Stripe
Fintech · Payments
- HQ
- San Francisco, US
- Founded
- 2010
- Size
- 8,000+
- Website
- stripe.com
- Blog
- stripe.com
Products
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.
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 |
| 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. | Ship |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |