Product Manager – Stripe Infrastructure
Stripe
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Partner with the engineering teams, including Core Infra, Developer Infra, Data Platform, and Service Platform, to ship functionality that delights users, has the right balance of impact vs engineering cost, and makes a measurable impact on the business
- Establish system and design principles for how we build, buy, and operate Seller Systems — ensuring we select the right long-term solutions, not short-term patches.
- Guide architecture and investment decisions, weighing trade-offs between build vs. buy, modernization vs. extension, and platform vs. point solution to maintain a cohesive, sustainable ecosystem.
- Interact with external users and propose critical infrastructure abstractions that best serve them
- Validate product ideas and prototypes with early adopters
- Define key success metrics for developer products
- Work on infrastructure, API, data models/pipelines roadmaps
- Work on internal AI agents for specific functions such as Recruiting, Legal etc. to aid productivity and great customer experience
Requirements
- 7+ years of progressive experience in Product Management, ideally within an enterprise or B2B setting.
- Demonstrated success in defining, launching, and scaling complex products from ideation to general availability in an enterprise environment.
- Proven ability to manage diverse stakeholders (Engineering, Design, Sales, Marketing, Executive Leadership) and drive cross-functional alignment on product vision and prioritization.
- Exceptional ability to map, analyze, and refine Customer User Journeys (CUJs) to identify high-value pain points and opportunities for AI solution deployment.
- Highly data-driven approach to prioritization and decision-making, including the ability to define key performance indicators (KPIs), create product impact dashboards, and synthesize data into actionable product requirements.
- A track record of leveraging qualitative (customer interviews) and quantitative (product usage data) insights to validate assumptions and drive product strategy.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts and product strategies clearly to both technical and non-technical audiences.
- Hands-on experience developing and launching AI/ML-powered products or features for internal or external customers.
- Robust functional and technical understanding of Large Language Models (LLMs) and common AI-based workflows (e.g., retrieval-augmented generation, fine-tuning, prompt engineering).
- Prior experience working directly with LLMs or launching conversational AI agents into production.
- Technical background (e.g., Computer Science degree or equivalent practical experience) that allows for deep engagement with engineering teams on technical trade-offs and architectural decisions.
Benefits
- Unlimited paid time off
- Health insurance
- Retirement plans
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Product ManagementAI/ML product developmentCustomer User Journeys (CUJs)Key Performance Indicators (KPIs)Data analysisLarge Language Models (LLMs)Prompt engineeringRetrieval-augmented generationTechnical architectureCross-functional alignment
Soft Skills
Stakeholder managementCommunication skillsAnalytical thinkingProblem-solvingCollaborationDecision-makingUser empathyStrategic thinkingLeadershipAdaptability
Certifications
Computer Science degreeProduct Management certificationAI/ML certification