Engineering Manager, Machine Learning - Fraud Detection
Stripe is hiring an Engineering Manager, Machine Learning - Fraud Detection. Level rates it ; you can apply on Stripe.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include engineering management, machine learning and fraud detection.
- Level classifies it as a senior role.
- Level lists 764 other open roles at Stripe.
AI in this role
Lead an engineering team focused on machine learning and risk detection systems at Stripe.
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
How we rate this
Engineering Manager, Machine Learning - Fraud Detection at Stripe rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- Tell me about a project where engineering management was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where fraud detection was part of your work. What did you do?
- Tell me about a project where apis was part of your work. What did you do?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: Engineering Management, Machine learning, Fraud Detection, and APIs. 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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