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 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 |
| 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, 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 |
| 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 |