Research Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Research Product Manager (AI): Defining the capability roadmap for foundational models to accelerate scientific discovery with an accent on model performance, evaluation criteria, and production readiness. Focus on synthesizing cross-functional signals into measurable requirements and ensuring research breakthroughs translate into real-world scientific impact.
Location: Must be based in Cambridge, MA or San Francisco, CA
Salary: $204,000 - $310,000 USD
Company
is an AI-first research organization building Scientific Superintelligence™ to autonomously execute the scientific method across medicine, materials, and energy.
What you will do
- Own the capability roadmap for core foundational models, prioritizing release targets with defensible rationales.
- Translate input from science and commercial teams into concrete, measurable model requirements.
- Analyze competitive and frontier models to identify capability gaps and inform roadmap decisions.
- Define evaluation criteria and success metrics to determine when target capabilities are achieved.
- Establish gating criteria for promoting models to production environments.
- Partner with research leads to sequence capability work against compute, data, and timeline constraints.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field or equivalent hands-on experience.
- Proven product management experience for AI/ML products, ideally in a scientific domain.
- Strong understanding of how foundational models are trained, evaluated, and released.
- Track record of translating stakeholder needs into clear, measurable requirements.
- Experience defining release criteria and quality gates for production systems.
- Excellent written and verbal communication skills for driving cross-functional decisions.
Nice to have
- Experience with foundation models, frontier models, or AI platforms.
- Background in AI-first research, life sciences, or materials science.
- Familiarity with model evaluation methodologies and benchmarking infrastructure.
- Comfort operating in fast-moving, early-stage research environments.
Culture & Benefits
- Comprehensive medical, dental, and vision coverage.
- Employer-paid life and disability insurance.
- Flexible time off with generous company-wide holidays.
- Paid parental leave and educational assistance program.
- Commuter benefits and company-subsidized lunch program.
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