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Machine Learning Engineering Manager - Fraud Detection
Stripe is hiring for the role of Machine Learning Engineering Manager - Fraud Detection, N A (On-site). This is a Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with 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 and risk strategists
Be actively involved in strategic direction and platform decisions that impact all of Stripe and Stripe customers strong
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 and 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 strong
Location and market context
This role is based in N A on-site. Local candidates benefit from being close to Stripe's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About governance roles
Governance roles design the structures, policies, and oversight that keep complex programs accountable, coordinating across legal, risk, compliance, and technology. Roles like this one are typically evaluated against frameworks such as governance frameworks, policy standards, and oversight and reporting practices.
How to position yourself for this governance role
Strong candidates emphasize policy and standard-setting, committee and stakeholder coordination, oversight reporting, and translating strategy into durable operating structures. In your resume and outreach, tie your experience to how Stripe would apply governance frameworks, policy standards, and oversight and reporting practices, and lead with concrete outcomes rather than duties.
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