Staff Product Manager, ML Foundations and GenAI
Stripe is hiring a Staff Product Manager, ML Foundations and GenAI for a remote role open to applicants in United States. Level rates it ; you can apply on Stripe.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- Level classes it as a lead role.
- Stripe has 718 other open roles on Level.
AI in this role
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
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- 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
How we rate this
Staff Product Manager, ML Foundations and GenAI at Stripe rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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