Product Manager – Lakehouse Systems

Reposted Yesterday
Mountain View, CA
In-Office
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
Better Data for Better AI
The Role
As a Product Manager, you'll translate advanced research into scalable data infrastructure, driving product cycles from ideation to rollout for high-growth AI/ML and data platform companies.
Summary Generated by Built In

Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack—where raw information becomes usable intelligence. Our technology operates deep in the data infrastructure layer, making data efficient, secure, and ready for scale.

We eliminate the hidden inefficiencies in modern data platforms—slashing storage and compute costs, accelerating pipelines, and boosting platform efficiency. The result: 60%+ lower storage costs, up to 60% lower compute spend, 3× faster data processing, and 20% overall efficiency gains.

Why It Matters
Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics back—making data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills.

Who We Are

  • World renowned researchers in compression, information theory, and data systems

  • Elite engineers from Google, Pure Storage, Cohesity and top cloud teams

  • Enterprise sellers who turn ROI into seven‑figure wins.

Powered by World-Class Investors & Customers
$65M+ raised from NEA, Bain Capital, A* Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our platform already processes hundreds of petabytes for industry leaders

Our Mission: We’re building the default data substrate for AI, and a generational company built to endure.

A Deep Tech Approach to AI

We combine advanced research with practical productization, powered by a dual-track strategy:

  • Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1–2 top-tier papers per quarter.

  • Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025.

WHAT YOU’LL DO

You’ll be Granica’s hands-on product builder—translating frontier research into real, scalable infrastructure used by the world’s most data-intensive companies. You’ll lead high-velocity product cycles from idea to lab demo to enterprise rollout, owning both vision and execution.

  • Drive the end-to-end arc from 0 → 1 → 100: translate scientific breakthroughs into working products that deliver measurable customer value

  • Prototype quickly with tools like Claude-Code, ChatGPT/Codex, Cursor, V0, Python, TypeScript, Rust—whichever slashes demo time from weeks to hours

  • Define and launch self-optimizing Lakehouse APIs that automate schema governance, cost controls, and performance tuning

  • Build with and for design partner customers at PB scale—beat ambitious benchmarks and make the results visible

  • Instrument real impact, not fluff—optimize for $/TB saved, p99 latency, and customer NPS

  • Champion open standards and ecosystems like Delta, Iceberg, and Parquet

  • Collaborate tightly across research, engineering, and go-to-market to tell the story, write crisp PRDs, and compound value weekly

  • Lay the foundation for a world-class PM org—mentor, hire, and scale the next generation of builder-PMs

WHAT WE’RE LOOKING FOR

  • 5+ years of experience as an individual contributor PM in high-growth infra, AI/ML, or data platform companies

  • Proven track record turning deep R&D or engineering work into successful products at scale

  • Highly technical; can prototype, talk shop with researchers, and inspire engineers with clarity and energy

  • Obsessive about impact metrics and shipping product that moves them

  • Strong storyteller—can distill complex ideas into customer value and team alignment

  • Experience working with open-source data standards or contributing to OSS ecosystems is a plus

  • Passion for creating leverage: speed, savings, safety, and simplicity at petabyte scale

WHAT SETS GRANICA APART

  • Core Differentiation: We’re focused on unlocking a deeper layer of AI infrastructure. By optimizing the way data is stored, processed, and retrieved, we make platforms like Snowflake and Databricks faster, more cost-efficient, and more AI-native. Our work sits at the most fundamental layer of the AI stack: where raw data becomes usable intelligence.

  • Real Impact: Our customers see 60%+ savings in storage, 60%+ lower compute costs, and 3x faster processing, all while improving data privacy and model performance.

  • Proven Product, Zero Hype: We scaled to multimillion-dollar ARR without a dedicated sales team—just product pull and ROI.

  • Engineering-First Culture: You’ll work with world-class engineers and researchers, shipping core infra that impacts how data is used at petabyte scale.

  • Velocity with Rigor: Weekly releases, deep mentorship, open design culture, and high technical standards across the board.

COMPENSATION & BENEFITS

  • Competitive salary and meaningful equity

  • Unlimited PTO + quarterly recharge days

  • Premium health, vision, and dental

  • Team offsites, deep tech talks, and learning stipends

Granica is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Top Skills

Chatgpt/Codex
Claude-Code
Cursor
Delta
Iceberg
Lakehouse Apis
Parquet
Python
Rust
Typescript
V0
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The Company
HQ: Mountain View, California
37 Employees
Year Founded: 2023

What We Do

Massive-scale data should be an asset — not a liability.

At Granica, we’re building a state-of-the-art AI efficiency, data optimization and compression platform designed to make cloud-scale data cheaper, faster, safer and more intelligent.

As enterprises generate and store unprecedented volumes of data, traditional infrastructure can’t keep up — costs explode, performance lags, and privacy becomes harder to enforce. Granica changes that. We sit beneath the lakehouse — optimizing the data itself through advanced lossless compression, intelligent data selection, and built-in privacy preservation. Our platform enables enterprises to cut cloud data costs by up to 80% while improving performance and reducing operational complexity.

This is deep infrastructure — already deployed in live production environments, operating across hundreds of petabytes of enterprise data.

Why Work With Us

We’re a tight-knit team combining -->

* Fundamental research in compression, data systems, and information theory
* World-class systems engineering across storage, cloud infrastructure, and security
* A shared obsession with performance, scale, and clean design

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Granica Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
HQMountain View, California
India
Learn more

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