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Engineering Manager, Machine Learning - Fraud Detection

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

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

Apply at Stripe

Posting record

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Open 3 monthsWe first saw this posting 117 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, 2026117 days ago
Recorded sightings
284
Last seen by us
Nov 14, 2026

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

How this job compares

Time since we first saw it

Day 117

Up longer than most. Similar jobs usually come down between day 8 and day 57.

At Stripe, jobs usually come down by about day 60.

From 9,496 similar postings that came down, and 46 of Stripe’s. Coming down is not always a hire.

Stripe is hiring

35 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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Your next step

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

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

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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