Engineering Manager, Margin
Robinhood · Toronto, Canada
Experience: Lead
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated
24 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. As the Engineering Manager for the Margin team, you will be at the forefront of innovation for Robinhood's essential suite of Margin offerings. This highly dynamic role involves collaboration with product, data, and other engineering teams. The features delivered by this team are among the highest leverage within the company, directly contributing to generating
00s of millions in revenue. This role is based in our Toronto office, with in-person attendance expected at least 5 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 and empower your team: Provide technical and strategic leadership, mentoring engineers, and nurturing a culture of collaboration and innovation. Drive product excellence: Work closely with product managers, designers, and other teams to define and implement a roadmap for seamless payment experiences. Develop new features: Build and optimize solutions for global markets, ensuring they are intuitive and reliable. Promote standard methodologies in