Product Manager – Large Tabular Models

The role

This person will own product direction, roadmap, prioritization, and execution for Large Tabular Model products. They will work with researchers and engineers to turn model capabilities into products that solve enterprise problems.

What you will do

• Own product direction, roadmap, prioritization, and execution for Large Tabular Model products
• Identify high-value customer problems where LTM capabilities create a meaningfully better solution
• Work directly with customers to understand workflows, pain points, and adoption barriers
• Partner with researchers and engineers to turn emerging model capabilities into product requirements and experiments
• Build feedback loops across customer usage, product metrics, evaluations, and model improvements
• Drive products from idea to prototype to launch and iteration
• Translate technical improvements into measurable customer and economic value

Required qualifications

• 5+ years of hands-on Product Management or equivalent product ownership
• Track record of taking technically complex products from ambiguous problem to launch and iteration
• Strong technical judgment and ability to work directly with researchers and engineers
• Strong product judgment and customer orientation
• Experience using metrics, experiments, evaluations, or product telemetry to guide decisions
• Comfort operating in a highly technical 0→1 environment
• Experience with AI/ML products, search/retrieval, developer platforms, data infrastructure, analytics, or other technically complex systems

Nice to have

• Experience with structured, relational, or tabular data
• Experience building products on top of foundation models or other ML systems
• Background in engineering, ML, data science, or another technical discipline
• Ability to prototype directly using code, data, APIs, or AI tools
• Strong enterprise and commercial instincts
• Experience from AI products and model-powered applications
• Experience from Snowflake, Databricks, AWS, Google Cloud, Microsoft, or similar data platforms
• Experience from OpenAI, Anthropic, Google, Meta, or similar AI organizations
• Experience from Search, recommendation, ranking, forecasting, risk, fraud, or decision systems
• Experience from Developer platforms, ML infrastructure, and technically complex APIs

Benefits

• Competitive salary
• Meaningful equity
• Performance bonus for top performers
• 401(k) with company match
• Comprehensive health coverage
• Unlimited PTO
• Daily catered meals in our Mountain View office
• Support for research, publication, and conference participation

About the company

Granica helps enterprises run AI for less, from the data layer to agent execution. The company builds across three layers: Crunch, Large Tabular Models, and Myelin.