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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable—not just more engaged. This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability—and shipping features based on what we discover. You'll have significant creative license to define what "good" looks like, exploring new interaction patterns rather than optimizing existing ones. We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow. You'll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking. Responsibilities: Ship features that help users develop real skill with AI—measuring success by capability growth, not time-on-site Architect end-to-end prototypes (front-end and back-end) that test new interaction paradigms, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel Define technical direction for the team—establish patterns others can follow Build relationships across Product, Design, and Research to influence how skill development principles shape Anthropic's broader product strategy Shape team strategy and roadmap—identify the highest-leverage opportunities and build conviction across stakeholders Translate research insights about skill development and human-AI collaboration into shipped product through close collaboration with researchers Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization You may be a good fit if you have: Strong full-stack engineering with design sensibility 6+ years building and shipping web products, with deep expertise across the stack Strong front-end craft: TypeScript/JavaScript, React, CSS—with an eye for interaction design, motion, and visual detail Solid back-end and data pipeline experience: Python, API design, analytics infrastructure A portfolio showcasing innovative interaction designs and high-quality implementations Track record of independently driving features from prototype to production Deep conviction about human capability Strong perspective on how technology should enhance human capabilities rather than diminish them Experience or genuine passion for skill development, HCI, developer tools, or products that help people become more capable Skepticism of purely engagement-driven metrics; interest in measuring capability outcomes Research mindset with product execution Comfort with ambiguity and exploring undefined problem spaces Ability to rapidly prototype, test with users, and iterate toward production Strong instincts for product design and user experience, even without formal design training Strategic leadership and coalition building Experience setting vision, shaping team strategy, and building conviction across cross-functional stakeholders Ability to build productive relationships with Product, Design, Research, and Engineering teams—especially when your team isn't the owner Strong sense of prioritization—knowing what to build now, what to defer, and what to cut Track record of influencing roadmaps and decisions beyond your immediate team Strong candidates may also have: Experience in developer tools, creative tools, learning platforms, or other products where user skill development and mastery matter more than time-on-site Background in learning sciences, cognitive science, HCI, skill acquisition research, or educational psychology (formal or self-directed) Experience with experimentation frameworks, A/B testing, or analytics that measure capability development in production Previous experience in research labs, frontier tech companies, or startups with high autonomy and ambiguity Published writing, talks, or open-source work on skill development, human-AI interaction, or product philosophy Experience building AI-native product experiences or working with LLMs in production contexts Strong candidates may also have Background in learning sciences, cognitive science, HCI, or educational psychology Experience in developer tools, creative tools, or learning platforms where mastery matters more than engagement Published writing, talks, or open-source work on skill development or human-AI interaction Experience building AI-native product experiences or working with LLMs in production What this role is not This is a hands-on technical role building product features, embedded within a research team. You'll provide technical guidance and help set direction, but this role doesn't involve people management off the bat. If you're looking to immediately transition into engineering management or lead a large team, this likely isn't the right fit. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built. As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership. Representative projects Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition. Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions. Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required. Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor field failures/RMA. Bring manufacturing requirements and validation data into each development phase review so the engineering team has a single prioritized list of what to fix before the next build. You may be a good fit if you Have carried a hardware product from early builds through mass production at a contract manufacturer or ODM. Have set up or improved assembly and test processes at a manufacturing partner and drove yield, quality, and schedule commitments. Use structured manufacturing and root-cause methods (DFM, FMEA, SPC, 8D or similar) as a matter of habit, and are an expert at translating messy failure data into clear decisions. Can write a product-specific test plan and judge whether test coverage is sufficient. Communicate clearly with partner engineers and operations staff on the floor as well as with leadership in a readout. Are willing to travel to partner sites up to 50% of the time. Have a degree in Electrical, Mechanical, Industrial, or Materials Engineering, or equivalent practical experience. Strong candidates may also Have been the technical lead for a data center hardware program such as: server, storage, switch, rack, or accelerator. Have stood up a new manufacturing line or site, or brought up a second CM for an existing product. Have experience with liquid-cooled or high-power-density rack systems. Possess a Master's degree in a relevant engineering discipline. Have worked closely with sourcing and supply chain teams on component qualification and multi-sourcing strategies. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About the Team The Emerging Products team is a lean, high-output product lab group that builds products at the forefront of model capabilities. We collaborate across all teams within the company, from research and infrastructure to consumer products. The team is responsible for identifying new product opportunities, building them quickly, dogfooding them internally, and then launching the successful products to users. We use data, user research, and analytics to inform our ideas, and make decisions on what experiments are worth iterating, stopping, or scaling. About the Role We’re looking for a senior, product-minded software engineer to own ambiguous 0-to-1 work from idea through prototype, validation, and handoff. This is a full-stack role with a strong frontend and product emphasis: you will build the interfaces and supporting backend systems needed to test new experiences quickly, while making sound architectural choices that enable successful concepts to scale. This role is based in our Mission Bay office in San Francisco. In this role, you will: Build and ship high-quality, product experiments across the full stack. Turn ambiguous user needs and emerging technical capabilities into testable product concepts, using research and metrics to guide iteration. Own technical direction for 0-to-1 projects, balancing speed, reliability, and a clear path from prototype to scalable product. Partner closely with design, product, research, and engineering teams to dogfood, evaluate, launch, and transition successful experiments. You might thrive in this role if you: Have a track record of building and shipping end-to-end products in fast-moving, startup, founder-led, growth, or other high-ownership environments. Bring strong frontend engineering skills and enough backend and systems depth to make sound full-stack architectural decisions. Pair product intuition with evidence, using user research and product data to identify opportunities and make pragmatic tradeoffs. Operate with a high degree of autonomy, move quickly through ambiguity, and create lightweight structure where little exists. Communicate clearly across disciplines and are willing to learn whatever is needed to move a product forward. 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.
Who we are About the team Link is a digital wallet designed for effortless and secure online payments and digital transactions. With Link, consumers enjoy convenience and peace of mind—it works on any device or browser, is backed by the highest security mechanisms, offers purchase protections on eligible items, and ensures seamless and quick payments. Across the Link Engineering org, we focus on building delightful payment experiences and allowing our global consumer base to pay with their preferred payment methods. Our team's work spans the entire stack from front-end experiences, to infrastructure that supports low-latency transactions, to intelligent systems that help protect consumers and merchants from bad actors. Team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you'll do We're looking for engineers who want to make an impact on payments at a global scale. You'll play a key role in expanding our product suite and the infrastructure that supports it. Our team collaborates with many cross-functional teams and many other teams across Stripe to deliver innovative solutions that address evolving user needs. Responsibilities Build and design the next generation of Stripe products to meet the high-growth needs of our company and customers for years to come Debug and solve critical production issues across services and multiple levels of the stack Mentor engineers to help them grow Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 2–10+ years of industry software engineering experience (does not include internships or co-ops) Strong coding skills in any programming language Strong collaboration skills and the ability to work across workstreams within your team and contribute to your peers' success Ability to thrive with a high level of autonomy and responsibility and an entrepreneurial mindset Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users Preferred qualifications Experience with large-scale financial tracking systems Good understanding and practical knowledge in cloud-based services (e.g., gRPC, GraphQL, Docker and Kubernetes, cloud services such as AWS, etc.)
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Global Payments Experiences group is an organization focused on bringing new and novel payment methods to Stripe, and ensuring Stripe's systems work well for merchants globally. This team works with internal and external partners to expand regional, non-card payment options, and to expand the use of Stripe's payments processing globally. What you'll do This is a São Paulo-based team, with platform teams in the US and Europe and sister teams worldwide. This team in particular will build and maintain new payment methods for Stripe, with a focus on LATAM and North America. They will manage local market idiosyncrasies, become regional experts that other Stripe teams will rely on, and partner with many non-tech functions at Stripe to expand our global reach and product portfolio. Responsibilities Design and reason about integration experiences with a strong focus on end-user simplicity and developer experience Build back-end services and integrations across Stripe's payments product Engage and interact with external partners to determine and build technical solutions Engage directly with users to understand their business needs and translate requirements into concrete solutions Collaborate with cross-functional teams including product, partnerships, eng platforms, and other engineering teams to deliver these solutions Contribute to software platforms used across payments at Stripe Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 5+ years of full stack engineering experience Strong command of verbal and written English language Experience working across geographies Experience building extensible, leveraged software solutions that scale to different kinds of user needs, with the ability to empathize with users and advocate for exceptional user experiences Preferred qualifications Previous experience working in payments and on payments technology Previous experience using Stripe products
About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team We are a brand new team, working quickly to accelerate Stripes engineering productivity by effectively deploying LLM agents and tools to automate large swaths of the engineering workflow. We’re a cross-continent team, spanning North America and Europe - filled with high agency engineers with strong product perspectives. Some examples of what we work on: here and here . What you’ll do You will build the next generation of internal AI coding tools and platforms, to massively accelerate Stripe’s engineering productivity safely and with a clear focus on our users’ needs. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements We’re looking for someone who has: Strong software engineering skills and ability to write high quality code at high velocity 2-5 years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms Hands on experience building tools or platforms used by other engineers or internal users Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome Have the ability to thrive with a high level of autonomy, and responsibility Experience using AI developer tooling as part of their day-to-day workflows Minimum requirements We’re looking for someone who has: Strong software engineering skills and ability to write high quality code at high velocity 2-5 years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms Hands on experience building tools or platforms used by other engineers or internal users Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome Have the ability to thrive with a high level of autonomy, and responsibility Experience using AI developer tooling as part of their day-to-day workflows Preferred qualifications Deep curiosity and opinionation about the use of AI in software engineering. Direct experience building coding or other software development tools. We’re excited about rounded engineers, but would be extremely excited to find engineers that fit one of these two archetypes High data fluency engineer - demonstrated ability to use large datasets to pick out user insights and inform product development. Product engineer - demonstrated ability and opinionation on great product experiences, with high attention to detail. Bonus if this demonstrated experience is in developer tooling.
Who we are About Bridge Bridge is building a new payments platform powered by stablecoins to make global money movement simpler, faster, and more accessible. Through our APIs, businesses can send and receive funds across borders, give customers access to dollars through virtual accounts, and disburse USD globally. We believe stablecoin rails will become a foundational part of financial infrastructure, moving and settling trillions of dollars worldwide. Bridge is helping bring that future forward. Our team has built financial infrastructure at companies including Coinbase, Stripe, Square, Brex, Upstart, DoorDash, and Airbnb. We are united by the conviction that stablecoins can materially improve how money moves around the world. What you’ll do Build and ship end-to-end product experiences across frontend applications, backend services, APIs, and data systems. Design reliable, performant, and intuitive interfaces for developers, operations teams, and end users interacting with Bridge products. Develop and maintain the APIs and backend systems that power global payments, virtual accounts, and payouts. Own projects from technical design through launch and iteration, often operating with substantial autonomy and without dedicated product management support. Debug and resolve production issues across the stack, with a focus on reliability, performance, and customer impact. Make thoughtful tradeoffs among business priorities, user experience, speed of execution, and long-term technical quality. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 6+ years of professional software-engineering experience. We are open to candidates across a range of seniority, from experienced individual contributors through senior technical leaders. Experience building and shipping production software across both frontend and backend systems. Strong experience with backend services, SQL databases, and API design. Experience building polished, maintainable web applications and collaborating closely on product and user-experience decisions. A strong sense of ownership, with the ability to lead technical projects and influence product direction. Ability to write modular, well-tested, maintainable code while remaining pragmatic and moving quickly. Comfort operating in a fast-paced, ambiguous environment and diving into unfamiliar problem spaces. Excellent written and verbal communication skills, including the ability to produce clear technical documentation. Curiosity, sound judgment, and a commitment to continuously improving the product for partners and end users. Preferred qualifications Experience building developer-facing API products or platforms. Experience with financial infrastructure, payments, money movement, or other regulated products. Interest in or experience with stablecoins, blockchain systems, or distributed systems. Experience designing systems that require high reliability, strong security controls, and careful operational discipline.
Note: if you are an intern or new grad applicant, please do not apply using this link and visit our jobs page for those specific postings. Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Organization Money as a Service (MaaS) oversees a diverse portfolio of Stripe's core products and platforms. These offerings facilitate the global movement and management of funds for users. The teams that fall under the MaaS umbrella include: Accounts and Connect, Money Movement and Storage (MMS), Crypto and Banking as a Service (BaaS). Together, these teams work to ensure Stripe users have the robust financial infrastructure and tools they need to power their businesses on a global scale. Team Matching: exact team matching for one of the sub-teams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you’ll do We’re looking for Full Stack engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner. Responsibilities Build end-to-end experiences for Connect that make it as easy as possible to participate in the Internet economy and receive money online. Some of Stripe’s largest users are platforms that connect senders of payments with receivers of payments. Lyft connects riders to drivers, Kickstarter connects backers to projects, and Squarespace connects shoppers to online stores. All of them participate in doing business online, and all of them use Connect. Make it easy for Connect platforms to scale their business through leveraging the full power of Stripe’s products via the dashboard, adding to their business models and product functionality while reducing integration lift and complexity. Build great product experiences (integrate with Instant Payouts, Issuing, Capital, Terminal, etc) into all of Connect’s dashboard surfaces. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 2-12+ years of industry software engineering experience (does not include internships or co-ops). You enjoy data modeling challenges and have a high bar for keeping your solutions expressive yet simple to use. Excellent written and verbal communication. Enjoy being a generalist working on both the frontend, backend, and anything it takes to solve problems and delight users both internally and externally. Thrive in a collaborative environment involving different stakeholders and subject matter experts. Take pride in working on projects to successful completion involving a wide variety of technologies and systems. Can stitch together many different services and processes together even if you have not worked with them before. Can put yourself in the shoes of your users and be a steward of crafting great experiences. Enjoy working with a diverse group of people with different expertise. Uphold best practices in engineering, security, and design. Preferred Qualifications Experience working in high-growth teams similar to Stripe. Experience building financial systems or tools for financial experts.
About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Organization Support Experience Engineering builds the technology that powers Stripe's global support operations. Our engineers create the systems and services that support agents worldwide rely on every day to resolve issues for Stripe's millions of merchants and users — at scale, in real time, and across a growing range of channels and offerings. The Case Resolution Platform team owns the core infrastructure and tooling that enables support agents around the world to do their best work. This includes case routing, live channels infrastructure spanning voice and messaging, machine translation, and integrations that connect Stripe's support stack to the platforms agents depend on. What you'll do We're looking for full-stack engineers who want to make an impact on the tools and infrastructure that power global customer support at scale. Our team collaborates with many cross-functional teams — from Infrastructure to Product to Operations — to deliver reliable, high-quality systems that support agents and merchants depend on every day. The team is actively expanding its live channels infrastructure to support new messaging platforms, including in Greater China, requiring collaboration with third-party providers in the region. Responsibilities Design, build, and maintain full-stack services and infrastructure — spanning both backend systems and user-facing tooling — that support agents around the world rely on to resolve merchant and user issues in real time Expand and deepen live channel integrations — including voice, messaging, and emerging platforms — across Stripe's global support operations Debug and solve critical production issues across services and multiple levels of the stack Collaborate with internal stakeholders across the company to build new features at large scale, while improving internal engineering standards, tooling, and processes Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 5+ years of industry software engineering experience Native Mandarin fluency Full-stack engineering experience, with front-end proficiency; React and Ruby are our primary technologies Superb communication skills working with both technical and non-technical stakeholders Reasoned judgement to unblock yourself and make rapid forward progress in ambiguous domains Comfortable working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users User empathy and a customer-centric approach to problem solving Preferred qualifications Experience building or integrating third-party platform APIs, particularly in the communications or customer support tooling space Familiarity with real-time communication systems or messaging infrastructure Demonstrated technical leadership on ambiguous, impactful projects Good understanding and practical knowledge of cloud-based services (e.g., gRPC, GraphQL, Docker/Kubernetes, AWS, etc.)
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Web Presence and Platform (WPP) is organized into two pillars, each of which is grouped into pods that focus on the central tenets of Stripe's public mission. The Presence pillar creates industry-leading designs for Stripe's front door surfaces, educates customers about the power of our platform, and drives our business success. The Platform pillar builds the internal machinery that powers these surfaces, and is responsible for making our websites fast, stable, and easy to modify. WPP offers exciting opportunities to have a major impact on Stripe's success, as stripe.com is often a user's first impression of the company, and the vast majority of signups come via the website. We'll apply data-driven rigor to our curiosity, and we'll come up with clever ways to get insight into important questions. We'll have the leeway to test out-of-the-box ideas alongside incremental ones. We'll apply Stripe's users-first mentality both internally and externally, crafting tangible productivity and quality-of-life improvements for colleagues while maintaining and elevating the quality of stripe.com. What you'll do As a software engineer, you'll design and build platforms and services that are configurable and scalable around the globe. You'll partner with many functions at Stripe, with the opportunity to both work on infrastructure and platform systems and produce direct user-facing business impact. Organizations is one of Stripe's biggest bets. You'll join a team with an ambitious and exciting goal at an early stage, with several opportunities to solve complex engineering problems at scale. If this sounds exciting, we'd love to speak with you. Responsibilities Design, build, and maintain scalable, reliable, and performant services and systems Work with a wide range of systems, processes, and technologies to own and solve technical and product problems Build and launch new capabilities and products that bring significant value to customers Uphold our high engineering standards and elevate quality and engineering efficiency within our many codebases and processes Collaborate with stakeholders across the organization including dependency engineering teams, product, design, infrastructure, and operations Debug production issues across services at multiple levels of the stack Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements Strong technical background, including 3+ years of experience as a backend engineer, with an affinity for building scalable backend infrastructure Experience delivering, extending, and maintaining large-scale distributed systems Empathetic, collaborative, and user-first mindset in everything you build Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users Ability to stitch together many different services even if you haven't worked with them before Preference for simple solutions and designs over complex ones and good intuition for what is lasting and scalable The skills to build holistically—from specs and documentation to implementation, testing, deployment, and measuring impact Ability to work well cross-functionally and earn trust from colleagues at all levels Experience mentoring and growing junior engineers as their technical leader Preferred qualifications Fellow engineers feel they are able to learn from you, and you care deeply about mentoring others Propensity to ask questions, assume good intentions, and default to transparency You are often cited as the inspiration for engineers who join your team You've worked to build pricing tooling that scales
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Revenue and Financial Automation Sub-org within Revenue and Financial Automation: Billing. The Revenue and Financial Automation team at Stripe builds software tools that accelerate the economic and technological growth of global businesses by helping them operationalize their commercial relationships with customers. Our offerings include a billing platform, SaaS analytics, data services, and finance automation products that our customers creatively combine to support various revenue models. Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here. What you'll do We're looking for engineers who want to build the distributed systems, APIs, and backend services that power Stripe's revenue and billing platform. You'll focus on API design and performance, service reliability, and distributed systems challenges, while collaborating across the stack to ship complete solutions for millions of businesses. Responsibilities Scope, architect, and lead technical projects to build and scale distributed backend systems and APIs Design, build, and maintain reliable, high-performance APIs and backend services Own service reliability, including setting performance targets and driving improvements across the stack Debug production issues across distributed services and multiple levels of the stack Make effective tradeoffs that consider business priorities, system performance, and a sustainable technical foundation Teach and mentor engineers to grow into the next generation of leaders at Stripe Partner with engineers and product managers across infrastructure and product teams to deliver well-integrated platform services Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 5+ years of industry software engineering experience (does not include internships or co-ops) Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic) Strong collaboration skills, can work across workstreams within your team and contribute to your peers' success Direct project leadership and mentorship experience. Ability to thrive with a high level of autonomy and responsibility, with an entrepreneurial mindset. Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users Preferred qualifications Familiarity with event-driven architectures Experience with subscription management, usage-based billing, or financial reporting systems Interest in financial infrastructure and how businesses manage their revenue operations
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's Developer & End-user Experience Platform (DEEP) organization empowers all of Stripe's products with a shared product platform that helps with rapidly delivering high-quality, cross-product experiences across our UI and API surfaces. It focuses on providing a consistent and scalable developer experience that any developer (both internal and external) can leverage to accelerate a merchant's ability to create value using Stripe. Team matching — exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you’ll do We're looking for full-stack engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they're an end user, developer, or partner. Responsibilities Ensure our platforms are reliable, scalable, secure, and extensible Shape future-proof interfaces that are easy to build with Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Help drive sound technical decision-making and lead technical conversations with other teams across Stripe Debug production issues across services and various levels of the tech stack Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 2–12+ years of industry software engineering experience (does not include internships or co-ops) Strong coding skills in any programming language (you can learn new languages on the job, and our interview process is language agnostic) Strong collaboration skills and the ability to work across workstreams within your team and contribute to your peers' success Ability to thrive on a high level of autonomy and responsibility, with an entrepreneurial mindset Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Growth team is on a mission to acquire, convert, and grow millions of merchants globally across the full Stripe suite of financial products. We're a cross-functional team of engineers, scientists, marketers, designers, and product managers that deliver the insights, algorithms, internal systems and tools, and user-facing experiences that fuel our growth. We help businesses around the world find Stripe, get started, and grow. As part of the Growth Engineering team, you'll build the systems, products, internal tools, and customer-facing experiences that power intelligence behind our go-to-market and product-led growth. This includes building ML-powered recommendations and growth experimentation engines, multi-channel notification systems, and key growth-related customer experiences (e.g., onboarding flows, user dashboards, product recommendations). What you'll do As a full-stack engineer on the Growth team, you'll build and ship experiments and product improvements across stripe.com and the Dashboard to help businesses find and get started on Stripe. You'll work on critical parts of the funnel for self-serve users, ensuring their experience on Stripe is consistently high-quality. With other engineers and data scientists, you'll turn ML-powered recommendations, messaging, and experimentation into impact that moves company metrics. Responsibilities Build and maintain scalable systems and customer experiences that help businesses discover, onboard, and grow with Stripe products. Develop high-quality, robust backend APIs in Ruby that power responsive frontend experiences using React, JavaScript, and CSS. Implement and iterate on ML-driven recommendations, experimentation frameworks, and growth optimization features. Work with data scientists and product managers to translate growth hypotheses into technical implementations and A/B tests. Contribute to shared platforms and tools that enable rapid experimentation across growth initiatives. Debug production issues across the full stack and participate in on-call rotations. Write maintainable, well-tested code that follows team conventions and best practices. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 2+ years of industry software engineering experience with strong coding skills in any programming language (we understand new languages can be learned on the job, so our interview process is language agnostic) Experience delivering small projects independently and contributing to medium projects with guidance Strong collaboration skills, with the ability to work across work streams within your team and contribute to your peers' success Ability to thrive with a high level of autonomy and responsibility, and an entrepreneurial mindset Deep care for users' needs and the ability to be a steward of great user experiences Preferred qualifications Experience with machine learning, recommender systems, product-led growth, or lifecycle marketing Familiarity with basic analysis in large datasets (especially in systems like Redshift, Presto, or Trino) Experience incorporating observability into production systems and supporting their operation (on-call, incident response)
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe's Enterprise and Ecosystem team is focused on enhancing migration, activation, and cross-product experiences for enterprises. This position will be integral to a growing team, collaborating closely with product and customer-facing teams. Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you’ll do As a Full-Stack Engineer on the Enterprise and Ecosystem team, you will be a key contributor in building and scaling the next generation of Stripe's connectivity with global commerce systems. This role is crucial to building and managing integrations with leading Ecommerce, CRM, and ERP systems to help our users activate faster and realize greater value from Stripe. You will focus on developing the infrastructure that powers unified connectors for various partners, ensuring seamless and rapid integration of Stripe's products. Responsibilities Developing and maintaining a set of connectors and integrations for partners like Shopify, and Salesforce. Build out Stripe services and infrastructure to facilitate transactional flows and data migration. Launching specific, high-impact projects in the first six months, such as a new payments-agnostic billing connector. Acting as a self-starter and driving technical ownership for projects, given the nature of the role requires a highly self-sufficient contributor. Collaborating with other engineering teams, particularly those focused on underlying infrastructure, to ensure cohesion and scale. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 2+ years of industry software engineering experience (does not include internships nor includes co-ops) Strong full-stack capabilities; comfortable writing code on core Stripe systems while also understanding external partner systems. Proficient in a modern web stack and have shipped production level code. Foundational understanding and ability to read the code/interfaces of partner systems (e.g., Salesforce, Oracle, Netsuite) to facilitate complex integrations. Adaptable, intuitive, and capable of quickly solving complex, multi-system problems. Self-motivating and thrive in an environment where you are expected to take full ownership of your projects and deliverables. Preferred qualifications Prior experience building connectors, or deep integrations with major Ecommerce, CRM, or ERP platforms. Experience with payments or subscriptions systems. A background that demonstrates an ability to rapidly learn new systems and navigate unfamiliar technical domains effectively. If you are passionate about building cutting-edge solutions that empower businesses worldwide, we would love to hear from you! Please submit your application detailing your experience and why you believe you would be a great fit for the team.
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Large, complex businesses on Stripe have historically had to create a new Stripe account for each global entity or business unit—making it difficult to unify reporting and manage payment operations across all accounts. Our customers want a way to manage these accounts under one umbrella so they can operate at scale more efficiently. We are responsible for building Organizations, which allows merchants to effectively and centrally manage their businesses across multiple Stripe accounts. As Stripe continues to grow its suite of product offerings beyond payments, Organizations will unlock a new phase of growth for Stripe. We will do this by enabling our platforms and businesses to model their complex businesses and distribute all of Stripe’s products to their end users. You can read more about what we are working on here (our Stripe Blog). What you’ll do As a leader on the User Auth Experience team, you will help shape the team’s vision and roadmap, guide and mentor your peers, and lead by example. Authentication, Login, and general Account Security experiences are deeply cross-cutting areas at Stripe with critical security, safety, and quality considerations. You will work with many partner teams: peer engineering organizations to build robust/reusable/standardized access controls, as well as non-engineer groups to shape the security, beauty, and usability of the end-to-end journey of Stripe account authentication. You’ll play a major role in Stripe’s defense strategy, keeping users and data protected from fraudulent activity through intelligently assessing risk and refining user workflows accordingly. As an engineer on the team, you’ll directly build well-tested APIs, UX/UI pieces, and analytics engines for defining and measuring the full-stack Dashboard authentication story, elevating the experience for every end user. By creating and expanding these account management “building blocks”, you’ll build out a generalized authentication platform that can be leveraged to bring best-in-class usability and security to multiple Stripe-owned surfaces—multiplying the efforts of product teams to more quickly and confidently build safe, controlled features. Responsibilities Build beautiful web experiences and secure full-stack authentication machinery that impacts millions of users Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Drive sound technical decision-making and lead technical conversations with other teams across Stripe Shape your team’s culture, roadmap, and vision through your guidance, mentorship, foresight, and technical and social expertise. As a leader within Engineering, assist with growth and development of your team and organization while maintaining a high bar for excellence and technical curiosity Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 8+ years of experience in full-time software development roles Experience as a technical lead by guiding your team, influencing its roadmap, and overseeing complex projects spanning multiple teams Experience in both frontend and backend, with strong ability to work as a generalist across the stack Thrive in a collaborative environment with other teams to identify high-impact ways of solving problems quickly Excellent oral and written communication Preferred qualifications You strive for simple solutions and designs over complex ones, and have a good intuition for what will last and scale well Expertise working at the intersection of security and authentication systems, with the ability to drive partnerships with our Security and Fraud partner teams. Strong understanding of IAM concepts, including Single Sign-On (SSO), Multi-Factor Authentication (MFA), Role-Based Access Control (RBAC), and identity governance. Experience building scalable, resilient, and observable systems while understanding UX best practices for the frontend You can put yourself in the shoes of your users to understand their needs and fit that into the bigger picture You stitch together many different services and processes, even if you have not worked with them before Experience with building software for fellow developers
About the Team The Product Explorations team is a small, high-ownership product exploration group focused on turning new model capabilities into impactful user experiences. We operate across Applied and Research, working closely with product, engineering, design, and research partners to identify promising opportunities, prototype quickly, validate ideas, and determine which efforts should scale into larger product investments. Our objective is broad: discover and build experiences that can meaningfully improve user engagement, product impact, and revenue across OpenAI’s products. We move quickly, follow strong product signals, and take ideas from early exploration to meaningful user impact. About the Role We are looking for product-minded full stack engineers to join the Product Explorations team and drive high-impact, net-new product explorations. In this role, you will independently identify promising opportunities, move quickly from idea to prototype, and work across teams to validate and launch new experiences. You will operate with a high degree of autonomy, use strong product intuition, and make thoughtful decisions in ambiguous environments. You may work on a new ChatGPT experience one week, explore a new model capability the next, and partner with Research or Applied teams to turn the strongest ideas into scalable products. This role is a strong fit for someone who enjoys building from scratch, iterating quickly, and working on projects where the path forward is not always obvious. In this role, you will: Identify and pursue high-leverage product and technical opportunities across OpenAI’s products Move quickly from idea to prototype, validation, launch, and iteration Build full stack product experiences that unlock value from new model capabilities Work closely with Research, Applied, product, design, data science, and engineering partners Use user feedback, product signals, and experimentation to determine which ideas should scale Drive alignment across teams and helping shape a culture of speed, ownership, curiosity, and thoughtful experimentation You might thrive in this role if you: Have experience building and shipping full stack product experiences, from early prototypes through production Thrive in early-stage, highly iterative environments and can move quickly from idea to execution with limited structure Bring strong product intuition and an ability to identify what matters most for users and the business Communicate clearly and collaborate effectively across engineering, product, design, and research Bring a high degree of autonomy, agency, and ownership in ambiguous environments Want to work at the intersection of model capabilities, product development, and user impact Location: This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. 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 We are building the Defense Factory to help enterprises find and fix security vulnerabilities with AI. We build infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to investigate security findings, carry out approved actions, and verify results. Our focus is turning AI capabilities into reliable security outcomes, starting with finding and fixing vulnerabilities and expanding into investigation, detection, and response. That means solving challenging problems in cloud environments, orchestration, security, and collaboration, while making the experience straightforward for the people directing and reviewing the work. We’re a team that values initiative, close relationships with customers, and exceptional engineering craft. We take ownership, learn quickly, and communicate directly and kindly. About the Role We’re hiring backend-focused Product Engineers across our platform and security product teams. You’ll build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel. You’ll work primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You’ll own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers. In this role, you will: Work directly with customers to build developer and security workflows, from getting a project running to investigating findings, reviewing agent-generated changes, and verifying fixes. Build Go services and APIs for provisioning cloud environments, running agents in customer infrastructure, and integrating with source control, CI, and other developer tools. Design reliable orchestration for long-running, parallel work, including durable state, retries, cancellation, and recovery. Build security into execution workflows through clear permissions, credential handling, isolation, and auditability. Own production quality: testing, safe rollouts, observability, performance, and operational reliability. Partner with frontend and design colleagues to make complex backend capabilities straightforward to use. You might thrive in this role if you: Have strong Go skills and experience building and operating production backend systems. Understand distributed systems, concurrency, and state, and can reason about failures and recovery. Have practical experience with Linux, containers, cloud infrastructure, and networking, including routing, DNS, and secure connectivity. Can design clear APIs and data models that simplify complex workflows. Are product-minded and want to stay close to customers, understand their needs, and own solutions from problem discovery through launch and iteration. Communicate technical decisions clearly and work effectively across disciplines and locations. Experience building on AWS, GCP, or Azure is a plus. Depth in one or more of developer platforms, workflow engines, Kubernetes, networking, sandboxing, identity systems, security products, or AI-agent workflows would be useful; we don’t expect expertise across all of them. Frontend experience is welcome but not required. 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 Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Full-Stack Software Engineer in RL, you'll build the platforms, tools, and interfaces that power environment creation, data collection, and training observability. The quality of Claude's next generation depends on the quality of the data we train it on — and the systems you build are what make that data possible. You'll own product surfaces end-to-end — from backend services and APIs to the web UIs that researchers, external vendors, and thousands of data labelers use every day. You don't need a background in ML research. What matters is that you can take an ambiguous, high-stakes problem and ship a polished, reliable product against it, fast. This team moves very quickly. Claude writes a lot of the code we commit, which means the bottleneck isn't typing — it's judgment, taste, and the ability to react to what researchers need next. You'll iterate on data collection strategies to distill the knowledge of thousands of human experts around the world into our models, and you'll do it in a loop that closes in hours and days, not quarters or months. Anthropic's Reinforcement Learning organization leads the research and development that trains Claude to be capable, reliable, and safe. We've contributed to every Claude model, with significant impact on the autonomy and coding capabilities of our most advanced models. Our work spans teaching models to use computers effectively, advancing code generation through RL, pioneering fundamental RL research for large language models, and building the scalable training methodologies behind our frontier production models. The RL org is organized around four goals: solving the science of long-horizon tasks and continual learning, scaling RL data and environments to be comprehensive and diverse, automating software engineering end-to-end, and training the frontier production model. Our engineering teams build the environments, evaluation systems, data pipelines, and tooling that make all of this possible — from realistic agentic training environments and scalable code data generation to human data collection platforms and production training operations. What You'll Do Build and extend web platforms for RL environment creation, management, and quality review — including environment configuration, versioning, and validation workflows Develop vendor-facing interfaces and tooling that let external partners create, submit, and iterate on training environments with minimal friction Design and implement platforms for human data collection at scale, including labeling workflows, quality assurance systems, and feedback mechanisms that surface reward signal integrity issues early Build evaluation dashboards and observability UIs that give researchers real-time insight into environment quality, training run health, and reward hacking Create backend services and APIs that connect environment authoring tools, data collection systems, and RL training infrastructure Build and expand scalable code data generation pipelines, producing diverse programming tasks with robust reward signals across languages and difficulty levels Develop onboarding automation and documentation tooling so new vendors and internal users ramp up in hours, not weeks Partner closely with RL researchers, data operations, and vendor management to translate ambiguous requirements into well-scoped, well-designed products You May Be a Good Fit If You Have strong software engineering fundamentals and real full-stack range — you're comfortable owning a surface from database schema to frontend Are proficient in Python and a modern web stack (React, TypeScript, or similar) Have a track record of shipping systems that solved a hard problem , not just shipped on time — e.g. you built the thing that made your team 10x faster, or the internal tool nobody thought was possible Operate with high agency: you identify what needs to be done and drive it forward without waiting for a ticket Have found yourself wondering "why isn't this moving faster?" in previous roles — and then have done something about it Care about UX and can build interfaces that are intuitive for both technical researchers and non-technical labelers Communicate clearly with researchers, operations teams, and engineers, and can turn vague asks into well-scoped work Thrive in a fast-moving environment where priorities shift, Claude is your pair programmer, and the next problem is often one nobody has solved before Care about Anthropic's mission to build safe, beneficial AI and want your work to contribute directly to it Strong Candidates May Also Have Built data collection, labeling, or annotation platforms — ideally ones that had to scale across many vendors or many task types Background building multi-tenant platforms with role-based access, audit trails, and vendor management workflows Experience with cloud infrastructure (GCP or AWS), Docker, and CI/CD pipelines Familiarity with LLM training, fine-tuning, or evaluation workflows Experience with async Python (Trio, asyncio) or high-throughput API design Background in dashboards, monitoring, or observability tooling Experience working directly with external vendors or partners on technical integrations A background that isn't a straight line — e.g. math or physics into SWE, competitive programming, research into engineering, or a side project that outgrew its scope Representative Projects Building a unified platform for human data collection that integrates labeling workflows, vendor management, and QA for complex agentic tasks Developing vendor onboarding automation that handles Docker registry access, API token management, and environment validation Creating evaluation and observability dashboards that catch reward hacks, measure environment difficulty, and give real-time feedback during production training Building environment quality review workflows that let researchers browse, grade, and provide feedback on training environments Developing automated environment quality pipelines that validate correctness and difficulty calibration before environments hit production training Building internal tools for browsing and analyzing training run results, environment statistics, and data collection progress The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.