Careers at Stripe

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 Product and Risk Data Engineering is Stripe's single source of truth data engineering layer for Payments, Risk, and Product — we enable Stripe to confidently run, measure, and grow the business by making accurate information easy to access. We curate and maintain high-quality data warehouses and pipelines that serve as the authoritative foundation for product and financial activity across Stripe, powering analytics, ML capabilities, agentic workflows, and merchant-facing data interfaces. Beyond building data, we act as the internal experts in data technologies and partner with Data Platform to deliver high-quality, low-friction data processing frameworks. We also serve as the bridge between data producers and data consumers — championing best-in-class data engineering practices and guiding product teams on event-driven data API modeling — so that every team at Stripe can build, decide, and grow from a trusted, well-engineered data foundation. What you’ll do We're looking for a person who could contribute to the team by 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, and AWS Cloud - experience with all or some of these tools is a huge plus Influencing open-source contributions 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 The Security Incident Response team is responsible for triaging and assessing the severity of incoming security alerts, responding with initial containment measures and escalating as needed to incident responders for further investigation and resolution. They analyze a variety of data sources to identify potential threats, collect requirements for operational enhancements to detection and response systems, and generally scale security processes. From external attacks to insider threats, our goal is to respond with speed and precision, remediate, and support the incident postmortem process. The team is distributed globally and regularly coordinates with stakeholders in North America, Europe, and Asia. What you’ll do You will leverage your security incident response experience to improve capabilities at Stripe. You will manage and coordinate the entire incident response process, developing and implementing incident response plans, conducting risk assessments, establishing procedures, leading workstreams, and ensuring timely and effective resolution. You will also act as incident commander, collaborating with various internal stakeholders, performing post-incident analysis and reporting, and making continuous improvements to Stripe’s security engineering and incident response function. Responsibilities Lead and coordinate security incident response activities and workstreams as the incident response manager (IRM) Analyze and investigate a broad range of threats or activities occurring on client devices, maintaining a high level of confidentiality and documenting incident details accordingly Make decisions and recommendations based on the results of incident analysis and communicate the appropriate context to stakeholders, including insights to help identify, prevent, detect, and respond to anomalous or potentially malicious activity Develop, document, and implement strategies, runbooks, capabilities, and techniques for incident response Work cross-functionally with security engineering and data science teams to build solutions for analyzing security events data at scale and protecting Stripe networks, systems, and data from threats Strengthen KPIs and metrics for measuring response effectiveness and provide clear and consistent reporting to internal stakeholders Continuously improve security processes and response capabilities by building relationships with key stakeholders and collaborating with engineers and analysts Mentor and develop other teammates, championing quality standards 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 5+ years experience in leading Security Incident Response B.S. or M.S. Computer Science or related field, or equivalent experience Working knowledge of Python and SQL, and familiarity with other programming languages Existing experience with log analysis (e.g. first or third party applications, system / data access, event logs), network security, digital forensics, and incident response investigations Hands-on experience in analyzing and responding to security events, such as conducting log analysis, developing queries and analytics, troubleshooting security issues, and correlating complex data sets. Proficiency with developing and using novel analytical methods to automate response processes Excellent written and verbal communication skills, proactive in informing stakeholders, and ability to operate with little oversight. Ability to identify trends, insights, and relationships between internal and external data and intelligence sources to make risk mitigation recommendations. Preferred qualifications Broad knowledge and experience across the information security domain, including familiarity with endpoint, email, network, identity management, cloud security, vulnerability management, incident response, and threat intelligence. Experience with engineering, data processing and analysis tools (e.g. Databricks, Trino, etc.) Familiarity with network observability, security software, or data engineering solutions (Chronicle, osquery, LogScale, Splunk, 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 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 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 Secure Devices is responsible for ensuring that every client endpoint at Stripe adheres to our rigorous security standards. Our services play a crucial role in detecting and preventing data loss, restricting software execution to only approved software, and providing attestation capabilities to securely manage device identities. We operate both on-device and backend services across multiple platform types. Our users-first approach ensures that we’re empowering Stripes to be as productive as possible while protecting user data. What you’ll do As a software engineer on Secure Devices, you will work at the intersection of software development, security, and client platform engineering. You will work with teams across Security, Infrastructure and Corporate Engineering to drive strategic projects to better secure Stripe endpoints, build infrastructure for supporting new platforms, and operate services critical to securing over 10,000 Stripe devices. Responsibilities Contribute to the secure design and implementation of Stripe’s mobile expansion initiative Act as the subject matter expert on iOS security by advising partner teams on iOS security best practices and secure-by-design architectures Design, build and maintain Stripe’s endpoint security software. This includes developing telemetry and prevention capabilities via macOS system extensions that run on all Stripe macOS devices Collaborate closely with partner teams to define and measure the secure configuration of Stripe’s client platforms (macOS, iOS/Android, ChromeOS) Operate high RPS backend services providing critical controls and security configuration to Stripe endpoints Drive down usage of unapproved, untrusted software while creating a surprisingly great user experience for onboarding new, approved software Manage and improve device attestation flows to ensure Stripe’s device and user identities are kept secure Identify opportunities on Stripe client platforms to improve our security posture and resiliency against malware and advanced persistent threats Build and maintain a users-first data loss prevention program to protect against accidental and malicious data exfiltration 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 4+ years of relevant experience securing iOS and/or macOS platforms 4+ years of software engineering experience writing Go, Swift or Objective-C Deep expertise securing devices within the Apple ecosystem Understanding of the current threat landscape and how to defend Apple devices against modern threats High standards for code quality and a constructive attitude to help others raise the bar An ability to think creatively and holistically about reducing risk in a complex environment The ability to drive clear next steps when encountering ambiguous spaces without clear lines of ownership Empathy, strong communication skills and a deep respect for the power of collaboration Preferred qualifications Experience implementing endpoint detection and response software Knowledge of macOS or iOS internals and how they can be used to build security controls and software Exposure to data loss prevention strategies Ability to develop backend networked applications capable of handling a high number of requests General proficiency in securing client devices Understanding of topics such as platform hardening, malware detection, and endpoint management through configuration as code Understanding of networking protocols across various levels of the stack TCP, DNS, SSH, TLS, HTTP Linux system administration knowledge Additional experience securing alternative platforms including Windows and Android Experience working with AWS cloud services

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