Product Manager – Stripe Infrastructure

Stripe

Product Manager for Stripe's Infrastructure team working to improve user experiences and infrastructure reliability. Collaborating with technical leaders to drive impactful projects in a B2B environment.

Posted 3/31/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Unlimited paid time off
Health insurance
Retirement plans
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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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