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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 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

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

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 LPM Partner Success team is on a mission to capture a massive opportunity for Stripe: Aligning Stripe’s PIV with global payment method trends. We do this by arming integration teams with the tools they need to ship full-featured LPMs faster, and we give LPM partners the ability to independently grow and maintain their businesses on Stripe. We own the 3P Platform, Turnkey, and the LPM Partner Dashboard, powering 26+ payment methods. Our vision: building an LPM on Stripe should be as simple as deploying an app to an app store. We provide the tooling so every integration ships full-featured out of the box, and we build self-serve tools that let partners debug, monitor, and grow without Stripe in the critical path. Global teams focus on strategy and differentiation, not implementation. What you’ll do While most Stripe platform teams focus on internal users or merchants, this team supports LPM partners. You'll design systems where a single abstraction can improve the integration quality for 26+ payment methods. You’ll deeply understand the needs of our LPM partners and develop tools that will make Stripe the best in class partner for LPMs. To ensure every LPM launches with Stripe's core ecosystem from day one, you will work closely with teams like OCS, Billing, and Risk. Responsibilities Build platforms that improve the feature completeness of 10+ local payment methods at once (recurring, cross-border, adaptive pricing) Ship features on the LPM Partner Dashboard, a greenfield product that gives partners visibility and control over their integration with Stripe Design self-serve workflows that let partners debug, monitor, and operate independently without pulling in Stripe engineers Streamline the LPM integration process so global teams can onboard new payment methods faster Work with OCS, Billing, Risk, and other teams to ensure LPM integrations support critical Stripe products Debug and resolve production issues across the stack Mentor engineers on 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 Strong coding skills in any programming language Strong collaboration skills, can work across workstreams within your team and contribute to your peers' success Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users Experience building, maintaining, and running production services and backend APIs Deep care for users' needs and a track record of building great user experiences Preferred qualifications Experience designing multi-tenant platforms or systems that need to generalize across many similar-but-different use cases Familiarity with payments infrastructure or payment method integrations Experience building for external partner ecosystems where you don't control the other side of the integration

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 Infrastructure team at Stripe is entrusted with developing and maintaining the infrastructure utilized by all product teams to create services that underpin all Stripe business operations. This includes defining and executing a vision that ensures industry-leading scale and availability, and actively balancing these concerns with efficiency, latency, and organizational health. We are committed to advancing new distributed services and scaling existing technologies across the industry, in close collaboration with various teams to support their current and future demands, and various external partners in the open source community. Our infrastructure supports businesses worldwide by processing payments, managing marketplaces, assisting entrepreneurs in launching internet businesses, and more. The Infrastructure organization comprises teams responsible for operating system components, databases, caching, high availability, disaster recovery, cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, change management, and network edge infrastructure. What you'll do As a Software Engineer on the Infrastructure team, you will be part of a team that is in charge of building the core infrastructure used by product teams which support our business. Examples include control plane services responsible for managing our primary database and cache infrastructure as well as building automation around managing cloud components for compute, cache, and networking. You will also build a great customer experience for internal Stripe teams that build on your software to power all of our products, globally and at scale. Responsibilities Design, build, and maintain distributed cloud infrastructure and platform services Work on scaling, automation, reliability, and observability of infrastructure services Operate your service, debug issues, and support customers Participate in roadmap planning and prioritization Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 5+ years of professional experience in a software development role Experience building, deploying, and managing infrastructure on a major cloud provider A strong engineering background in building platform services and/or distributed systems at scale, with a solid grasp of underlying operating system primitives Experience developing, maintaining, and debugging distributed systems, including diagnosing low-level resource constraints Experience with operational excellence and modern observability practices, including distributed tracing, structured logging, and system-level metrics Preferred Qualifications Experience with popular cloud technologies — AWS, Azure, GCP, or Oracle Cloud Experience with Go or other systems languages (e.g., Rust, C/C++) Experience with Linux OS internals, performance optimization, and kernel-level troubleshooting Experience working with Kubernetes clusters and low-level container mechanics Experience in networking and traffic systems at scale Experience handling critical incidents for production 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 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.

Engineering Manager, AI Conversation 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 newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities Driving an ambitious vision for AI/ML that benefits our users Setting the technical & process direction for the team based on business goals Brainstorm and coordinate product integrations with partner teams Proposing new ideas and building prototypes Be an integral part of a larger ML community internally & externally Hire & develop a world-class team to deliver high-quality ML systems. Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. Minimum requirements Have at least 4 years of experience managing ML teams Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. Lead by example in high-growth, high-impact, ambiguous environments Have experience building & shipping ML systems. Hold yourself and others to a high bar when working with production systems. Thrive in a collaborative cross-functional environment Preferred qualifications Experience in shipping LLM & RAG systems

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. About the team Engineering at Privy is distinguished by: High urgency—Shipping very small iterations, very fast, to learn very quickly. Product taste—Our customers are developers, and to build effective products for them requires technical knowledge —you will often be "the PM". Security mindset—A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low-latency APIs, and blockchain abstractions that are accessible to mainstream developers. At Privy, our Forward Deployed Engineers work on the company’s most important customer problems. They partner closely with customers to architect our most complex integrations and build new product features that close the gap to win deals. What you’ll do We’re looking for an Engineering Manager to lead this team as it continues to grow. You’ll be responsible for helping an outstanding group of Forward Deployed Engineers do the best work of their careers while staying laser-focused on helping Privy and its customers win. This is a high-leverage role at the intersection of customers, product development, and engineering. You’ll help the team stay focused on the highest-value work, raise the bar on execution, and help turn customer signal into new products and features. As the manager of this team, you own its overall impact. Great management is a core part of how Privy wins: our managers are force multipliers, performance coaches, and culture carriers who help exceptional people do exceptional work. Own team outcomes and business impact for Forward Deployed Engineering Coach and develop engineers across technical depth, customer empathy, and ownership Hold the team accountable to excellence in quality, throughput, and performance Ensure the team is focused on the right problems and highest-leverage opportunities Partner closely with Product, Solutions Engineering, and GTM Stay close to the work—review PRs, help scope technical work, review design docs, and jump in on complex problems Build a strong team culture grounded in trust, rigor, and urgency Strengthen the feedback loop between customer signal and product roadmap Who you are Strong ownership and a track record of driving outstanding business impact Excellent people management skills and experience growing high-performing engineers Strong technical judgment and the ability to evaluate architecture and tradeoffs A customer-first mindset and comfort translating ambiguous needs into clear technical direction High emotional maturity and strong communication Experience managing in a fast-moving, high-expectation environment

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Global Payments Experiences group is an organization focused on bringing new and novel payment methods to Stripe, and ensuring Stripe’s systems work well for merchants globally. This team works with internal and external partners to expand regional, non-card payment options, and to expand the use of Stripe’s payments processing globally. What you’ll do This is a Sao Paulo-based team, with platform teams in the US and Europe and sister teams worldwide. This team in particular will build and maintain new payment methods for Stripe, with a focus on LATAM and North America. They will manage local market idiosyncrasies, become regional experts that other Stripe teams will rely on, and partner with many non-tech functions at Stripe to expand our global reach and product portfolio. Responsibilities Design and reason about integration experiences with a strong focus on end-user simplicity and developer experience Build back-end services and integrations across solutions across Stripe’s payments product Engage and interact with external partners to determine and build technical solutions Engage directly with users to understand their business needs and translate requirements into concrete solutions Collaborate with cross-functional teams including product, partnerships, eng platforms, and other engineering teams to deliver these solutions Contribute to software platforms used across payments at Stripe Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 2+ years of backend engineering experience Strong command of verbal and written English language Experience working across geographies Experience building extensible, leveraged software solutions that scale to different kinds of user needs, with the ability to empathize with users and advocate for exceptional user experiences Preferred qualifications Previous experiences working in payments and on payments technology Previous experience using Stripe products