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.
Currently tracking 25 active AI roles, up 46% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $151k–$220k (avg $185k).
Stripe currently has 43 active AI-related roles in our index. The most common open titles are: Product Manager, Ecosystem Risk (3), Forward Deployed AI Accelerator, Marketing (2), AI Engineer, Accounting Technical Solutions Lead, Backend Engineer, AI Security. Most positions are in Engineering and Product.
Stripe's active AI hiring is concentrated in: agents (58%), application (19%), data (14%). 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 (25 roles), Canada (13 roles), United Kingdom (2 roles), India (2 roles).
Job postings at Stripe most frequently mention: Production ML Systems, Cybersecurity ML, System Design, Software Engineering, Product Management.
In the past 30 days, Stripe has posted 19 new AI-related roles. That is a +73% change versus the prior 30 days (11 → 19).
| Title | Stage | AI score |
|---|---|---|
| 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, enabling seamless transition from experimentation to production for ML engineers and product teams within a fintech domain. | ServeAgent | 8 |
| 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 build custom AI tools, agents, and automations to transform marketing workflows, making AI the default mode of operation. The role involves coaching marketers, scaling successful tools, and preparing them for an agentic future. It requires hands-on experience building AI-powered tools and enabling others. | Agent | 8 |
| Machine Learning Engineer Stripe's Applied ML team is looking for an ML Engineer to help reform user interaction with their financial platform. This role involves automating tasks and assisting users by leveraging and fine-tuning LLMs, taking projects from ideation through to production deployment. The engineer will analyze opportunities, train and evaluate models, run experiments, and deploy solutions, contributing to ML architecture and the broader ML community. | ShipPost-train | 8 |
| ML Engineer Manager, AI Conversation Platform Manager for an AI Conversation Platform team at Stripe, focusing on building RAG-based systems and fine-tuning LLMs to automate and assist merchant tasks. The role involves end-to-end ownership from ideation to production deployment, with a strong emphasis on team leadership, technical direction, and shipping high-quality ML systems. | AgentPost-train | 8 |
| Engineering Manager, AI Conversation Platform Stripe is seeking an Engineering Manager for their new AI Conversation Platform team. This role will focus on building and shipping AI/ML systems, including RAG-based systems and fine-tuned models, to automate and assist users with Stripe's platform. The manager will drive the team's vision, set technical direction, and lead a team of ML engineers. | AgentPost-train | 8 |
| Staff Software Engineer, Machine Learning Platform Stripe's ML Platform team is seeking a Staff Software Engineer to lead the technical direction and architecture for their ML infrastructure. This role will focus on building and operating platforms for ML training, model serving, feature stores, and agentic AI capabilities, aiming to increase ML velocity across the company. The engineer will own end-to-end system design, define strategy for next-generation ML infrastructure, and work cross-functionally to deliver robust solutions. | ServeAgent | 8 |
| Data Scientist, Fraud Data Scientist role focused on building and improving machine learning models for fraud detection and loss management systems within Stripe's financial infrastructure. The role involves working with supervised and unsupervised ML, statistical modeling, causal inference, and experimentation, with a strong emphasis on moving models from research to production and driving measurable impact on financial integrity and user trust. Experience with fraud/risk/financial crimes and deploying models in production is required. | ShipData | 7 |
| Staff Software Engineer, Product Risk Stripe's Product and Risk Data Engineering team is seeking a Staff Software Engineer to lead technical outcomes, deliver cutting-edge data pipelines, and leverage AI/LLM and Agents at scale. The role involves partnering with stakeholders, managing SLAs, and driving data initiatives within a regulated fintech environment. | DataAgent | 7 |
| Accounting Technical Solutions Lead Stripe's Accounting team is seeking an embedded technical resource to build AI-powered tools, autonomous agents, and data products to automate accounting workflows, enhance controllership, and provide actionable insights within a financial reporting control framework. The role involves applying accounting and AI expertise to solve complex accounting challenges, designing and deploying AI agents for multi-step problem solving, and shipping data products using SQL and Python. | AgentData | 7 |
| Treasury Finance AI and Quantitative Analytics, Americas Stripe's Treasury Finance team is seeking an AI and Quantitative Analytics professional to build autonomous agents and intelligent solutions that enhance treasury capabilities. The role involves developing AI-powered tools, quantitative models, and analytics to automate workflows, manage risk, and provide insights, working at the intersection of finance, AI, and product development. | Agent | 7 |
| Machine Learning Engineering Manager - Fraud Detection Machine Learning Engineering Manager for Fraud Detection at Stripe. The role involves leading a team of engineers to build and improve ML systems for fraud detection, focusing on merchant experience and financial ecosystem safety. Responsibilities include team leadership, recruiting, cross-functional execution, and strategic direction for risk management. | Ship | 7 |
| Financial Connections TechOps Integration Reliability Engineer Stripe's Financial Connections TechOps team is seeking an Integration Reliability Engineer to operate, maintain, and expand banking integrations. The role involves becoming a domain expert in open banking, owning integration health, handling technical inquiries, and building new financial partner integrations using agentic tooling. A key responsibility is designing, building, and shipping LLM-powered agentic workflows to automate operational tasks, acting as a Human-in-the-Loop reviewer for these processes. The role also requires conducting complex data analysis, partnering with financial institutions, and improving anomaly detection and observability tooling. | Agent | 7 |
| AI Engineer AI Engineer role focused on building production-quality internal tools, agents, and automated workflows for the Solutions Architecture team at Stripe. The role emphasizes integrating AI capabilities to improve SA productivity, accelerate customer engagements, and harden existing tools into scalable solutions. Requires strong backend engineering fundamentals and experience building AI agents or LLM-powered tools. | Agent | 7 |
| Machine Learning Engineer, Capital Underwriting Machine Learning Engineer for Stripe Capital, focusing on designing, building, training, evaluating, and deploying ML models for underwriting and portfolio management. The role involves working with large-scale datasets, productionizing models, and collaborating with cross-functional teams to provide financing opportunities while meeting financial performance and regulatory goals. | Ship | 7 |
| Staff Engineer, Identity Staff Engineer role focused on the technical strategy and architecture of Stripe's Identity platform, including core systems like the Identity Store, headless verification, and fraud detection infrastructure. The role involves leading 0-1 platform development for new systems, driving cross-functional alignment with ML and product teams, and setting engineering standards. Emphasis on delivering pragmatic solutions for identity verification, fraud prevention, and adversarial AI defense, with a focus on reliability, scalability, and security. | AgentServe | 7 |
| Internal Product Engineer, DevProd AI Stripe is building a new team to deploy LLM agents and tools to automate engineering workflows and accelerate engineering productivity. This role will build the next generation of internal AI coding tools and platforms. | 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 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 |
| 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 |
| 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 |