What the work is
Role Overview
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.
Who gets hired
- Experience: 6+ years of professional experience in technical enablement, pre-sales engineering, technical product marketing, or applied research consulting.
- Domain Fluency: Strong conceptual understanding of scientific benchmarks, algorithmic problem-solving, and the mechanics of LLM reasoning/evaluations.
- Communication: Exceptional, near-native English verbal and written communication with a demonstrated track record working with US-based engineering leaders, research scientists, and commercial teams.
Responsibilities
- Pipeline Tracking: Maintain deep, real-time visibility into active dataset pipelines across all frontier science and math teams.
- Collateral & Sample Packaging: Collate sample packs, technical collateral, schema definitions, and benchmark comparisons to clearly communicate dataset value.
- Commercial Enablement & Training: Coordinate regular deep-dives for client-facing teams, introducing new offerings and highlighting customer value propositions.
- Sell-Through Performance Tracking: Drive multi-client monetization, identify under-utilized datasets, and track/report on sell-through performance metrics.
Education & Experience
- Bachelor’s or Master’s degree in Mathematics, Physics, Chemistry, Computational Biology, Computer Science, or a related discipline.
- Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.
Offer Details
- Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
- Engagement type: Contractor
- Engagement Length: 8 weeks
Evaluation Process -
- Shortlisted candidates will be sent a Job Interest Form.
- Final selected candidates will be contacted with the next steps and onboarding requirements.
Pay
See listing, fully remote. How payouts and tax work.
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