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Engineering Manager, Machine Learning - Fraud Detection

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Apply at Stripe

What you’ll work on

Full posting
  • Recruit, hire, scale and develop a team of engineers

  • Support delivery of high-quality APIs, user-facing experiences, services and systems

  • Work cross-functionally with leadership, product, infra and risk strategists

  • Shape strategic direction and platform decisions affecting Stripe and its customers

From the employer’s posting
Recruit, hire, scale, and develop an amazing team of engineers
Support the team in delivering a high level of technical quality and impact via APIs, user-facing experiences, services, and systems
Executing cross-functionally with leadership, product teams, infra teams & risk strategists
Be actively involved in strategic direction and platform decisions that impact all of Stripe and Stripe customers

What you’ll bring

All qualifications

Core experience

  • At least 3 years of engineering management experience
  • Prior experience as a Machine Learning Engineer or equivalent
Qualification wording
At least 3 years of engineering management experience
Prior experience as a Machine Learning Engineer or equivalent

About Stripe

Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.

In the employer’s words · Read in context

Posting record

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Open 3 monthsWe first saw this listing 97 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 20, 2026 · 97 days ago
Recorded sightings
212
Last seen by us
Oct 25, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on stripe.com. The employer’s form will show what is required.

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Job description

View original posting ↗

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

Risk Detection is focused on providing a delightful experience for our merchants and minimizing friction, while ensuring the safety of our users in the financial ecosystem. Whenever the Risk team takes action on an account, we work to notify Merchants and provide clear status on what’s happening, enable guided workflows for resolving their issues, and redefine our overall Risk processes to make them as smooth as possible for good merchants.

What you’ll do

We’re looking for an engineering leader to lead and grow a strong team of engineers, build relationships with customers internally and externally, and champion our vision of making Stripe’s risk management a feature that attracts and retains merchants, and becomes a product differentiator. This is an exciting opportunity to partner with teams across Stripe to build the best merchant experience, and contribute directly to Stripe’s growth.

Responsibilities

  • Support the team in delivering a high level of technical quality and impact via APIs, user-facing experiences, services, and systems
  • Recruit, hire, scale, and develop an amazing team of engineers
  • Executing cross-functionally with leadership, product teams, infra teams & risk strategists
  • Be actively involved in strategic direction and platform decisions that impact all of Stripe and Stripe customers 

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

  •  At least 3 years of engineering management experience
  • Prior experience as a Machine Learning Engineer or equivalent 

Preferred qualifications

  • You have managed teams that can collaborate with product teams, respond rapidly to customer needs along with building technology and capabilities that are strategic and foundational in nature
  • Enjoy designing, measuring & improving user experience
  • You are empathetic to customer needs but visionary enough to not just deliver a faster horse
  • You are comfortable planning in quarters, and can set a vision for several years
  • You are comfortable working with geographically distributed teams and remote workers 

 

Source details

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- You are comfortable planning in quarters, and can set a vision for several years - You are comfortable working with geographically distributed teams and remote workers
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