Product Manager — Research, Structured AI & Research Systems
About The Position
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. 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.
Requirements
- 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.
- 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.
Nice To Haves
- Experience working with or within a research lab (academic or industrial).
- Familiarity with modern AI research workflows, including experimentation, evaluation, and large-scale training.
- 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.
Responsibilities
- Drive Research Programs End-to-End
- Translate Research into Execution
- Operate at the Research–Systems Boundary
- Resource & Compute Planning
- Cross-Functional Alignment
- Communication & Synthesis
Benefits
- Comprehensive health, dental, and vision coverage
- Flexible PTO and parental leave
- Relocation support as needed
- Support for deep technical work, research collaboration, and long-term growth
- Competitive salary, meaningful equity, and substantial bonus for top performers
- Flexible time off plus comprehensive health coverage for you and your family
- Support for research, publication, and deep technical exploration
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
