Our long-term vision is Efficient Intelligence : AI that learns using fewer resources, generalizes from less data, and reasons through structure rather than scale. To reach that, we are first building the Foundational Data Systems that make structured AI possible.

The Mission AI today is limited not only by model design but by the inefficiency of the data that feeds it. At scale, each redundant byte, each poorly organized dataset, and each inefficient data path slows progress and compounds into enormous cost, latency, and energy waste.

Granica’s mission is to remove that inefficiency. We combine new research in information theory , probabilistic modeling , and distributed systems to design self-optimizing data infrastructure: systems that continuously improve how information is represented and used by AI.

This engineering team partners closely with the Granica Research group led by Prof. Andrea Montanari (Stanford), bridging advances in information theory and learning efficiency with large-scale distributed systems. Together, we share a conviction that the next leap in AI will come from breakthroughs in efficient systems, not just larger models.

What You’ll Build And Lead

• Own the roadmap for Foundational Data Systems: the substrate that powers data efficiency across enterprise AI workloads.
• Turn scientific ideas and engineering breakthroughs into products that ship, scale, and show measurable impact.
• Prototype fast, validate directly with petabyte-scale design partners, and refine through real-world feedback loops.
• Launch self-optimizing data systems that automate schema evolution, cost control, and performance tuning.
• Define success with hard metrics: storage savings, compute efficiency, and time-to-insight.
• Work cross-functionally with Research, Engineering, and Go-to-Market to move from idea to production in rapid, iterative cycles.
• Shape Granica’s product culture with clear thinking, fast execution, and continuous learning.

What You Bring

• 5+ years of experience as a product manager in AI, data infrastructure, or distributed systems.
• Proven record of shipping technically complex products in fast-moving environments.
• Strong technical fluency — you can discuss architecture, understand APIs, and reason about trade-offs.
• Ability to convert deep research into simple, high-impact products.
• Bias toward speed, action, experimentation, and measurable results.
• Skill in storytelling — driving clarity that aligns teams and inspires customers.
• Curiosity about data efficiency, learning systems, and the economics of intelligence.

Bonus

• Experience with open data formats (Delta, Iceberg, Parquet).
• Exposure to distributed compute (Spark, Flink) or data-optimization systems.
• Familiarity with enterprise AI workflows or model lifecycle platforms.

Why Granica

• Fundamental Research Meets Enterprise Impact. Work at the intersection of science and engineering, turning foundational research into deployed systems serving enterprise workloads at exabyte scale.
• AI by Design. Build the infrastructure that defines how efficiently the world can create and apply intelligence.
• Real Ownership. Design primitives that will underpin the next decade of AI infrastructure.
• High-Trust Environment. Deep technical work, minimal bureaucracy, shared mission.
• Enduring Horizon. Backed by NEA, Bain Capital, and various luminaries from tech and business. We are building a generational company for decades, not quarters or a product cycle.

Compensation & Benefits

• 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

Join us to build the foundational data systems that power the future of enterprise AI. At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring.

Compensation Range: $160K - $250K