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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 We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI-driven Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative AI tools/platforms/services for data. What you’ll do We're looking for a person who could drive the Data Engineering Solutions team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. Responsibilities Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success Partner with our recruiting team to attract and hire top talent Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within 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. Minimum requirements This is a Staff-level role — that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs Thrive with high autonomy and responsibility in an ambiguous environment Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment Preferred qualifications Our stack is made up of Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud - experience with all or some of these tools is a huge plus Influencing open-source contributions is a huge plus Experience creating and maintaining data marts / warehouses to power business reporting needs Experience collaborating with Product, Go-To-Market, or Sales / Marketing teams Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide
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 We're experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We're experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team works closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data. What you'll do We're looking for a person who drives the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate is someone who has built data pipelines for large-scale volume, is deeply knowledgeable of Data Engineering tools including Airflow, Spark, Kafka, and Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. • Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success • Partner with our recruiting team to attract and hire top talent. • Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency • Develop strong subject matter expertise and manage the SLAs of data pipelines and full-stack web applications that support critical stakeholders • Collaborate with product managers and peers across the company to create and improve canonical datasets and data warehouses, use golden paths, and ensure Stripe employees and customers are using trustworthy data • Leverage AI, LLM, and Agents at scale to produce and analyze high-quality data on ambiguous problems • Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python, and many other big data technologies • Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion • Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within 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. Minimum requirements • 10+ years of engineering experience with 5+ years of hands-on experience building and operating data systems and pipelines, datasets and data warehouses, infrastructure, and leading small teams to deliver excellent solutions • A strong engineering background and passion for data • Prior experience with writing and debugging data pipelines using a distributed data framework (Spark, Hadoop, Trino, etc.) • An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep-rooted data quality issues • Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience • Strong customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use cases • Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs • Thrive with high autonomy and responsibility in an ambiguous environment • Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment Preferred qualifications • Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud, and experience influencing open-source contributions • Experience creating and maintaining Data Marts and Data Warehouses to power business reporting needs • Experience working with Product or Go-to-Market (GTM—Sales and Marketing) teams • Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions • Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide stakeholders
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 Datalake team builds and maintains Stripe's foundational data access and governance infrastructure — the paved path for safe, fast, and compliant access to Stripe's critical big data assets. We serve developers, data engineers, analysts, ML and AI teams, security teams, and business users across the company. The team is in the middle of a significant architectural transition as Stripe grows. We are making Stripe's data lake a first-class citizen of the modern data ecosystem to support our growing scale and diverse workloads. What Makes This Role Compelling Foundational infrastructure with broad reach: The Datalake team's systems sit in the critical path of nearly every data workload at Stripe. Decisions affect petabytes of data, hundreds of production pipelines, and every engineering team that builds on Stripe's data lake. Active, high-stakes architectural transformation: The team is executing a multi-year migration to modern, OSS-aligned solutions — a technically deep project with real architectural choices at each step, including API design, compute engine integration, authorization model, and per-table credential vending. Active, high-stakes, OSS-aligned architectural transformation: You will lead a multi-year migration to modern, open-source solutions like the Apache Iceberg REST Catalog. This is a technically deep project involving critical architectural choices at each step, from API design and compute engine integration to authorization models, where your opinions and technical influence will directly shape how the platform engages with the broader data infrastructure ecosystem. Storage platform ownership with room to define the approach: The team owns the object storage abstraction layer — access control, IAM policy design, lifecycle management, and compliance architecture — but the how is still being written. You'll shape how hundreds of engineering teams interact with petabytes of data, and the decisions you make will stick. At Stripe you’ll have the scale of the large company and the agency to influence technical strategy and the roadmap Responsibilities Architect the unified Iceberg platform: Lead the technical design of a metastore service as it becomes the single source of truth for Iceberg table management across all compute engines — Spark, Trino, Flink, and PyIceberg. Define the API contracts, authorization model, per-table credential vending, and integration patterns that every data pipeline at the company will depend on. Own the metastore migration strategy: Drive the sequencing, backward compatibility story, rollback approach, and cross-team coordination for migrating all remaining Hive Metastore-backed workloads to the new platform. This means coordinating with dozens of consuming teams while keeping production data infrastructure operational at all times. Shape the object storage abstraction: Define the storage abstraction layer — including bucket provisioning, access control policy design, and the developer-facing client libraries that make object storage ergonomic and secure by default. The goal is an abstraction layer that consuming teams can adopt without needing to become storage infrastructure experts themselves. Lead compliance architecture: Partner with security and compliance teams to translate regulatory requirements into durable preventative technical controls — audit logging, access review infrastructure, data segregation, and lifecycle enforcement — built into the platform rather than bolted on. Drive cost and efficiency at petabyte scale: Identify systemic inefficiencies in storage layout, snapshot retention, and data lifecycle, and design automated, self-service tooling that scales without ongoing manual intervention from the team. Set the technical bar: Own critical design reviews, establish standards for reliability, security, and developer experience, and mentor senior engineers through high-stakes architectural decisions. Provide the technical judgment that keeps the platform moving fast without accumulating structural debt. Who You Are Minimum requirements 10+ years of professional software engineering experience. Demonstrated track record of designing, building, and operating large-scale distributed storage or data infrastructure systems. Deep experience with object storage (S3, Azure Blob, or equivalent) — including IAM, access control policy design, lifecycle management, and operational practices at petabyte scale. Proven ability to lead complex, multi-quarter infrastructure projects end-to-end, including cross-team dependency management and coordinating migrations across many consuming teams. Strong background in authorization and access control design for distributed data systems. Preferred requirements Deep expertise in Apache Iceberg — table format internals, the REST Catalog specification, snapshot lifecycle management, compaction, and compute engine integration (Spark, Trino, Flink, PyIceberg). Background in compliance-sensitive infrastructure — SOX, ICFR, or equivalent regulatory frameworks — with an understanding of how audit and access review requirements translate into preventative technical controls. Experience safely executing large-scale data migrations with a strong instinct for sequencing, blast radius reduction, rollback, and data integrity validation. A strong developer experience sensibility: the ability to build abstractions that are ergonomic, well-documented, and actively reduce toil for the engineering teams that depend on your 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.
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.
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 Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto, and remote locations. What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and exactly-once processing is supported as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success. What you'll do You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it. Responsibilities Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning) Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability Work closely with the open-source community to identify opportunities for adopting new open-source features and contributing back to OSS 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, operating, and evolving large-scale production systems. Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot Experience developing, maintaining, and debugging distributed systems built with open-source tools Experience building and scaling infrastructure as a product • Strong software engineering skills and a passion for big data distributed systems Ability to write high-quality code (in programming languages like Go, Java, Scala, etc.) Comfortable operating with high autonomy and ownership Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed Strong written and verbal communication skills, including the ability to produce clear technical documentation Preferred qualifications Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production Experience building or operating control planes for managing large-scale infrastructure Open-source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, 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 Merchant Experience team builds the UI operating system and core experiences that power decades of growth for millions of businesses globally, enabling Stripe to be the business SaaS solution of choice for next-gen companies. We own the foundational platforms and product surfaces that merchants interact with every day—from the Stripe Dashboard to the frameworks and tooling that hundreds of Stripe engineers use to build world-class user interfaces. We're at an inflection point. AI is fundamentally changing how users interact with software, and we believe Stripe is uniquely positioned to reimagine what a merchant experience looks like in an AI-native world. At the same time, we're raising the bar on the quality and performance of everything we ship—because the millions of businesses that depend on Stripe deserve an experience that is fast, reliable, and crafted with care. What you'll do As a Senior Staff Engineer on the Merchant Experience team, you'll be a technical leader responsible for shaping the next generation of how Stripe merchants interact with our products. You'll drive a step-function improvement in the quality and performance of our core surfaces, and help define what AI-powered merchant experiences look like at Stripe. Responsibilities Define technical strategy for merchant-facing experiences across Stripe, with a focus on quality, performance, and the integration of AI into core user workflows Lead the design and delivery of complex, cross-team projects that measurably improve the reliability, responsiveness, and polish of Stripe merchant surfaces Champion a quality-first engineering culture—establish standards, tooling, and processes that make it easy to ship high-quality, performant UI by default Drive performance as a product feature—own the technical approach to making the Dashboard and merchant tools best-in-class in speed and responsiveness, including instrumentation, budgets, and architectural improvements Innovate on the future of merchant UX—explore and prototype how AI can transform the way merchants discover, configure, and operate Stripe products, moving beyond traditional dashboard paradigms Build platforms and abstractions that make Stripe engineers more productive—frameworks, components, and developer tools that encode best practices for quality and performance Partner across Stripe with Product, Design, AI and ML, and infrastructure teams to translate high-level product vision into a concrete technical roadmap Mentor and grow engineers across the organization, raising the technical bar and fostering a culture of craftsmanship and high standards 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 Senior Staff role—the expected scope of this role includes overseeing the work of 4-6 teams and owning an entire portfolio of products—and while there's no strict minimum we're looking for, most candidates will have at least 10-15 years of experience in the industry Experience building and shipping complex, user-facing web applications that have reached large-scale audiences (hundreds of thousands of users) or have been contributed to by hundreds of engineers A track record of leading large-scale, cross-functional engineering projects with broad organizational impact Deep expertise in modern frontend and full-stack development—you have strong opinions on what makes a great user experience and the technical skills to make it real Demonstrated ability to drive measurable improvements in software quality and performance (e.g., load times, reliability, test coverage, error rates) Experience influencing technical direction and driving alignment across multiple teams without formal authority Excellent communication skills—you can articulate a compelling technical vision to engineers, product leaders, and executives alike Preferred qualifications Experience building or maintaining design systems, component libraries, or frontend platform infrastructure at scale—ideally with React A deep interest in the intersection of AI and UX—you think critically about how emerging technologies change interaction models and are excited to pioneer new paradigms Experience with performance engineering, including profiling, instrumentation, budgeting, and optimization of modern web applications Experience with the complexities of deploying large web applications at global scale—bundling, CDNs, browser compatibility, and build tooling Comfort working across the full stack—while this role skews frontend, you're not afraid to dive into APIs, backend services, or data layers when that's what the problem requires Familiarity with distributed systems, API design, and building platforms that serve both internal developers and external users A passion for developer experience and making other engineers more productive Experience mentoring senior engineers and contributing to engineering culture and hiring Hands-on experience integrating AI-powered capabilities into user-facing products—you've helped ship features that make complex workflows simpler and more intelligent
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 We believe startups are the future. The Startup and Venture Partnerships team builds Stripe's relationships with the world's leading venture capital firms and accelerators to increase Stripe's market share among the highest-signal startups. We work closely with top-tier venture firms and accelerators to deepen partnerships and ensure we're delivering value across every part of their organization. This role sits at the intersection of relationship management, program operations, and ecosystem intelligence. You'll expand our operational footprint within priority VC firms, run the programming and events engine that keeps our ecosystem engaged, and help translate portfolio data into action. What you'll do In this role, you'll support senior partner managers in deepening Stripe's relationships with the world's top VC firms and accelerators. You'll own the operational and programmatic layer of key partnerships, including credits administration, portfolio onboarding, event planning, and data analysis. This is a cross-functional role with visibility across Stripe's ecosystem, product, and marketing teams. Responsibilities Support senior partner managers in expanding Stripe's relationships within top VC firms by building connections with platform teams, portfolio services, junior partners, and operational stakeholders Own the operational layer of key partnerships, including credits administration, portfolio company onboarding, and partner communications Support senior team members with account planning, meeting preparation, briefing documents, and structured follow-ups Work with data science to track portfolio penetration, credits utilization, and conversion metrics, translating findings into actionable insights for the team Plan, coordinate, and execute team-hosted and co-hosted events, including VC dinners, founder roundtables, workshops, hackathons, and portfolio showcases Manage end-to-end event logistics, including venue sourcing, invitations, RSVPs, run-of-show, day-of execution, and post-event follow-up Build repeatable event playbooks, track event outcomes, and support production of team publications and the startup leads tool 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 3+ years of experience in venture capital operations, startup partnerships, business development, or program management Experience working with or within VC firms, accelerators, or the startup ecosystem Strong project management skills and the ability to manage multiple workstreams, stakeholders, and deadlines simultaneously Excellent written and verbal communication skills Comfort working with data and using metrics to inform priorities Preferred qualifications Direct experience on a VC platform or portfolio services team Familiarity with Stripe's products, particularly Billing, Payments, and Connect Event planning or field marketing experience in B2B or startup contexts Experience with Salesforce, Looker, or similar CRM and analytics tools Existing relationships within the venture ecosystem High agency and self-direction in ambiguous environments
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 Bridge is creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper than SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. The Stripe Finance and Strategy team is an integral thought partner to Stripe's core functional leaders. We bring understanding and predictability to Stripe's bottom-line financials. We work cross-functionally across many surfaces at Stripe and help steward Stripe's resource investments to improve the durability of our long-term financial performance. This role will partner closely with Bridge, a small team of people experienced in building financial infrastructure at leading companies. What you'll do We are looking for a Strategic Finance Partner who combines the rigor of a trained financial analyst with the technical self-sufficiency to answer complex business questions independently. This is a high-ownership, high-exposure role. You will own business forecasting, pricing analytics, and cross-functional partnerships that drive how Bridge allocates capital, sets prices, and grows. This is an early and consequential moment to join the finance function. You will be among the first finance hires in the organization and will have broad exposure across Bridge and Stripe leadership. Responsibilities Forecasting and Reporting Own full P&L reporting, forecasting, and budgeting, with an emphasis on revenue, unit economics, and the stablecoin payment flows that drive Bridge's business Pricing and Deal Modeling Lead pricing strategy across Bridge's product suite. Build models to evaluate pricing for enterprise deals, key accounts, and new product initiatives. Translate complex stablecoin transaction economics into pricing decisions that are both competitive and financially sound Strategic Financial Analysis Partner with business leaders across Bridge to analyze the financial impact of strategic initiatives, understand their business questions, and deliver analytical frameworks that drive real decisions Metrics and Analytics Partner with Bridge's data science team to define, build, and maintain the key business and operational metrics that measure Bridge's growth and efficiency. You own the financial lens on this work Data and SQL Ownership Write and maintain complex SQL queries and views to support P&L reporting, forecasting, and ad-hoc financial analysis. Work with engineering to ensure accuracy of financial metrics. Bridge has built strong infrastructure in Metabase and Databricks — you leverage it and go beyond it independently, without filing tickets and waiting Stripe Finance Partnership Integrate Bridge financials into broader Stripe company financial reporting and forecasting. Evolve the finance partnership and reporting structure as Bridge and Stripe develop joint product initiatives 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 7+ years in strategic finance, FP&A, investment banking, private equity, consulting, or analytical business operations, with a Bachelor's degree in a related field. We care about the rigor of your training, not the specific industry. Strong financial modeling fundamentals — you build 3-statement models, unit economics frameworks, and cohort analyses from a blank spreadsheet and understand the assumptions behind the numbers, not just the formulas. Genuine SQL proficiency — you write your own queries when the dashboard doesn't have what you need, with experience building data tables in Databricks or similar environments as a strong plus A demonstrated track record of cross-functional partnership with non-finance leaders — understanding the actual problems they're trying to solve and building something that improves their decision-making — and the intellectual curiosity and drive to deeply understand how the business works, including the settlement flows, transaction economics, and cross-border mechanics Self-directed and organized, with strong communication skills, high performance under tight timelines, and a roll-up-your-sleeves, get-it-done mentality that fits a small team building something new Preferred qualifications Prior experience in fintech, payments, or crypto — particularly in transaction-based or stablecoin business models Familiarity with Databricks, dbt, Looker, or Metabase Experience in a first-finance-hire or early-stage company context Exposure to enterprise deal structuring or pricing in a payments or API-product business
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 Risk Program Management Office is a unique role that sits at the intersection of Operations, Go To Market (GTM), and Risk Compliance teams. Our mission is to enable users to seamlessly meet evolving compliance standards in a complex regulatory environment by bringing the right set of cross-functional stakeholders to enable their success. As an enablement function, we work with many teams including Operations, Product, Eng, GTM, and others. We are expanding our scope into one of Stripe's most consequential strategic priorities and launching in new markets. This work is new, fast-moving, and high-ambiguity — and we're looking for someone who thrives in exactly that environment. If you enjoy working on high-impact projects on a global scale, building programs from the ground up, and operating at the intersection of compliance, strategy, and execution — you'll love this role. What you'll do New Markets Program Management Own end-to-end program management for new markets across Stripe's roadmap, focusing on APAC region Drive operational readiness across workstreams, tracking milestones, surfacing risks, and unblocking dependencies Navigate high ambiguity — this is a 0→1 space where you will be expected to figure out the right approach, not wait for one to be handed to you Build repeatable frameworks, playbooks, and reporting standards to support a growing and complex portfolio of markets Cross-Functional Leadership Represent our team in senior level conversations across Stripe and have high judgment and accountability Provide critical coordination across Risk teams (Ops, Product, Eng, Strategy, and others) to ensure alignment and execution Partner closely with stakeholders to maintain momentum across a fast-moving roadmap Facilitate alignment across teams with competing priorities, resolve ambiguity, and ensure clear ownership at every stage of execution Operations Identify operational impact, gap assessment, and other operational considerations to launch in new markets Ensure operational readiness across complex portfolio of programs, including forecasting, monitoring, and last-mile execution Maintain high operational rigor and execution discipline 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 a high-performance environment, managing complex, cross-functional programs or initiatives Demonstrated ability to operate in ambiguity and build from 0→1 — you have a track record of figuring out the right approach on problems where no playbook exists Strong program management skills: you can track and drive multi-workstream initiatives, surface risks early, and keep stakeholders aligned without losing momentum Strong cross-functional leadership, with experience aligning Product, Eng, GTM, and Operations teams toward shared goals Exceptional written and verbal communication skills, including the ability to write sharp 1-pagers and present credibly to senior audiences AI fluency — you actively use AI tools to accelerate your work and can clearly articulate how and where you apply them Experience working across global teams and time zones, including flexibility to join calls outside standard Singapore business hours as needed Preferred qualifications Experience working on international expansion, market entry, regulatory, or licensing programs Prior experience at a technology company; fintech or payments experience is a plus"
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 Internal System Org is at the core of Stripe to empower mission-critical financial domains including Finance & Strategy (F&S), Accounting, Tax, Treasury, Product Experience, GTM. We are the Financial Enablement team, acting as the centralized data analytics team for Internal System Org. Enable and empower F&S, GTM, Accounting, Product teams to achieve business goals, through dataset development, data analytics support, dashboards, AI, and operation efficiency enhancements. What you’ll do Responsibilities Perform data analysis, identify trends, conduct research, build visualizations, all to deliver objective, critical insights that fulfill team stakeholders’ business needs Work closely with cross-functional teams, including Finance & Strategy, Accounting, Product, Tax, User billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth Be the data strategy partner for our business stakeholders Reconcile complex dataset across complex finance systems Coordinate cross-functional projects to identify and drive operational efficiencies that support our stakeholders ability to run more efficiently and effectively Work closely with Engineering and Product teams to help define product solutions Leverage AI tools to improve team work efficiency Conduct internal knowledge sharing sessions to strengthen team Who you are You’re passionate about solving business problems and making a direct impact on business. You thrive in environments with many moving parts and quickly pick up new domain knowledge and technologies (e.g. AI). We’re seeking someone with excellent communication and advanced SQL/analytics abilities. Strong background in Accounting/Finance or prior AI experience is highly preferred, though these can also be developed on the job. Minimum requirements Bachelor's degree in STEM major (i.e. Computer Science, Math, Stat, Engineering, etc.) and 4+ years of prior working experience in data analysis fields Strong analytical ability, proficiency with SQL (minimum of 3 years advanced SQL) and strong understanding of data relationships Experience working with extremely large datasets Outstanding communication skills Expertise working cross-functionally to drive business and operational goals Excellent project management skills and ability to hold others accountable for results Ability to connect the big picture to minute details Operating as part of a team adhering to established norms and values Ability to identify opportunities to improve the data management processes Domain knowledge in Finance/Accounting/GTM Preferred qualifications Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting) Experience working with PM, Engineers, GTM, Accounting Team or Finance Team Experience working with financial datasets Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting) Experience with visualization tools Experience with AI tools (Claude Code, Kai, etc.) Domain knowledge in FinTech Products Bachelor's or Master degree in Accounting/Finance major CPA/CFA certification
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 This role is on the Intercept team, which is part of Stripe's broader collection of public goods initiatives, including Frontier . Respiratory viruses kill 1 million people a year, cost us $600B annually, disrupt everyday life, and periodically threaten civilization. Recent breakthroughs may make it possible to develop and deploy broad-spectrum preventatives and air cleaning technologies that defend against common respiratory infections. Intercept is a $500M philanthropic initiative that aims to radically reduce the burden of respiratory infections, and eventually eliminate them altogether. Learn more about Intercept via our launch post and our website . What you’ll do Intercept is looking for a strategic, execution-oriented operator to join our air cleaning technologies (ACTs) team. Intercept’s ACT function is focused on catalyzing the supply and demand of high-quality ACT products that can be deployed at scale. This role will focus on mapping the universe of available and in-development products, identifying gaps relative to prospective customers’ needs and operational barriers to adoption, and filling those gaps. Intercept is a small team, so you'll have a chance to work on a wide variety of topics and work directly with many of our partners. You’ll own specific outcomes end-to-end and have a chance to contribute to our ACTs strategy over time. This is an individual contributor role for someone who is obsessed with getting things done: clarifying goals and priorities, understanding stakeholder needs, identifying and removing blockers, then working to make the process work more smoothly the next time. Experience with physical products (e.g., heating, ventilation, and air conditioning; mechanical, electrical, and plumbing; indoor air quality) is a major bonus, but the general attributes described below and a willingness to learn are more important. We need someone who can (1) understand physical products and what it takes to help customers evaluate, pilot, and maintain them, and (2) zoom out to synthesize what their experience doing so means for the long-term goal of scale deployment. A successful person will be action-oriented and comfortable working independently (vs. waiting to be told what to do) and a great listener who can translate user needs into product and process improvement initiatives. Responsibilities Track and evaluate commercially available (and upcoming) air cleaning tech: review available products across standards and quality, installation, servicing and maintenance needs, and guidance for facilities managers etc. Help build and maintain a living product roadmap and target product profile (TPP) for ACTs. Use this knowledge to help us design indoor air quality (IAQ) pilots for prospective ACT adopters, conduct requests for proposals (RFPs) for suppliers to run these pilots, execute them, and scale capacity. Support the creation of playbooks for IAQ-curious organizations to DIY their own IAQ improvement projects, and ride-along with them to better understand blockers (then conceive of and execute work to solve those blockers at scale). Conduct focus groups to learn how decision-makers (facilities operators, people and finance leaders) in key segments consider IAQ investments. Build relationships with manufacturers, installers, servicers, etc. in the air cleaning tech space to help us evaluate new opportunities. 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 7-10+ years of experience in high impact strategy and operations, special projects, or commercial roles. Highly self-directed, hands-on project owner who executes directly (rather than delegating) and is eager to drive outcomes rather than manage a checklist of tasks. Expert communicator (both written and verbal) who can toggle between executive-style structured reasoning, in-the-weeds details, stakeholder research and non-expert audiences. Experience evaluating physical products or technologies against structured criteria, including quality, operational fit, and feasibility. Experience managing pilots or proof-of-concept programs, including running RFP or vendor selection processes. Experience conducting structured stakeholder interviews or focus groups and translating findings into actionable recommendations. Preferred qualifications HVAC/MEP familiarity. Experience at an organization that sells or manages physical product installations. Public health or biosecurity experience.