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Staff Software Engineer, Dashboard Product
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 Dashboard Product team is committed to providing world-class user experiences for Stripe merchants. We focus on perfecting the Dashboard Stripe’s main interface for merchants - by infusing meticulous attention to detail and craft. We take immense pride in our work and deeply care about the quality of the products we deliver. We’re dedicated to building a team with an acute focus on detail, nurturing a level of craftsmanship that makes us proud to share our work with the world. We serve two core user groups. First, is real merchants using the Dashboard. We own the most critical, first-touch surfaces, such as the homepage, which we drive to set the benchmark for intuitive, reliable software. This work directly informs our second set of users, internal product teams. We distill our front-line insights into shared components and paradigms, empowering the entire organization to build a consistent, holistic Dashboard experience. We're a mentorship-forward team where staff engineers work directly alongside early-career engineers to raise the quality bar across everything we ship. We're also actively exploring how AI agents can unlock new creative possibilities for how merchants interact with their products, and we're excited to bring that same spirit of invention to the frontend craft. What you'll do As a Frontend Engineer on the Dashboard Product team, you’ll collaborate with skilled designers and engineers to drive UX excellence in the Stripe Dashboard. You’ll craft experiences that simplify complex tasks for merchants, ensuring high performance, seamless information architecture, and intuitive discoverability. You’ll work on inventing new paradigms and elevating existing ones, with an eye toward broader use cases on the Dashboard. Working closely with designers and cross-functional groups, you’ll craft experiences that help merchants understand their business and execute essential tasks with surprising levels of ease and delight. You’ll also mentor early-career engineers to raise our collective quality bar, all while exploring how emerging AI agents can unlock new, creative ways for merchants to interact with their business. Responsibilities Own the frontend quality, consistency, and visual craft of the Stripe Dashboard's highest-traffic pages, with particular focus on core logged-in surfaces Identify and execute opportunities to improve consistency, performance, and polish across the Dashboard Partner closely with Design and Product,, serving as the technical voice on frontend feasibility, quality standards, and implementation approach Contribute to and advocate for the Stripe design system, ensuring components and patterns work well across the Dashboard and other product surfaces Establish frontend quality standards for the team, including patterns, code review practices, and implementation guidance for junior engineers Prototype and explore AI-powered experiences that change how merchants discover and interact with Stripe products Collaborate with backend engineers on integration points while keeping frontend craft as your core focus 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 This is a Staff-level role - that typically means 10+ years of experience building and shipping complex, user-facing web applications at large scale Deep expertise in modern frontend development, with strong opinions on UI quality and the ability to execute to a high level of visual precision Track record of driving measurable improvements to UI consistency and polish across large, distributed products Experience working closely with Design teams and translating design intent into high-quality production implementation Demonstrated ability to work across a large codebase and bring coherence to high-traffic product surfaces Preferred qualifications Passion for crafting beautiful experiences on the web, demonstrated through a design portfolio and frontend code showcasing engaging microsites, Figma plugins, creative code, design systems, or other similar endeavors Familiarity with frontend performance engineering, including profiling, instrumentation, and optimization Interest in AI-driven user experiences, with experience prototyping or shipping AI-powered features Experience mentoring early-career engineers and contributing to team-wide quality standards Comfort working across the full stack when needed, with a clear preference and passion for frontend craft Advanced proficiency with React, with an emphasis on interactions, animation, performance, and refinement Experience with A/B testing, synthetic monitoring, or accessibility testing
Staff Software Engineer, Deployment Platform
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 Core Change Management group is responsible for the systems that let every Stripe engineer ship code, configuration, and infrastructure changes safely and at high velocity. You will be embedded primarily on the Service Deployments team — the owners of Stripe's end-to-end code deployment platform — with regular collaboration with the Resource Automation and Feature Deployments teams. What Makes This Role Compelling You own the foundation of how Stripe ships software. The deployment platform sits in the critical path of every engineer's workflow at Stripe. The decisions you make affect thousands of deploys per day across hundreds of services, directly determining how fast and safely Stripe's product evolves. Technically rich, architecturally active. The team is executing several concurrent platform transformations: containerizing host-based services at scale, adding intelligent multi-service deploy pipelines, extending real-time anomaly detection to earlier stages of traffic shifts, and rebuilding deployment event infrastructure on top of a durable message bus. This is not maintenance work — the architecture is in motion. Broad surface area, real ownership. You will span the full stack from container scheduling and deployment orchestration business logic to the developer-facing internal platform UI. The problems are multi-layered: reliability, developer experience, performance, and safety all at once. Your judgment prevents incidents. The team's explicit goal is to drive down change-related incidents across Stripe by building better detection, smarter pipelines, and safer defaults. Your technical decisions have a direct and measurable safety impact on Stripe's reliability. Agency to shape technical strategy. As a Staff engineer on Service Deployments, you will set technical direction for the team's systems, author designs that span multiple teams, and be the person engineering managers and engineers turn to for the hardest deployment infrastructure questions. Responsibilities Own end-to-end technical delivery of large, ambiguous infrastructure projects — from initial design through production launch and long-term reliability. Author the design, sequence the work, unblock the team, and shepherd projects to landed impact. Architect the next generation of Stripe's deployment platform. Lead technical design of the deployment orchestrator's evolution — including multi-service dependency-aware autodeploy pipelines, Kubernetes-native deployment primitives, and fleetwide container migration — defining the API contracts, rollout strategies, and operational model that hundreds of teams depend on. Extend deploy anomaly detection. Evolve blue-green traffic analysis: extend coverage to earlier traffic-split stages, design API/method-based regression detection, and build a self-service onboarding system that makes anomaly detection the default for all supported service types. Own reliability and operational excellence for the deployment platform. Lead incident response; systematically reduce operational toil; and make reliability, security, and maintainability first-class properties of the systems you own. Build deployment event infrastructure. Own the deployment notification and event-publishing architecture — designing the event schema, durability model, and integration contracts that downstream systems rely on for observability and automation. Collaborate across Core Change Management. Partner with Resource Automation on projects that span deployment orchestration and cloud resource management (IAM, account provisioning, infrastructure automation), with Feature Deployments on change-safety tooling (feature flags, configuration management, change audit logs) that integrates with or depends on the deployment pipeline, and with the service mesh team on routing capabilities that enable advanced deployment patterns such as canary rollouts and merchant-priority traffic shaping. Set the technical bar. Own critical design reviews, establish standards for deployment safety and developer experience, mentor senior engineers through high-stakes architectural decisions, and advocate for the right abstractions — code that consuming teams can adopt without becoming deployment infrastructure experts. Decompose complexity for the team. Translate large, open-ended platform challenges into scoped, parallelizable work; help engineers grow by framing problems clearly and providing decisive technical guidance on the hardest questions. Who You Are Minimum Requirements 10+ years of professional software engineering experience , with a demonstrated track record of designing and shipping production infrastructure systems of significant scale and complexity. Proven ability to lead large, ambiguous infrastructure projects end-to-end — from technical design through delivery — including managing cross-team dependencies and coordinating migrations across many consuming teams. Deep expertise in distributed systems and deployment orchestration : strong foundations in how services are built, scheduled, and operated at scale, including rollout strategies, staged delivery, and failure modes. Hands-on experience with Kubernetes and container-based deployments , including service lifecycle management, workload scheduling, and the operational challenges of migrating large fleets from VM-based to containerized infrastructure. Strong background in service reliability and operational excellence : demonstrated ability to lead incident response, reduce toil, and build systems that are reliable, debuggable, and maintainable by a team. Track record of broad technical impact across multiple large systems : fluency across a complex codebase, force-multiplier effect through code review and mentorship, and the ability to set technical direction for a team rather than just execute within it. Preferred Requirements Background in deployment safety systems : anomaly detection, automated rollback, progressive delivery, or similar mechanisms that reduce the blast radius of bad deployments. Familiarity with event-driven architectures (Kafka or equivalent) applied to deployment lifecycle observability and notification. Experience with Infrastructure as Code at scale — Terraform or equivalent — particularly in the context of cloud resource governance and IAM management in AWS or Azure. Developer platform or internal tooling background : a strong developer experience sensibility and the ability to build abstractions that reduce toil for the engineering teams that depend on your platform. Change management and feature rollout systems : experience with feature flags, configuration distribution, or audit-log infrastructure that provides safety guardrails around production changes. Familiarity with service mesh concepts (canary deployments, weighted routing, traffic-splitting) sufficient to collaborate effectively with partner teams on routing capabilities that enable advanced deployment patterns. In-Office Expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
Staff Software Engineer, Financial Crimes
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 Risk Engineering builds the systems that protect Stripe from fraud, credit losses, and regulatory risk across user onboarding, compliance, financial crimes, and identity verification. Financial Crimes Engineering builds the systems and controls that let Stripe safely onboard businesses in emerging and regulated industries while keeping Stripe in compliance with sanctions law, anti-money-laundering rules, and financial partner requirements. We keep known bad actors off Stripe, find new through ongoing detection, and build AI-augmented tooling that helps expert reviewers resolve cases quickly and accurately. We operate at scale, screening every user, enforcing jurisdictional restrictions across money movement in real time, and automating signal acquisition and synthesis into investigation workflows. We're now re-architecting our screening platform to make it safe and easy for new Stripe products to launch with the right financial crimes controls, to express richer policy as code, and to serve as a multi-tenant Risk Platform offering across Stripe's products and subsidiaries. What you'll do As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening latency with accuracy, build the systems that surface emerging risk and collect information to resolve it, and ensure investigators have the tooling they need. You'll work across distributed systems and policy logic, partnering with ML, Legal, and Compliance to translate regulation into working software. Responsibilities Define technical strategy & vision: Establish the multi-year architecture for Stripe’s real-time entity matching infrastructure, policy enforcement engines, and reviewer tooling Architect high-scale systems: Design and optimize distributed screening engines and detection pipelines handling entity- and transaction-level requests at scale with strict SLA and uptime guarantees. Build investigations infrastructure: Design the systems that surface suspicious activity, collect additional information from users, route cases to reviewers, and augment human judgment with AI to drive faster, more accurate case resolution. Drive cross-functional technical alignment: Serve as the primary technical voice with Legal, Compliance, ML, and Product leaders to translate evolving global regulatory requirements into technical ones. Enable Risk as a Service: Lead the architectural evolution toward a multi-tenant screening platform - laying the technical foundation for both internal product launches and external developer-facing APIs. Raise the engineering bar: Set standards for system design, API consistency, and operational rigor across backend and ML-adjacent systems; mentor senior engineers and lead high-stakes design reviews. Ensure operational excellence: Own system reliability, observability, and latency, ensuring production systems adapt quickly to sudden changes in global sanctions lists or traffic spikes, and participate in an on-call rotation for these systems. 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 10+ years of software engineering experience, including 5+ years in a strategic technical leadership role on core infrastructure, distributed systems, or platform engineering. Proven experience designing, building, and operating high-throughput, low-latency APIs and distributed backend systems at scale. Track record of defining technical roadmaps and driving alignment across multiple engineering teams and cross-functional domains. Hands-on technical depth - comfortable jumping from high-level system architecture down to code-level performance tuning and production debugging. Exceptional written and verbal communication skills, with a track record of articulating technical decisions to non-technical stakeholders. Preferred qualifications Domain experience in financial crimes, sanctions screening, AML (Anti-Money Laundering), entity resolution, or high-stakes trust & safety platforms. Familiarity with applying LLMs or ML to operational workflows (e.g., case triage, entity resolution, review automation), or experience with fuzzy string matching and NLP for entity matching. Experience building investigator/analyst tooling, case management systems, or human-in-the-loop review workflows. Experience building platform products or APIs consumed by both internal engineering teams and external developers (e.g., API backward compatibility, client libraries). Prior experience leading 0-1 platform builds or major architectural modernizations from concept to production. Tech stack experience across multi-language environments (e.g., Primarily Ruby and Java) and modern data infrastructure Comfortable navigating ambiguity and making high-judgment engineering calls in a fast-moving regulatory environment
Staff Software Engineer, Issuing
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 Issuing team owns the Stripe card issuing product end to end from the APIs and backend services that power spend cards, debit cards, and charge cards, to the dashboard and embedded components that businesses use to manage their card programs. We build the infrastructure and interfaces that let platforms and businesses instantly create, distribute, and control payment cards at scale, and we're responsible for the full cardholder lifecycle across commercial and consumer issuing. We're at an inflection point. Issuing is expanding into new geographies, new card categories (stablecoin, healthcare, consumer credit), and deeper partnerships with major platforms. This is a high-impact, high-visibility role at the intersection of financial infrastructure, developer-facing APIs, and end-user product experience, and it requires someone who can lead technically across a complex, fast-moving domain. What you'll do Define and drive the technical strategy for Issuing, including multi-year architecture decisions across backend services, APIs, and user-facing surfaces. Own end-to-end technical solutions for critical systems, authorization flows, spending controls, cardholder management, and card program configuration, ensuring they are reliable, scalable, and operationally sound. Identify and lead infrastructure investments that unlock new issuing models, including geographic expansion, new card program types, and platform-level extensibility. Collaborate closely with product managers, design, and cross-functional partners across Issuing, Authorization, Clearing and Settlement, and Balances to drive cross-cutting initiatives from design through launch. Make principled build-vs-reuse decisions and produce clear technical roadmaps that balance near-term delivery with long-term platform health. Advise engineering and product leadership on technical trade-offs and their downstream implications for the business. Drive engineering standards, tooling improvements, and operational rigor across the team. Mentor and grow senior engineers, investing in their technical development and helping build the next generation of technical leaders on the team. Responsibilities Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests. 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 10+ years of industry software engineering experience, with demonstrated impact at a staff or equivalent scope (leading initiatives across multiple teams or systems). Proven track record designing and shipping large-scale user-facing products with distributed backend systems that are both highly available and financially correct. Experience leading cross-functional engineering projects end-to-end — from requirements through architecture, delivery, and post-launch iteration. Strong API design instincts and the ability to build simple, developer-friendly interfaces over inherently complex financial and regulatory requirements. Ability to influence technical direction and align multiple teams without direct authority, with excellent written and verbal communication across engineers, product, and leadership. High ownership mindset—comfortable with ambiguity, able to define the problem and the plan, not just execute a predefined spec. Clear, precise communication on complex technical topics for both technical and non-technical audiences. Preferred qualifications Experience building or operating real-time transaction processing systems with strict latency and correctness requirements (authorizations, payments, ledgering, settlement). Familiarity with card network protocols, BIN sponsorship models, or issuing bank integrations (Visa, Mastercard, or equivalent). Experience in regulated financial services—compliance-aware system design, audit trails, financial controls, or KYC or KYB flows. Background in embedded finance, card-as-a-service, or Banking-as-a-Service platforms. Experience with high-volume event-driven architectures and the reliability and consistency tradeoffs they introduce. Track record of mentoring senior engineers and contributing meaningfully to engineering hiring and culture.
Staff Software Engineer, Link
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 Link helps Stripe's merchants deliver frictionless and secure checkout experiences by auto-filling customers' payment information, letting customers check out in seconds and pay in one click across the Link merchant network. The Link Balance team is building on top of that network to transform Link from a one-click checkout into a global consumer financial platform. Link Balance lets consumers hold, spend, earn rewards on, and off-ramp digital dollars—stored as stablecoins, powered by Bridge and Privy, and distributed through Stripe's network of hundreds of millions of consumers. We're bringing the borderless, programmable, and instant utility of digital dollars into everyday use. What you'll do We’re hiring a Staff Software Engineer to lead the design and delivery of new money-movement capabilities in Link. You will take ambiguous product opportunities and turn them into reliable, scalable, and intuitive experiences for consumers and merchants. This is a hands-on individual-contributor role with broad technical and organizational scope. You will own large, cross-functional projects from early product and technical definition through launch and iteration; lead teams of engineers through complex execution; and partner closely with the many Stripe systems and teams that make money movement possible. You will work across the stack, building services and APIs as well as the user experiences that expose those capabilities. The work may involve modern financial infrastructure—including stablecoin-enabled capabilities—while requiring sound judgment around safety, reliability, compliance, and user trust. You will make the architectural decisions that let the balance model scale globally, and raise the engineering bar for the team as we grow. Responsibilities Lead the technical strategy, architecture, and execution for large, ambiguous Link initiatives that create new money-movement primitives. Own projects end to end: clarify the problem, define an incremental technical plan, align stakeholders, drive delivery, launch safely, and use results to guide further investment. Build robust, scalable backend services and high-quality consumer-facing experiences across Java, Ruby, and TypeScript. Lead a project team of engineers through execution, creating clarity on priorities, decisions, risks, and delivery milestones. Partner with Product, Design, Data Science, Risk, Infrastructure, and other Stripe teams to build capabilities that are safe, reliable, and useful. Navigate dependencies across Stripe’s payments and money-movement platforms, making thoughtful tradeoffs between speed, user experience, operational reliability, and durable technical foundations. Raise the engineering bar through technical leadership, design reviews, mentoring, and constructive feedback across the team. Help shape the team’s longer-term roadmap by identifying opportunities, technical risks, and investments needed to scale Link’s financial capabilities globally. 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 backend and/or full-stack software development experience, with a track record of owning large, ambiguous systems end-to-end. Demonstrated technical experience leading the design and delivery of large, complex software projects from early definition through production launch. Strong full-stack engineering skills, including experience building reliable backend services and polished user-facing product experiences. Experience leading and unblocking a group of engineers on a substantial project as a senior individual contributor. Ability to operate effectively in high-ambiguity environments: framing problems, making durable technical decisions, and creating an actionable path forward. Excellent cross-functional and cross-organizational collaboration skills, with the ability to align teams with different systems, priorities, and constraints. Strong engineering judgment around system reliability, operational excellence, security, and maintainability. A product-minded approach to engineering, with a focus on delivering meaningful outcomes for users and the business. Preferred qualifications Experience with Java, Ruby, and/or TypeScript. We care more about strong engineering fundamentals and the ability to learn than expertise in a particular language or framework. Experience building payments, money-movement, fintech, or other regulated financial products. Experience building consumer products at scale, particularly products that require a high degree of user trust. Experience working on 0→1 products or taking new capabilities from concept through launch and iteration. Familiarity with stablecoins, digital assets, or the infrastructure that enables global financial products. Appreciation for the importance of good documentation—internal and external—and taking pride in seeing projects through to successful completion
Staff Software Engineer, Machine Learning Platform
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 processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. What you'll do You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe. You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that powers Stripe's ML-driven products. Responsibilities Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform. Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy. Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration. Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical excellence with creative problem-solving. Scope and lead large projects with significant business impact, driving them from requirements through design, implementation, and production operation. Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and scalable technical solutions. Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security constraints. Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key technical considerations related to the end-to-end ML lifecycle. Drive cross-team technical initiatives that improve ML development velocity and MLOps maturity across the company. Mentor and grow other engineers. Serve as a role model for designing, implementing, and operating great software systems. 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 10+ years of professional software development experience, or equivalent domain expertise, with a solid background in service-oriented architecture and large-scale distributed systems. Track record of serving as a technical lead, with the ability to provide technical direction, lead multi-team initiatives, and mentor team members. Experience building and operating production ML platform in one or more areas such as model training, model serving, orchestration, or ML data systems, with requirements for performance, reliability, scalability, and cost efficiency. Strong product instincts and a deep understanding of the business context in which you operate. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to work cross-functionally, collaborating effectively with ML engineers, data scientists, software engineers, product managers, and business stakeholders. The ability to thrive on a high level of autonomy and responsibility, and comfort operating in ambiguous environments. Hands-on experience using AI tools to accelerate how you work. Preferred qualifications Experience building large-scale ML training, serving, or data infrastructure for machine learning use cases, such as distributed training, model inference, feature stores, real-time feature computation, and model registries. Experience with distributed ML training systems, accelerator-backed compute, training data pipelines, experiment tracking, and model evaluation. Experience rapidly developing prototypes and iterating based on user feedback. Experience training and shipping machine learning models to production to solve critical business problems. Familiarity with LLMs, LLM application frameworks, and agentic AI patterns (e.g., tool use, multi-agent orchestration, retrieval-augmented generation). Familiarity with cloud services (e.g., AWS) and cloud-based AI and ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI). Ability to synthesize ideas across the organization while setting a compelling technical vision. Comfortable working with geographically distributed teams. Passion for side projects, open source, or self-driven technical initiatives.
Staff Software Engineer, Machine Learning Platform
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 processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. What you'll do You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe. You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that powers Stripe's ML-driven products. Responsibilities Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform. Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy. Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration. Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical excellence with creative problem-solving. Scope and lead large projects with significant business impact, driving them from requirements through design, implementation, and production operation. Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and scalable technical solutions. Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security constraints. Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key technical considerations related to the end-to-end ML lifecycle. Drive cross-team technical initiatives that improve ML development velocity and MLOps maturity across the company. Mentor and grow other engineers. Serve as a role model for designing, implementing, and operating great software systems. 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 10+ years of professional software development experience, or equivalent domain expertise, with a solid background in service-oriented architecture and large-scale distributed systems. Track record of serving as a technical lead, with the ability to provide technical direction, lead multi-team initiatives, and mentor team members. Experience building and operating production ML platform in one or more areas such as model training, model serving, orchestration, or ML data systems, with requirements for performance, reliability, scalability, and cost efficiency. Strong product instincts and a deep understanding of the business context in which you operate. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to work cross-functionally, collaborating effectively with ML engineers, data scientists, software engineers, product managers, and business stakeholders. The ability to thrive on a high level of autonomy and responsibility, and comfort operating in ambiguous environments. Hands-on experience using AI tools to accelerate how you work. Preferred qualifications Experience building large-scale ML training, serving, or data infrastructure for machine learning use cases, such as distributed training, model inference, feature stores, real-time feature computation, and model registries. Experience with distributed ML training systems, accelerator-backed compute, training data pipelines, experiment tracking, and model evaluation. Experience rapidly developing prototypes and iterating based on user feedback. Experience training and shipping machine learning models to production to solve critical business problems. Familiarity with LLMs, LLM application frameworks, and agentic AI patterns (e.g., tool use, multi-agent orchestration, retrieval-augmented generation). Familiarity with cloud services (e.g., AWS) and cloud-based AI and ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI). Ability to synthesize ideas across the organization while setting a compelling technical vision. Comfortable working with geographically distributed teams. Passion for side projects, open source, or self-driven technical initiatives.
Staff Software Engineer, Payment Systems
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 Payment Intelligence is comprised of multiple product teams building AI-first solutions to some of our customers’ biggest challenges, including fraud/abuse ( Radar ), payment optimizations ( AuthBoost ), Disputes, Authentication, and merchant analytics. We’re a mix of machine engineering engineers and full-stack software engineers impacting ~every Stripe transaction, creating revenue opportunities for Stripe and our customers, and helping protect the broader ecosystem. We have the benefit and privilege of working on cutting edge technologies with incredible scale and reach while also working directly with our merchants every day to build the right products for their needs. What you'll do As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML teams and models. Responsibilities Define technical strategy for multiple experiences across the Payment Intelligence portfolio, with a focus on quality and performance Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality code at scale Partner with some of Stripe’s largest merchants to co-build the future of payment-centric intelligence Partner cross-functionally with product, design, and ML colleagues to ship the very best software possible Work across the stack - contributing to infrastructure and foundational systems, but also FE, API, and ML-adjacent work. Minimum requirements 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role Experience leading engineering team(s) working on Distributed systems, API design, and user facing products Proven track record of delivering pragmatic solutions that accelerate business growth Ability to drive projects at a high-level while also being hands on and contributing directly to technical solutions as necessary Effective communication skills and a proven ability to work cross-team, cross-org, and cross-functionally. Preferred qualifications Experience with payments systems and/or fraud detection Familiarity with ML systems in production: model serving, training pipelines, observability, and evaluation Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly Experience across a range of software languages and frameworks; our stack includes Java, Ruby, Python, TypeScript, Kafka, Flyte, Airflow, and Mongo. Experience navigating ambiguity in a fast-moving organization - you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge
Staff Software Engineer, Payments Intelligence
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 Payment Intelligence is comprised of multiple product teams building AI-first solutions to some of our customers’ biggest challenges, including fraud/abuse ( Radar ), payment optimizations ( AuthBoost ), Disputes, Authentication, and merchant analytics. We’re a mix of machine engineering engineers and full-stack software engineers impacting ~every Stripe transaction, creating revenue opportunities for Stripe and our customers, and helping protect the broader ecosystem. We have the benefit and privilege of working on cutting edge technologies with incredible scale and reach while also working directly with our merchants every day to build the right products for their needs. What you'll do As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML teams and models. Responsibilities Define technical strategy for multiple experiences across the Payment Intelligence portfolio, with a focus on quality and performance Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality code at scale Partner with some of Stripe’s largest merchants to co-build the future of payment-centric intelligence Partner cross-functionally with product, design, and ML colleagues to ship the very best software possible Work across the stack - contributing to infrastructure and foundational systems, but also FE, API, and ML-adjacent work. Minimum requirements 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role Experience leading engineering team(s) working on Distributed systems, API design, and user facing products Proven track record of delivering pragmatic solutions that accelerate business growth Ability to drive projects at a high-level while also being hands on and contributing directly to technical solutions as necessary Effective communication skills and a proven ability to work cross-team, cross-org, and cross-functionally. Preferred qualifications Experience with payments systems and/or fraud detection Familiarity with ML systems in production: model serving, training pipelines, observability, and evaluation Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly Experience across a range of software languages and frameworks; our stack includes Java, Ruby, Python, TypeScript, Kafka, Flyte, Airflow, and Mongo. Experience navigating ambiguity in a fast-moving organization - you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge
Strategy and Operations Lead, Deal Pricing
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 Deal Pricing is a dedicated global function that provides deal pricing expertise, financial insights, and deal support for negotiated users to Stripe's global Go-to-Market teams. We work to ensure deals create economic value for Stripe by establishing the deal commercial framework for a scaling sales organization, actively supporting large and strategic deals, and providing pricing insights and feedback to sales, finance, and product leaders. Deal Pricing frequently works with cross-functional business partners across Operations, Finance and Strategy, and Product. There is constant collaboration with Deal Pricing colleagues across all regions. Rather than pricing individual deals, this Strategy and Operations (S&O) role acts as a central engine behind the global deal pricing team. You’ll serve as a "Chief of Staff" function to Deal Pricing leadership—owning the global operating model, driving cross-functional process excellence, managing our strategic operating rhythm, and codifying our commercial knowledge so Stripe can scale its GTM velocity. What you’ll do Strategic planning and operating rhythm Drive strategy execution. Translate high-level annual goals into actionable quarterly OKRs, ensuring clear ownership and measurable progress. Manage the operating cadence. Facilitate the team’s operating rhythm (MBRs, QBRs, and leadership syncs) to drive accountability, surface risks, and unblock cross-functional dependencies. Strategic telemetry and insights. Collaborate with our tooling and analytics team to track functional performance, using data to inform pricing strategy, operational pivots, and executive decision-making. Commercial governance and friction management Optimize cross-functional SLAs. Act as the primary bridge between Sales velocity and risk-mitigation functions (Deal Strategy, Finance, Treasury). Define and enforce SLAs for deal pricing approvals to ensure global consistency. Resolve bottlenecks. Proactively identify process friction, working with partner ops teams to redesign playbooks and clarify decision-making boundaries. Knowledge infrastructure and sales enablement Codify the "Deal pricing playbook." Build and maintain a single source of truth for deal pricing frameworks, guidelines, and Standard Operating Procedures (SOPs), ensuring documentation is version-controlled and highly discoverable. Scale sales self-service. Partner with Sales Enablement to translate complex commercial policies into self-serve guides and playbooks, empowering Sales to execute simple deals independently. Process and AI architecture Systems roadmap. Act as a lead for our CRM and CPQ evolution, transforming manual, spreadsheet-based pricing into automated, scalable workflows. Deploy AI for efficiency. Proactively identify and implement AI and LLM solutions to accelerate operations—including automating documentation, summarizing legacy contract terms, and extracting data from unstructured sales communications. 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 Bachelor’s degree in Business Administration, Operations Management, Finance, Economics, Management, or a related field. 6–8+ years of experience in Business Operations (BizOps), Sales and Revenue Operations, Management Consulting, or a Chief of Staff role supporting a high-growth GTM team. Practical experience using generative AI tools (e.g., LLMs, advanced prompting techniques, AI-driven search/synthesis tools) to accelerate your work. While not a software engineer, you are “technically savvy.” You can navigate data structures and AI orchestration tools to build prototypes or initial solutions independently. Proven experience translating high-level corporate strategy into operational execution frameworks (OKRs, KPIs) Outstanding written communication skills. You must be able to write clear, structured, and highly professional playbooks and memos (critical for Stripe’s document-centric culture). A track record of mapping complex, cross-functional processes, identifying root causes of friction, and redesigning workflows to improve cycle times. Strong understanding of GTM tech stacks (Salesforce, CPQ, workflow automation) and how to write clear business requirement documents (BRDs) for technical teams. Preferred qualifications Experience in Fintech, Payments, or consumption-based (API) SaaS models. Direct experience building simple automation flows to optimize personal or team productivity.
Staff Software Engineer, Storage Abstractions
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 Storage Abstractions (STAX) team builds the software layer through which Stripe services access stored data. We own the database SDKs that hundreds of Ruby and Java services use to read and write data safely, reliably, and efficiently without needing to understand the underlying database, routing, or operational complexity. Our work creates leverage across Stripe: by providing stable interfaces and safeguards at the storage layer, we help teams build products with confidence while enabling Stripe’s data architecture to evolve. Alongside engineers, we are designing for AI agents as customers of this foundation, making storage capabilities discoverable, interoperable, and safe to use across languages and storage backends. What you’ll do As a Staff Software Engineer on STAX, you will set technical direction and lead multi-year initiatives at the intersection of developer infrastructure, data access, and AI. You will work hands-on with engineers across Stripe to make storage access simpler, safer, and more interoperable, while helping product and infrastructure teams evolve their systems without fleet-wide migrations. You will help turn Stripe’s AI strategy into practical developer infrastructure by treating AI agents as customers of the storage layer. This is an opportunity to build frameworks and interfaces that make complex storage operations discoverable, interoperable, and safe for both human developers and agentic workflows, while raising the quality bar for systems used throughout Stripe. Responsibilities Set technical direction for Stripe’s storage-access and lead high-impact initiatives from strategy through delivery Evolve storage abstractions so service teams can use consistent and reliable capabilities across languages, API versions, and storage backends Design stable interfaces and guardrails that improve data correctness, reliability, observability, and performance by default Treat AI agents as customers by building agent-accessible SDKs, frameworks, and developer workflows that enable safe, effective use of storage infrastructure Partner with senior leaders, engineers, product teams, and core infrastructure teams to solve cross-organizational data architecture challenges Mentor engineers and raise the bar for technical design, execution, and operational excellence across the team 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. Requirements This is a Staff-level role so we're looking for 12+ years of professional software engineering experience and 5+ years leading technical strategy and delivery for complex, cross-team engineering initiatives Experience leading engineering team(s) working on API design, SDKs, abstractions, frameworks, or client libraries (e.g., building internal or external developer products) Experience designing reliable distributed systems with a focus on data correctness, performance, and safe evolution of critical infrastructure Work designing developer infrastructure for AI or agentic workflows and helping define a technical direction for their use Demonstrated customer-centricity, with a track record of deeply understanding user needs and obsessing over delivering simple, reliable experiences for internal or external customers Hands-on experience building infrastructure and products for internal or external customers Proven track record of delivering pragmatic solutions that accelerate business growth Ability to adjust conversations from high-level discussions to detailed coding Thrives on a high level of autonomy and responsibility Clear and persuasive writing and in-person communication Strong problem-solving skills, critical thinking, determination, and a growth mindset Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to a high level of psychological safety for all team members and partners Proficient in at least one of the programming languages (Java, Ruby, Python) Preferred qualifications Experience with MongoDB or other large-scale storage systems, such as DynamoDB, Elasticsearch, RocksDB, or relational databases Experience guiding adoption of a shared developer platform across a large internal engineering organization Experience developing observability and operational tooling that helps platform users diagnose and resolve issues Experience in financial technology or another environment where data correctness and reliability are especially important Experience influencing product and organizational decisions with senior leaders and broad stakeholder groups Experience leading partially remote and distributed teams Experience managing rigorous incident response processes and on-call rotations We don't expect deep expertise in every dimension above, but genuine curiosity about any of the areas that are less familiar is important to us.
Support Operations, Privy
Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone What you’ll do As a Support Operations Associate at Privy, you will own the internal systems and workflows that keep our Developer Success team efficient, responsive, and focused. You’ll serve as air traffic control for support requests – triaging issues across our support stack (Pylon, Slack, HubSpot, and more), improving internal workflows, and maintaining CRM and support-data hygiene. You’ll partner closely with Account Management, Solutions Engineers, Forward Deployed Engineers, and Sales, while your day-to-day work will have impact across Privy, and Stripe as a whole. This is a high-leverage operations role where attention to detail, a systems mindset, and a bias for execution will make you critical to making our customers successful. Responsibilities Own triage and routing for inbound support tickets from both Privy developers and end users of Privy applications, ensuring issues are assigned, tracked, and resolved promptly and efficiently across the Developer Success team. Maintain data hygiene, consistency, and accuracy across our support stack, including Pylon, Slack, HubSpot, and other systems. Partner with cross-functional teams—including Sales, Engineering, and Product—to continuously improve the quality and efficiency of support processes. Create and maintain internal runbooks for ticket triage, escalations, and engineering-support handoffs. Identify operational gaps and implement scalable workflows that help the team respond to customers more effectively. 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 1–3 years of experience in support operations, customer experience, technical program management, or a related operational role. Highly organized and process-driven, with strong attention to detail and a bias toward action and ownership. Strong intuition for customer sentiment and urgency, with sound judgment about how to prioritize and escalate issues. Familiarity with customer-support tooling, such as Pylon, Zendesk, Intercom, or Jira, and communication platforms like Slack. Comfort working across systems and maintaining high-quality CRM data in tools such as HubSpot or Salesforce. Strong written and verbal communication skills, especially for issue tracking, coordination, and process documentation. A systems mindset and enthusiasm for building internal processes that scale with the business. Preferred qualifications Experience at a developer-tools or infrastructure company, or experience working closely with engineering and product teams. Experience working with APIs, coding with AI, or using AI to automate tasks and operational processes.