Stripe8535 Risk Credit & FraudRemote

Engineering Manager, Machine Learning - Fraud Detection

N/AFull-timeMid-LevelSalary: Not disclosed
Posted Sep 4, 2026Deadline: Keep Open
Job SnapshotActively hiring
LocationN/A
Job typeFull-time
SalaryNot disclosed
DeadlineKeep Open

Finjobsly Role Intelligence

Experience level
Mid-Level
Work style
Remote
Visa sponsorship
Not specified
Salary
Not disclosed
Key skills
PaymentsFraudRisk ManagementMachine Learning

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Company insights

40

Happiness score

40/100

Based on 30 verified employee signals

Stripe reports 41% first-half revenue growth

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mid-2026From the webAxios

Stripe appoints Eileen O'Mara vice chair and Tyler Bryson CRO

Stripe named former chief revenue officer Eileen O'Mara vice chair and promoted Tyler Bryson, who joined in 2025 after more than two decades at Microsoft, to chief revenue officer.

mid-2026From the webStripe Newsroom

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Stripe's launches included Link wallets for AI agents, an expanded Agentic Commerce Suite, stablecoin-backed cards in 30 countries, and broader access to its Managed Payments product.

spring 2026From the webStripe Blog

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Stripe signed a tender offer backed mainly by Thrive Capital, Coatue, Andreessen Horowitz and other investors, providing employee liquidity at a $159 billion valuation.

early 2026From the webStripe Newsroom

AI Generated Insights

Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Lead and grow a team of engineers focused on fraud detection, delivering high‑quality APIs, services, and user‑facing experiences while shaping strategic platform decisions.

What they're looking for

At least 3 years of engineering management experience and a background as a Machine Learning Engineer, with the ability to collaborate cross‑functionally and work with distributed, remote teams.

Why this role matters

The role drives Stripe's risk management capabilities, turning fraud detection into a product differentiator that enhances merchant experience and supports the company's growth mission.

Fintech requirements

Visa sponsorship: No
Work arrangement: remote

About this role

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 

 

More about this role

About company

Required skills

PaymentsFraudRisk ManagementMachine Learning