Stripe currently has 40 active job listings related to artificial intelligence. The majority of these roles, 75%, are focused on agents. Engineering is the most frequent function hiring for these positions, with the United States and Canada being the top hiring countries. Frequent tech tags include agent_orchestration and tool_use. Over the last 30 days, Stripe has added 15 new AI roles, representing a 25% increase compared to the previous 30-day period.
Stripe currently has 38 active AI-related roles in our index. The most common open titles are: Forward Deployed AI Accelerator, Marketing (3), PhD Data Scientist, Intern (2), Product Manager, Ecosystem Risk (2), AI Specialist, Treasury Finance Operations, Accounting Technical Solutions Lead. Most positions are in Engineering and Product.
Stripe's active AI hiring is concentrated in: agents (71%), application (13%), serving infrastructure (8%). 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 (21 roles), Canada (7 roles), India (6 roles), United Kingdom (2 roles).
Job postings at Stripe most frequently reference: agent orchestration, tool use, llm observability, model serving, evals.
In the past 30 days, Stripe has posted 12 new AI-related roles. That is a -25% change versus the prior 30 days (16 → 12).
Currently tracking 26 active AI roles, with 155 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $151k–$220k (avg $185k).
| 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 |