Engineering Manager, Machine Learning

Engineering Manager, Machine Learning ABOUT SENTRY Bad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster so we can get back to enjoying technology. With more than $217 million in funding and 100,000+ organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products. Sentry embraces a hybrid work model across our global hubs, with Mondays, Tuesdays, and Thursdays set as in-office anchor days to encourage meaningful collaboration. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools. ABOUT THE ROLE AI and machine learning are reshaping how developers debug, monitor, and ship software, and Sentry is uniquely positioned to lead that shift. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations — the kind of signal that makes ML genuinely useful, whether it's a clustering model that groups related issues, a ranking system that surfaces the right alert at the right time, or an agent that proposes a fix. We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team. This team owns the full spectrum of ML at Sentry: classical techniques like clustering, ranking, anomaly detection, and embeddings that quietly power core product surfaces today, alongside the LLM-based and agentic systems shaping where the product is headed. You'll partner closely with product, design, and engineering leaders to decide where ML belongs in our products, what kind of ML actually fits the problem, and how we translate that work into experiences millions of developers rely on every day. IN THIS ROLE YOU WILL - Set technical direction across the team's full ML surface area — from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems — and make sharp calls about which approach fits each problem - Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability - Stay hands-on enough to review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems - Define team roadmap and deliverables, scope work, allocate resources, and keep execution on track against ambitious goals - Partner with product managers, designers, and engineering leaders across Sentry to identify the highest-impact opportunities for ML in our products - Foster career growth for the engineers on your team, and recruit exceptional ML talent as the team scales YOU'LL LOVE THIS ROLE IF YOU - 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 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 - Are driven by impact and want to lead a team working on high-stakes, high-visibility projects - 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 - Care deeply about growing the engineers around you and finding opportunities for them to do the best work of their careers QUALIFICATIONS - 8+ years of professional engineering experience, with significant time spent building and shipping machine learning systems in production - 3+ years of engineering management experience, ideally leading ML, AI, or data-focused teams - Familiarity with deploying and operating ML models at scale, including ev ... (truncated, view full listing at source)