About the role
About Deeptune Deeptune builds training gyms for AI agents: high-fidelity simulation environments where AI learns to do real work through reinforcement learning. We work with the leading AI labs to help them train the next generation of agentic models, and our environments have already contributed to recent breakthroughs in computer use, code generation, and multi-step task completion. We're a ~20-person team of engineers and operators from Anthropic, Scale AI, Palantir, Hebbia, Glean, and Retool, based in-person in New York City. We recently raised a $43M Series A led by Andreessen Horowitz, with participation from 776, Abstract Ventures, and Inspired Capital. If you want to work on the hardest problems at the intersection of reinforcement learning and real-world AI deployment, we'd love to hear from you. Read more: Fortune exclusive on our Series A | a16z: Why we're investing in Deeptune
About
the Role We're looking for a Strategic Projects Lead to own and scale the data operations that power frontier AI training. This is a high-ownership role for someone with strong agency, comfortable making decisions with incomplete information, and capable of building processes that hold up under pressure. As an SPL, you will own projects end-to-end, from scoping through final delivery. You'll be responsible for managing a distributed team, forecasting timelines, meeting throughput targets, and maintaining a high bar for everything that ships. You'll face ambiguous problems and are expected to solve them in ways that scale across the org. Your work will directly shape frontier models and how they're deployed. What you’ll do Own delivery end-to-end: You’re accountable for data delivery end to end, including deadlines, throughput, and quality Solve ambiguous problems: When you find a broken or inefficient process, you will build a scalable solution that the whole org will benefit from Build and lead contributor teams: Recruit, train, and manage a distributed workforce; turn new hires into high performers Partner cross-functionally: Work closely with our engineers to scope technical