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).
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).
| Title | Stage | AI score |
|---|---|---|
| AI/ML Engineering Manager, Payment Intelligence AI/ML Engineering Manager for Stripe's Payment Intelligence Suite, focusing on leading ML/AI adoption, deploying Foundation Models, and enhancing performance analytics and risk management. The role involves managing teams of managers and driving strategic execution for AI/ML across payments. | ShipServe | 8 |
| PhD Machine Learning Engineer, Intern Stripe is seeking PhD Machine Learning Engineering Interns to develop and deploy large-scale ML systems for financial infrastructure. Interns will work on end-to-end ML model development, including training and production deployment, focusing on areas like foundation models for fraud detection and user behavior prediction, and projects like the Stripe Assistant and Stripe Foundation Model. |
| 8 |
| Machine Learning Engineer, Payments ML Accelerator Machine Learning Engineer focused on developing and deploying deep learning models and foundation models for Stripe's payment products, impacting core business metrics. The role involves the entire ML lifecycle, from research to production, with an emphasis on reusable architectures and scalable workflows. Requires significant industry experience in end-to-end ML development and production deployment. | ShipServe | 8 |
| 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 |