Engineering Manager, Financial Crimes

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the Team + Role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Financial Crimes Engineering team builds and maintains the systems that support Robinhood’s compliance with anti-money laundering (AML) and sanctions regulations. The team builds and operates multiple detection platforms and the supporting tooling experience for all verticals within Financial Crimes—helping prevent misuse of the financial system. We partner closely with Financial Crimes Operations and product engineering teams to design reliable, scalable systems that protect our customers and the broader ecosystem. Our work is central to maintaining trust, meeting regulatory requirements, and strengthening the integrity of our platform.

As an Engineering Manager, FinCrimes, you will lead a team of engineers responsible for building next-generation detection systems along with internal tools and platforms that support best-in-class investigation experience. You will own the end-to-end delivery of our detection platforms, supporting multiple products across jurisdictions. You will also drive detection strategy, case management enablement, and the tooling and operational workflows required to onboard new use cases and support upcoming product launches. This role combines hands-on technical depth with people leadership, and it offers the opportunity to shape how AI and large language models are applied to improve investigation workflows and system performance!

This role is based in our Menlo Park, CA office, with in-person attendance expected at least 4 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Lead, mentor, and grow a team of engineers (IC3–IC5), setting clear goals, providing regular feedback, and supporting career development
• Build a top-tier tooling experience, leveraging AI to streamline workflows, improve analyst efficiency, and accelerate investigation operations.
• Guide onboarding of new financial crimes use cases into our case management systems, ensuring reliability, scalability, and regulatory alignment.
• Contribute to architectural decisions and remain technically engaged in systems built with Golang, Python, AWS, Kubernetes, and SQL-based data stores.
• Partner with Financial Crimes Operations and peer engineering teams to translate regulatory and investigative requirements into technical solutions.
• Establish strong engineering processes across on-call, deployment, and code review practices, maintaining high system availability and quality.

What you bring

• Experience leading and developing engineers in a high-growth technology environment, with a track record of delivering multi-quarter technical initiatives.
• Strong technical depth in backend systems, with hands-on experience in Golang (primary), Python, AWS, Kubernetes, and SQL.
• Experience building or supporting financial crimes, fraud, compliance, or fintech systems; familiarity with AML or sanctions screening workflows is preferred.
• Experience designing and delivering data-intensive systems, ideally including detection platforms, data pipelines, or internal tooling.
• Working knowledge of machine learning or generative AI concepts, with the ability to evaluate and apply them to platform use cases.
• Ability to collaborate effectively with operations, product, and engineering partners to deliver systems that meet regulatory and business requirements.

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$230,000—$270,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$203,000—$238,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$180,000—$211,000 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.