Product Manager — Research, Structured AI & Research Systems

About Granica

Granica is an AI research and infrastructure company focused on reliable, steerable representations for enterprise data.

We earn trust through Crunch
, a policy-driven health layer that keeps large tabular datasets efficient, reliable, and reversible. On this foundation, we’re building Large Tabular Models
—systems that learn cross-column and relational structure to deliver trustworthy answers and automation with built-in provenance and governance.

Location: Downtown Mountain View, CA (office-based, five days a week)
Team: Research & Applied Systems

Granica’s Research team is advancing foundational work in:

• Tabular data learning and large tabular models

• Structured and relational representation learning

• Compression-aware and efficiency-driven AI

• Hybrid symbolic, relational, and neural systems

• The intersection of information theory, learning theory, and large-scale systems
  

These efforts are tightly coupled with real production systems operating over petabytes of enterprise data.

The mission of the Research Product Manager is to ensure this work moves forward coherently, efficiently, and at scale
—connecting people, ideas, compute, and systems so that breakthrough research becomes durable capability.

• Own and coordinate complex, multi-threaded research initiatives spanning theory, data, infrastructure, and applied systems.

• Ensure programs are well-scoped, milestones are clear, and progress is visible without slowing scientific velocity.

• Turn technical ideas into concrete plans: timelines, dependencies, resourcing, and success criteria.

• Help research teams move from exploration to validated results to system integration.

• Work closely with Research Scientists, Applied AI engineers, and Systems teams to align experimental work with real-world constraints.

• Support the path from novel algorithms and models—especially in structured and tabular domains—into production environments.

• Build and maintain compute and resource roadmaps across research programs.

• Identify bottlenecks, trade-offs, and opportunities to improve utilization and iteration speed.

• Collaborate across research, infrastructure, product engineering, legal, and business teams as needed.

• Ramp quickly into new technical domains and help teams stay aligned as priorities evolve.

• Synthesize progress across diverse technical efforts and communicate clearly to leadership and stakeholders.

• Ensure the right information reaches the right people at the right time.

• Background in computer science, AI, mathematics, physics, engineering, or a closely related field.

• Experience in research program management, technical product management, or a similar role operating in highly technical environments.

• Comfort engaging deeply with researchers and engineers on complex technical topics.

• Experience working with or within a research lab (academic or industrial).

• Familiarity with modern AI research workflows, including experimentation, evaluation, and large-scale training.

• Ability to abstract at a high level while also diving into details when needed.

• Strong written and verbal communication, especially around technical progress and trade-offs.

• Master’s or PhD in a relevant technical field.

• Publications or direct contributions to AI research (e.g., modeling, data, evals, systems, or related areas).

• Experience supporting research in structured data, tabular models, or system-aware ML.

• Demonstrated ability to learn new technical domains quickly.

Granica is building foundational technology with a long horizon. The research happening here—particularly in structured and tabular AI—is aimed at reshaping how intelligence is built and applied across the global economy.

As a Research Product Manager, you will:

• Enable breakthrough research to happen faster and land harder.

• Help define how frontier ideas become real systems.

• Play a central role in…