Lead a team of engineers in enhancing Stripe's risk management features to improve merchant experiences.
Skills & Technologies
Role intensity
10% coding — mostly leadership/strategy
Requirements
- Experience
- 3+ years
Joblaze summary
The Machine Learning Engineering Manager for Fraud Detection at Stripe leads a team focused on enhancing risk management systems to improve merchant experiences. This role requires a strong background in engineering management and machine learning, emphasizing collaboration with various teams to drive strategic initiatives. Ideal candidates are experienced leaders who can balance technical excellence with customer empathy, and who thrive in a dynamic, cross-functional environment. Stripe's commitment to innovation in financial infrastructure makes this a pivotal position within the company.
Joblaze insights
- Listed 10 days ago on Joblaze — tracked directly from Stripe's career page.
- Stripe has 567 other open roles including Account Executive, Enterprise Platforms, Tier 2 Grower, Account Executive, Product Sales - Money Management ASEAN, Account Executive, Product Sales- Money Management ANZ.
- 281 active Machine Learning roles on Joblaze right now.
- 31 active Risk Management roles on Joblaze right now.
- Typical Machine Learning salary we track runs $150,888–$240,000 (median $192,100, across 188 roles).
Quick facts
- Is the Machine Learning Engineering Manager - Fraud Detection role remote?
- It's hybrid — Stripe expects some on-site time in N/A.
- How much experience is required?
- At least 3 years of relevant experience for this Machine Learning Engineering Manager - Fraud Detection role.
- Where is the role based?
- Stripe is hiring for this position in N/A.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Machine Learning, Risk Management.
- What seniority level is this role?
- Stripe targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Machine Learning Engineering Manager - Fraud Detection role at Stripe.
From the 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