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Описание вакансии
Текст:
TL;DR
Senior AI Product Manager (AI evaluation and data products): Owning strategy, roadmaps, infrastructure, governance, and customer adoption for AI evaluation portfolios with an accent on trustworthy benchmarking, model measurement, and cross-functional product execution. Focus on designing evaluation methodologies, scaling automation and operational tooling, working with frontier AI labs, and translating model capabilities into new products and revenue.
Salary: $205,600–$257,000 USD annually, plus potential equity and benefits.
Company
Scale AI develops data products and full-stack technologies that support frontier model training, AI evaluation, enterprise adoption, defense applications, and autonomous vehicles.
What you will do
- Own the strategy, roadmap, prioritization, launches, infrastructure investments, and expansion of an AI product portfolio.
- Coordinate product development across AI Product Management, ML Research, Engineering, Operations, and Go-To-Market teams.
- Define the full product lifecycle, from ideation and design through launch, scaling, maintenance, and sunset decisions.
- Develop trustworthy evaluation methodologies, task specifications, scoring systems, grader design, and quality standards with researchers and domain experts.
- Establish governance for evaluation integrity, contamination prevention, reproducibility, auditability, and release management.
- Work with frontier AI labs and enterprise customers to identify model weaknesses, measure adoption and impact, and create new product and revenue opportunities.
Requirements
- 5+ years of experience in product management, technical program management, consulting, or customer-facing technical roles.
- Strong technical fluency in machine learning systems, AI model evaluation, benchmarking, or data products.
- Experience scaling products across engineering, operations, and business teams.
- Strong analytical, stakeholder management, executive communication, and product strategy skills.
- Experience with AI researchers, ML teams, evaluation frameworks, developer tools, or human-in-the-loop data pipelines is preferred.
- For the Coding portfolio: strong software engineering depth and familiarity with coding model training and evaluation, including post-training methods, agentic scaffolds, harnesses, and benchmarks.
Culture & Benefits
- High autonomy, frequent shipping, and hands-on, analytical product work.
- Health, dental, and vision coverage.
- Retirement benefits, a learning and development stipend, and generous paid time off.
- Potential commuter stipend and equity eligibility for eligible roles.
- Inclusive equal opportunity workplace with reasonable accommodations available during the application process.
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