Strategic Overview
Staff Product Manager, ML Foundations and GenAI at Stripe is a product opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Develop and execute on the Stripe-wide strategy for new ML/AI applications across our product suite Evaluate and align on areas of investment for ML/AI applications in collaboration with product leaders across the company.
The role is listed for Seattle, San Francisco, New York, United States with remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
You will be joining Stripe’s ML Foundations and Gen AI team to incubate new ML applications and improve our ML capabilities across Stripe. Our team is responsible for unlocking novel ML and LLM techniques and applications across Stripe’s product suite to drive business outcomes, as well as providing infrastructure, tooling and support for ML teams.
Key Responsibilities & Objectives
- Develop and execute on the Stripe-wide strategy for new ML/AI applications across our product suite
- Evaluate and align on areas of investment for ML/AI applications in collaboration with product leaders across the company
- Work with cross-functional teams to execute on the roadmap and launch successful new ML/AI applications
- Communicate clearly and crisply with leadership stakeholders and drive alignment across multiple teams
Required Qualifications & Candidate Blueprint
- 7+ years of experience delivering highly successful and innovative software products which are ML powered
- Solid understanding of ML and applied AI tech stacks
- Demonstrated ability to influence company level strategy and work with business leaders to execute on the transformation
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
You will be joining Stripe’s ML Foundations and Gen AI team to incubate new ML applications and improve our ML capabilities across Stripe. Our team is responsible for unlocking novel ML and LLM techniques and applications across Stripe’s product suite to drive business outcomes, as well as providing infrastructure, tooling and support for ML teams.
What you’ll do
As a senior product leader, you will lead a cross-functional team to define, incubate and scale new ML/AI applications across Stripe’s product suite, and drive our strategy and roadmap for ML/AI infrastructure powering all of Stripe’s teams. You will work closely with product leaders across business units to define and deliver on an AI-centric product strategy, launching new applications that drive incremental business outcomes. At the same time, you will be advancing our core AI technology stack to empower teams across Stripe to infuse their scenarios with Agents and agentic capabilities, with API support for agent quality and continuous improvement.
Responsibilities
- Develop and execute on the Stripe-wide strategy for new ML/AI applications across our product suite
- Evaluate and align on areas of investment for ML/AI applications in collaboration with product leaders across the company
- Work with cross-functional teams to execute on the roadmap and launch successful new ML/AI applications
- Communicate clearly and crisply with leadership stakeholders and drive alignment across multiple teams
- Develop and execute on a strategy for advancing Stripe’s ML/AI infrastructure and tooling
Who you are
We’re looking for someone who meets the requirements below, and has a passion for AI to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 7+ years of experience delivering highly successful and innovative software products which are ML powered
- Solid understanding of ML and applied AI tech stacks
- Demonstrated ability to influence company level strategy and work with business leaders to execute on the transformation
- You push the pace. You take blame and pass the praise. People love working with you.
- Proven ability to lead teams and work cross-functionally in a highly collaborative environment.
- Ability to analyze and use quantitative and qualitative data to inform decisions.
- A deep understanding and empathy for consumer and business users — you love building products that make our customers feel joy, delight and trust.
- Relentlessly drives product quality
- Capable of working on both 1P and 3P products
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This product opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Develop and execute on the Stripe-wide strategy for new ML/AI applications across our product suite — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
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