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