Research Product Lead, AI Systems for Enterprise Data

Granica Computing, Inc.; San Francisco (CA); Sur place; USD 140 000 - 200 000; Plein temps

Avantages offerts par ce poste

Equity

Performance bonus

Health coverage

Daily catered meals

Résumé du poste

Granica Computing, Inc. is hiring a Research Product Manager to turn frontier AI research into practical enterprise data products.

You’ll operate at the intersection of AI/ML systems, data, research, and product, shaping how models learn from real-world data and how research becomes production systems. You’ll work directly with researchers and engineers to translate ambitious ideas into scalable products and measurable business value, joining a team pushing the boundaries of structured data

Qualifications

• 5+ years of product leadership or equivalent technical ownership in AI/ML, data systems, infrastructure, or applied research
• Strong technical judgment and 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

Responsabilités

• Define product direction for AI systems that learn from structured and relational data
• Partner with researchers to translate new model capabilities into production systems
• Define how model quality and emerging capabilities are evaluated
• Identify enterprise ML problems that can move from task-specific models toward shared intelligence
• Connect AI systems with enterprise data platforms, warehouses, and lakehouses
• Translate model improvements into measurable customer and economic value
• Drive research from experiment → system → product → customer value
• Shape the roadmap around the highest-value enterprise problems

Connaissances

AI/ML systems

Data systems

Product leadership

Research collaboration

Structured data

Description du poste

Granica Computing, Inc. is hiring a Research Product Manager to turn frontier AI research into practical enterprise data products.

You’ll operate at the intersection of AI/ML systems, data, research, and product, shaping how models learn from real-world data and how research becomes production systems. You’ll work directly with researchers and engineers to translate ambitious ideas into scalable products and measurable business value, joining a team pushing the boundaries of structured data