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Stripe

Staff Product Manager, Payments Intelligence

Stripe is hiring a Staff Product Manager, Payments Intelligence 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 AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions Python, SQL and product management among its tools and skills.
  • Level classes it as a senior role.
  • Stripe has 765 other open roles on Level.

AI in this role

Lead the vision and product roadmap for AI-powered payments intelligence platforms and real-time risk prediction systems.

PythonSQL
product-managementdata-analysispaymentsroadmap-planning

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

The Payments Intelligence organization optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our users, maximizing successful transactions while minimizing payment costs and fraud. We own products like Radar, Authorization Boost, and Disputes, building fast and scalable services and creating intuitive user experiences. We serve real-time predictions as part of Stripe’s payment infrastructure and architect controls that leverage AI to optimally manage users’ business.

What you’ll do

As a Product Lead on the Payments Intelligence team, you’ll be responsible for scoping, designing, and building intuitive features that help users maximize their revenue while minimizing their cost while shaping our intelligence platform. You will partner with many functions at Stripe, with the opportunity to both work on infrastructure/platform systems, as well as produce direct user-facing business impact.

Day to day you’ll be working closely with a team of engineers and data scientists. You’ll collaborate with peers in Design, Product Marketing, Partnerships and many others to craft the vision for our Payments Intelligence products.

Responsibilities

  • Develop the long-term vision and strategy for our Payments Analytics product and our intelligence platform, prioritize accordingly, and create an execution roadmap
  • Deeply understand our users’ needs by spending time with developers, sales, and support, and by observing patterns/trends across their feedback, the market, and our data
  • Build and launch new capabilities and products that bring significant value to customers
  • Set the pace, prioritization and execution for the team
  • Work with a wide range of systems, processes and technologies to own and solve technical and product problems
  • Collaborate with stakeholders across the organization such as Engineering, Design, Data Science, Marketing, Sales, Account Management, and Operations

Who you are

We’re looking for someone who meets the minimum requirements 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:

    • Product Management experience: 10+ years of relevant experience
    • Strong business acumen: You enjoy digging into the details of how a business works, identifying how to make it better, and building product/technical solutions to do so
    • Customer and Partner facing experience: You’re comfortable in front of customers or third-party collaborators, and have experience navigating customer conversations
    • Operational savvy: You are strong operationally, capable of designing and driving a cross-functional team and process
    • Analytical horsepower: You dig deep into the data, think from user first principles, and deliver the right results
    • Crisp communicator: High attention to detail including precise and effective communications, including with external customers/partners
    • Results-oriented: You enjoy doing whatever it takes to execute on complex projects

How we rate this

Staff Product Manager, Payments Intelligence at Stripe rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementData AnalysisPaymentsRoadmap PlanningPythonSQL

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$178k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where data analysis was part of your work. What did you do?
  3. Tell me about a project where payments was part of your work. What did you do?
  4. Tell me about a project where roadmap planning was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Product Management, Data Analysis, Payments, Roadmap Planning, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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