Data Program Manager

About the role

Odyssey is an AI lab pioneering general-purpose world models: causal, multimodal systems that learn to predict and interact with the world over long horizons, while generating real-time, interactive simulations from any starting point. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond.

Responsibilities

• Run at data plans with loose requirements from research. Turn fuzzy and disparate data requests into scoped, sequenced acquisition plans with quality bars, timelines, and clear data parameters.
• Manage a multitude of vendors across verticals and data types, maintain relationships and negotiate commercials favorable to Odyssey.
• Manage the human teams (experience with contractors a big plus) that acquire proprietary data and establish and ensure quality measures.
• Stand up and own the weekly data-needs review and forecast. Force-prioritize when necessary and surface the trade-offs to leadership.
• Embed in research planning. Flag data risks four to six weeks ahead of when they would hit a model run.
• Define and track quality and throughput metrics across active data programs. Redline and QA batches that slip and close the loop with vendors.
• Partner with researchers on data requirements while also running independently at frontier data mix delivery.
• Drive program retrospectives-what data moved which evals, at what cost, and what we should repeat.

Requirements

• 5+ years of program or product management at a technical company, with at least two of those years in an AI, ML, or data-intensive context.
• You can read ML papers without flinching; you don't need to derive the math, but you understand what the research is trying to prove and what data would support it.
• Working knowledge of SQL and basic data analysis. You can pull your own numbers when needed.
• Real experience negotiating with external vendors and pushing costs down.
• You can run a tight standup, keep clean docs, and finish things.
• Comfort saying "no" to a researcher; better at saying "yes, by week six, here's the plan".
• Track record of driving cross-functional programs at velocity in environments where priorities change weekly.
• Bonus
• Experience as a TPM or program manager at a frontier AI lab.
• Background working with data labeling, human-data collection, or RLHF programs at scale.
• Familiarity with AI evaluation methodology or rubric design.
• Prior experience as the first X hire at an early-stage company.

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