Head of Frontier Data - STEM

STEM degree (CS, Math, Stats, EE, or related). Advanced degree preferred. 10+ years in data/ML/analytics or data product roles. 4+ years leading managers/leads in high-growth environments. Deep command of the data lifecycle for AI systems: sourcing, labeling, synthesis, QA, evals, and deployment feedback loops. Hands-on fluency with Python/SQL and modern data/ML stacks (cloud object stores, distributed compute, labeling/QC systems, experiment/eval frameworks). Track record of turning research into shippable data products and measurable quality lift. Experience with RLHF/RLAIF pipelines, multimodal data, agents/tool use, and safety evaluations (Nice to Have). Built or operated human-in-the-loop programs at scale (onshore/offshore) with rigorous QA (Nice to Have). Familiarity with data licensing, IP, and safety/privacy constraints for AI training (Nice to Have).

Own the strategy, team, and execution for frontier-grade data. Build the organization and keep on the bleeding edge of data methods. Ship proactive, off-the-shelf data packs and tooling. Engage with leading LLM labs to advance LLMs across STEM domain. Engage with STEM experts to generate AGI advancing data. Define what constitutes good STEM data and data quality rubric. Drive data generation operations. Build a team of Strategic Project Leads (SPL) and oversee data generation workstreams. Set headcount plans, budget, vendor strategy, and capacity models. Understand SFT/RLHF/RLAIF/Evals methodology. Define and refine quality definitions and measurement. Produce offering collateral and internal research briefs. Own roadmap and production of off-the-shelf data packs. Drive cross-company learning. Stand up proactive data generation (human + synthetic), QC tooling, dashboards, and auto-checks. Lead fast PoV cycles with customers. Systematically implement feedback from Frontier Data Managers and Sales.