such as phishing-resistant multi-factor authentication, conditional access, device trust, and software-as-a-service (SaaS) posture management. Operate the day-to-day security stack, spanning endpoint detection and response (EDR), zero-trust network access, identity-aware proxies, browser security, and data loss prevention (DLP). Use AI-assisted coding tools to automate security workflows, incident response, and compliance evidence collection, verifying the output before it ships. Address modern SaaS risk such as shadow IT, OAuth token sprawl, and high-risk application reviews, partnering with IT and third-party risk teams. Help teams adopt secure-by-default baselines so that security supports their work rather than blocking it. We're excited about you because… You have 5+ years of experience in security engineering, enterprise security, IT security, or a related field. You have hands-on experience administering identity providers (e.g., Okta) and Google Workspace, and working knowledge of modern authentication standards (SAML, OAuth 2.0, OpenID Connect, FIDO2/WebAuthn). You have practical experience operating EDR/XDR platforms and securing macOS, Windows, and Linux endpoints through mobile device management (MDM). You have hands-on experience with at least one major cloud platform (e.g., AWS, GCP). You can write production-quality automation scripts (e.g., Python, Go) and communicate clearly in writing. Nice to Haves Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or equivalent practical experience. Hands-on experience with one or more of: Tailscale, Google IAP, GitHub enterprise controls, Palo Alto Cortex, Chrome Enterprise. Experience with SaaS Security Posture Management (SSPM), CASB, or OAuth-scope governance. Experience operating DLP controls, particularly native DLP capabilities in major SaaS platforms. Experience with Infrastructure-as-code (e.g. Terraform) applied to security tooling. Experience supporting ISO 27001 or SOC 2 audits. Contributions to the security community (blog posts, conference talks, bug bounty, open source). Relevant certifications (e.g. CISSP Associate, GIAC). What success looks like in your first 6 months You've taken ownership of the day-to-day operation of at least one EntSec tool (e.g. Cortex policy tuning, Tailscale ACL maintenance, or GitHub user-centric controls). You've shipped at least one AI-assisted automation that eliminates a recurring ticket category in the Jira support queue. You've completed an exception-handling review of endpoint posture policies and surfaced any drift or gaps. Applications for this position are accepted on an ongoing basisCompensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado.$130,600—$192,000 USDAbout DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.