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Product Manager, Stripe Infrastructure

United StatesRemote7+ YOE
Summary

Product Manager drives infrastructure and developer experiences at Stripe, partnering with engineering to deliver reliable systems, AI agents, and ergonomic tools. Requires 7+ years PM experience, strong technical/AI expertise, and data-driven stakeholder management.

About the role

Responsibilities

  • Partner with engineering teams (Core Infra, Developer Infra, Data Platform, Service Platform) to ship user-delighting functionality with balanced impact vs. cost.
  • Establish system and design principles for Seller Systems, selecting long-term solutions.
  • Guide architecture and investment decisions (build vs. buy, modernization vs. extension).
  • Interact with external users and propose infrastructure abstractions.
  • Validate product ideas and prototypes with early adopters.
  • Define key success metrics for developer products.
  • Work on infrastructure, API, data models/pipelines roadmaps.
  • Develop internal AI agents for functions like Recruiting, Legal.

Minimum Requirements

  • 7+ years progressive experience in Product Management, ideally enterprise/B2B.
  • Demonstrated success defining, launching, scaling complex products.
  • Proven stakeholder management across Engineering, Design, Sales, Marketing, Executives.
  • Exceptional Customer User Journeys (CUJs) analysis for AI opportunities.
  • Data-driven prioritization with KPIs and dashboards.
  • Track record using qualitative/quantitative insights.
  • Excellent communication of technical concepts.

AI & Technical Expertise

  • Hands-on experience developing/launching AI/ML products.
  • Understanding of Large Language Models (LLMs), RAG, fine-tuning, prompt engineering.
  • Experience with LLMs or conversational AI agents.
  • Technical background (e.g., Computer Science degree or equivalent).

Preferred Qualifications

  • Experience in cross-geo/timezone environments.
  • Solving high-impact, cross-system challenges with senior stakeholders.
Skills
Large Language ModelsAI/MLPrompt EngineeringRetrieval-Augmented GenerationKubernetesAPIsData PipelinesDistributed SystemsProduct AnalyticsComputer Science