About the role
We are seeking a Dataset Enablement Manager to bridge the technical gap between scientific data pipelines and centralized commercial teams. In this role, you will package complex technical datasets into high-impact collateral, educate client-facing teams on domain-specific benchmarks, and drive the multi-client sell-through of our OTS dataset portfolio to leading global AI labs. Main tasks listed: Pipeline Tracking & Visibility: Maintain real-time oversight of active dataset pipelines across all frontier science, math, and scientific software engineering teams; Technical Collateral & Sample Packaging: Assemble production-grade sample packs, schema definitions, benchmark comparisons, and technical documentation to effectively showcase dataset quality; Commercial Enablement & Training: Lead regular deep-dives and training sessions for sales, account, and solutions teams to communicate value propositions, methodology, and target LLM use cases; Sell-Through Performance & Monetization: Track multi-client utilization metrics, identify under-monetized dataset assets, and drive performance reporting to maximize commercial sell-through.
Experience
Experience: 6+ years of professional experience in technical enablement, pre-sales engineering, technical product marketing, or applied research consulting; Domain Fluency: Strong conceptual foundation in scientific benchmarks, algorithmic problem-solving, and LLM evaluation and reasoning mechanics; Communication: Exceptional written and verbal English communication, with a proven track record collaborating directly with US-based research scientists, engineering leads, and commercial executives; Analytical & Collateral Skills: Hands-on experience structuring technical documentation, schema specs, and performance dashboards for technical audiences
Selection process
Apply through the official Turing page (free account required). The listing does not describe further selection steps.
Eligibility
Not stated on the listing (remote)