Stripe
Fintech · Payments
- HQ
- San Francisco, US
- Founded
- 2010
- Size
- 8,000+
- Website
- stripe.com
- Blog
- stripe.com
Products
Currently tracking 25 active AI roles, up 46% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $151k–$220k (avg $185k).
Fintech · Payments
Stripe currently has 40 active job listings related to AI. The majority of these roles, 63%, are focused on agents. Engineering is the primary function for these hires, with the United States and Canada being the top hiring countries. Frequent tech tags include agent orchestration, LLM observability, and tool use. Over the last 30 days, Stripe has added 14 new AI roles, representing a 40% increase compared to the previous 30-day period.
Stripe currently has 10 active AI-related roles in our index. The most common open titles are: Backend Engineer, AI Security, Backend Engineer, Expansion, Forward Deployed AI Accelerator, Marketing, Product Manager, Growth AI Outreach Motion , Specialist Solutions Architect, Radar (Fraud/Risk). Most positions are in Engineering and Product.
Stripe's active AI hiring is concentrated in: agents (60%), serving infrastructure (20%), application (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Stripe is hiring AI talent in: United States (4 roles), Canada (4 roles), India (2 roles).
Job postings at Stripe most frequently mention: Agentic Systems, System Design, API Design & Development, Software Engineering, React.
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer, Support Experience Machine Learning Engineer at Stripe focused on enhancing support experiences using AI. The role involves designing, building, training, evaluating, and deploying ML models, particularly LLMs, for applications like conversational agents, personalized documentation, and automated problem-solving. The engineer will work on RAG, tool use, agentic architectures, and post-training methods, collaborating with cross-functional teams to integrate AI into support systems and products. | AgentPost-train | 8 |
| Treasury Finance AI and Quantitative Analytics Stripe's Treasury Finance team is seeking an AI and Quantitative Analytics professional to build intelligent solutions and autonomous agents that enhance treasury capabilities. The role involves applying finance domain expertise to identify AI opportunities, developing AI-powered tools and models, and deploying autonomous AI agents using frameworks like LangChain and LangGraph to automate complex workflows and provide actionable insights. | Agent | 8 |
| Software Engineer, Machine Learning Infrastructure Stripe's ML Infra team is seeking a Software Engineer to build and scale the ML lifecycle services, including training, serving, and LLM applications, to accelerate AI/ML adoption across the company. The role focuses on designing and implementing robust, high-availability infrastructure for production ML platforms. | ServeAgent | 8 |
| Machine Learning Engineer, Stripe Assistant Stripe is seeking a Senior Machine Learning Engineer to own the end-to-end ML and agent architecture for the Stripe Assistant. This role involves developing an intelligent assistant that leverages LLMs and agentic systems to answer queries, resolve issues, provide business insights, and anticipate user needs. Responsibilities include setting strategy for high-trust actions, delivering accurate answers, orchestrating tools and agents, grounding responses in data, driving conversation continuity, establishing evaluation and SLOs, and improving quality, latency, cost, and availability. The role also involves mentoring engineers and upholding high standards for code quality, security, and operational rigor. | AgentPost-train | 8 |
| Machine Learning Engineer, Supportability Stripe is seeking a Machine Learning Engineer for their Supportability Evaluation team. This role focuses on designing, building, training, evaluating, and deploying AI/ML models and large-scale systems for detection and decisioning within Stripe's financial ecosystem. The engineer will work on scaling an LLM-based system, integrating new capabilities through agentic approaches or supervised learning, and ensuring merchant compliance in real-time. | AgentPost-train | 8 |
| AI/ML Engineering Manager, Payment Intelligence AI/ML Engineering Manager for Stripe's Payment Intelligence Suite, focusing on leading ML/AI adoption, deploying Foundation Models, and enhancing performance analytics and risk management. The role involves managing teams of managers and driving strategic execution for AI/ML across payments. | ShipServe | 8 |
| PhD Machine Learning Engineer, Intern Stripe is seeking PhD Machine Learning Engineering Interns to develop and deploy large-scale ML systems for financial infrastructure. Interns will work on end-to-end ML model development, including training and production deployment, focusing on areas like foundation models for fraud detection and user behavior prediction, and projects like the Stripe Assistant and Stripe Foundation Model. | Ship | 8 |
| Machine Learning Engineer, Payments ML Accelerator Machine Learning Engineer focused on developing and deploying deep learning models and foundation models for Stripe's payment products, impacting core business metrics. The role involves the entire ML lifecycle, from research to production, with an emphasis on reusable architectures and scalable workflows. Requires significant industry experience in end-to-end ML development and production deployment. | ShipServe | 8 |
| Product Manager, Growth AI Outreach Motion Product Manager to define and build an AI-powered system for personalized user guidance across the full customer journey, from initial inquiry to expansion, aiming to scale a high-touch specialist experience to all users. | Agent | 7 |
| Backend Engineer, AI Security Backend Engineer focused on AI Security at Stripe, responsible for building security primitives and a tooling layer within the AI inference path to protect against threats like prompt injection and jailbreaks. The role involves collaborating with AI infrastructure and product teams, and designing systems to secure AI applications. | ServeAgent | 7 |
| Forward Deployed AI Accelerator, Marketing Stripe is building a team of Forward Deployed AI Accelerators (FDAs) embedded directly with marketing cohorts to make AI the default mode for all work. The FDA team exists to take what's working and systematically scale it across the entire marketing organization. Responsibilities include identifying high-leverage workflow transformations, building custom tools, agents, automations, and skills, coaching marketers through AI integration, and preparing them for an agentic future. The ideal candidate is a deep AI practitioner who has built agents and tools that transformed real work processes, is an exceptional coach and communicator, understands marketing work, and is a pattern recognizer. | Agent | 7 |
| Engineering Manager, Payment Intelligence Stripe is seeking an Engineering Manager for their Payment Intelligence team. This role focuses on leading a team to build ML-driven products that optimize payment conversion rates, minimize costs, and manage fraud for merchants. The manager will be responsible for end-to-end product delivery, technical mentorship, team leadership, recruiting, and contributing to engineering-wide initiatives. The role requires strong technical acumen, cross-functional collaboration, and experience managing teams that have shipped high-quality products. | Ship | 7 |
| Product Manager IC-02 Product Manager to define product strategy and lead cross-functional initiatives for internal GenAI applications, focusing on use case scoping, vendor evaluation, data readiness, and operational adoption within the fintech industry. The role also involves platformizing reporting, building reusable data models, and overseeing the development of a semantic layer for standardized metrics and self-service analytics. | Agent | 7 |
| Learning Architect Stripe is seeking a Learning Architect to design and build AI-enabled learning ecosystems for employee development. This role involves transforming high-touch programs into scalable digital solutions, architecting AI-driven coaching interfaces, optimizing data infrastructure for content surfacing, and creating tools for the People Development team. The ideal candidate has a blend of pedagogical expertise, product engineering thinking, and experience leveraging AI to scale learning. | Agent | 7 |
| Engineering Manager, Developer Productivity AI Manager for a new team focused on accelerating Stripe's engineering productivity by deploying LLM agents and tools to automate engineering workflows. The role involves leading a senior, cross-continent team, setting product direction, and delivering user experiences for internal engineers. | Agent | 7 |
| Forward Deployed AI Accelerator, Marketing This role is for a Forward Deployed AI Accelerator embedded within a marketing team at Stripe. The primary responsibility is to transform how marketers work by building custom AI tools, agents, and automations, and coaching them to become self-sufficient in using AI. The goal is to make AI the default mode for all marketing tasks and scale successful transformations across the organization. | Agent | 7 |
| Forward Deployed AI Accelerator, Marketing This role involves embedding AI expertise within marketing teams to transform workflows by building custom AI tools, agents, and automations. The goal is to make AI the default mode of operation for marketers, coaching them through adoption and enabling self-sufficiency, with a focus on scaling successful transformations across the organization. | Agent | 7 |
| Engineering Manager, Agent Experience Engineering Manager for the Agent Experience team at Stripe, focusing on building infrastructure to enable AI agents to transact and scale within financial systems. The role involves leading and scaling a team of engineers, defining agentic strategy, and ensuring rapid, reliable delivery of complex back-end systems and developer tools in a regulated financial environment. | Agent | 7 |
| Staff Engineer, Machine Learning Platform Stripe's ML Platform team is seeking a Staff Engineer to lead the technical direction and architecture for their ML infrastructure. This role involves building and scaling platforms for ML engineers and data scientists, focusing on areas like low-latency inference, feature stores, monitoring, and LLM/agent orchestration. The goal is to increase ML velocity and MLOps maturity across the company. | ServeAgent | 7 |
| Staff Product Manager, ML Foundations and GenAI Stripe is seeking a Staff Product Manager to lead a cross-functional team in defining, incubating, and scaling new ML/AI applications across their product suite. This role involves driving the strategy and roadmap for ML/AI infrastructure, launching new AI-centric products, and empowering teams with Agents and agentic capabilities. | Agent | 7 |
| Software Engineer, Fee Insights Software Engineer on the Fee Insights team at Stripe, focusing on building agentic systems for fee explainability. The role involves developing backend services, frontend experiences, data pipelines, and AI agents, with a strong emphasis on accuracy, reliability, and evaluation frameworks for complex pricing scenarios. | Agent | 7 |
| Specialist Solutions Architect, Radar (Fraud/Risk) Stripe is seeking a Specialist Solutions Architect for their Radar (Fraud/Risk) team. This role involves acting as a domain expert to advise pre-sales teams, influence product roadmaps, and educate customers on Stripe's fraud and risk management platform. The role requires deep knowledge of the fraud ecosystem, including AI-powered detection, ML model tuning, and holistic business risk, and will involve creating reusable assets and coaching others. The candidate will partner with product and sales teams, serve as a voice of the customer, and help resolve complex technical issues. | Agent | 7 |
| Product Manager, Stripe Infrastructure Product Manager for Stripe Infrastructure, focusing on internal AI agents for productivity and customer experience. The role involves defining and launching AI/ML-powered products, understanding LLMs, and working with engineering teams on AI solutions. | Agent | 7 |