Engineering Manager (Machine Learning)

Join Sentry as an Engineering Manager for our Machine Learning Engineering team. In this role, you will lead and grow the team, set technical direction, define the team roadmap, and partner with product managers, designers, and engineering leaders. You will also foster career growth for your team members and recruit exceptional ML talent. The position offers competitive compensation, benefits, and opportunities for professional development.

• Lead and grow the Machine Learning Engineering team, overseeing the full spectrum of ML techniques and systems.
• Set technical direction across the team's ML surface area, making informed decisions about which approaches fit each problem.
• Define team roadmap and deliverables, scope work, allocate resources, and keep execution on track against ambitious goals.
• 8+ years of professional engineering experience, with significant time spent building and shipping machine learning systems in production
• Care deeply about growing the engineers around you and finding opportunities for them to do the best work of their careers
• Are excited to shape how AI and developer tools come together, and want to define how engineers and coding agents collaborate to find and fix problems
• Familiarity with deploying and operating ML models at scale, including evaluation, monitoring, and iteration in production
• Excellent written and verbal communication; comfortable working across product, research, and engineering
• Have a strong ML engineering background that you use to inform and validate the team's technical decisions, and you're comfortable staying close to the code
• Are driven by impact and want to lead a team working on high-stakes, high-visibility projects
• A research background in machine learning, statistics, or a related field (MS, PhD, or equivalent research experience) is a plus but not a requirement
• Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people who are excited about this opportunity and eager to grow
• 3+ years of engineering management experience, ideally leading ML, AI, or data-focused teams
• Love building things from the ground up — the ML team is still in its early chapters, and there's plenty of greenfield to shape
• Thrive in cross-functional environments and enjoy collaborating across product, design, and engineering to ship great work
• Strong judgment in ambiguous, fast-moving environments