Research Product Manager – AI Systems
Granica · Bay Area Office
CHECKED 3H AGO
Infrastructureonsitesenior$160k–$240k
At a glance
Highlights
- Turn frontier AI research into production systems for enterprise data.
- Build models that learn deeply from structured, relational enterprise data.
- Define how model quality and emerging capabilities are evaluated.
What they offer
- Meaningful equity and performance bonus
- 401(k) with company match
- Comprehensive health coverage and unlimited PTO
- Daily catered meals in Mountain View office
- Support for research, publication, and conference participation
Ideal candidate
Product leader with deep technical judgment who thrives in ambiguous 0→1 research environments and cares about turning ambitious AI systems into real enterprise value.
Requirements
- 5+ years of product leadership or equivalent technical ownership in AI/ML, data systems, infrastructure, or applied research
- Strong technical judgment with ability to work directly with researchers and engineers
- Experience taking complex technical products or systems from concept to production
- Ability to reason about quality, performance, cost, and real-world outcomes
- Experience in model evaluation, training, post-training, inference, structured/tabular ML, data platforms, or applied ML systems
- remote policy
- On-site, five days per week
Lab profile
About Granica
Builds efficiency and intelligence layer for enterprise AI on massive structured data
What they build
- Crunch for lakehouse optimization
- Large Tabular Models (LTMs) for structured data
- Myelin for efficient AI agents
Known for
- Exabyte-scale enterprise data infrastructure
- Foundation models for tabular data
- Diffusion-based generative modeling
Key facts
- Headquartered in Mountain View, CA