---
title: 'People Operations Manager at Granica'
canonical: 'https://feeny.ai/job/people-operations-manager-granica-bay-area-pt66p3r3ty66'
type: 'job'
last_seen: '2026-09-08'
---

# People Operations Manager at Granica

- **Company:** Granica
- **Location:** Bay Area
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-10-22
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/granica/238d4069-9a5a-4e72-894f-561dbee04a48

## Job description

## THE ROLE:

This isn’t a standard People Ops role- it’s an opportunity to build the operating system for a 10x company. As Granica scales from a world-class startup into a generational company, this person will architect the systems, programs, and culture that make that possible.

You’ll own the full employee experience, from onboarding and operations to engagement and development, serving as the connective tissue that helps every Ninja (our teammates) do their best work. You’ll operate as both architect and builder: strategic enough to design for scale, yet hands-on enough to roll up your sleeves daily.

This is a high-impact, in-office role based in Mountain View, blending tactical execution with strategic influence as we grow from ~40 to 80 employees across multiple locations. You’ll partner closely with leadership to ensure our people programs are not only compliant and efficient, but also reflect our values of ownership, curiosity, and excellence.

If you’ve ever admired what Laszlo Bock built at Google in its early years, this is your chance to play a similar role at Granica.

## WHO YOU ARE:

- The ability to work full time out of our new Mountain View office
- 5–8+ years of People Operations or HR experience in a fast-scaling tech company (ideally Series A–C), including 2+ years in a leadership or management role.
- Proven ability to build structure from scratch while staying hands-on in day-to-day execution.
- Knowledge global employment law, compliance, and HR systems
- Experience managing benefits, compensation, and immigration processes
- Exceptional communication skills, with the ability to engage and influence at all levels of the organization
- A systems-oriented, resourceful mindset — you see gaps, design solutions, and move fast.
- Comfort operating in high-velocity, high-ambiguity environments where priorities evolve quickly.
- A player-coach mentality — strategic enough to architect for scale and tactical enough to be hands-on and detail-oriented. Unafraid to dive into execution.
- Deep passion for building a human-centered, high-performance culture where people can do their best work.

## WHAT YOU'LL OWN:

People Strategy & Operations

- Build and maintain the People Ops infrastructure — optimizing systems, data integrity, and processes for efficiency and scale.
- Partner with leadership on organizational design, workforce planning, and change management to support business goals.
- Use people analytics and insights to inform strategic decisions and measure organizational health.
- Ensure HR compliance and documentation across multiple states and global jurisdictions.

Talent Lifecycle Management

- Lead the end-to-end employee lifecycle — from seamless, high-touch onboarding to performance management, mobility, and offboarding.
- Manage performance cycles, including goal-setting frameworks (OKRs/KPIs), calibrations, and reviews.
- Oversee benefits, compensation, and wellness programs, benchmarking regularly to ensure competitiveness and alignment with our values.

Employee Experience & Engagement

- Design and execute programs that foster connection, growth, and long-term retention, turning engagement into measurable impact.
- Partner with the Admin team to bring the culture to life through company events, celebrations, and recognition programs.
- Champion Granica’s culture of ownership, curiosity, and excellence, embedding it into every touchpoint of the employee experience.
- Provide leadership with actionable insights on engagement, retention, and organizational health.

Immigration & Global Mobility

- Manage immigration and sponsorship processes (H-1B, O-1, STEM OPT, TN, Green Card), partnering with legal for compliance and timely filings.
- Support international employees through documentation, onboarding, and relocation logistics.
- Maintain accurate records and proactively manage renewals and compliance across jurisdictions.

## COMPENSATION & BENEFITS

- Competitive salary and meaningful equity
- Unlimited PTO + quarterly recharge days
- Fully covered premium health, vision, and dental
- Lunch & Dinner provided
- Team offsites, deep tech talks, and learning stipends
- Help build the foundational infrastructure for the AI era

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

## COMPENSATION & BENEFITS

- Competitive salary, meaningful equity, and performance bonus for top performers
- 401(k) with company match, comprehensive health coverage, and unlimited PTO
- Daily catered meals in our Mountain View office
- Support for research, publication, and conference participation

At Granica, you'll help build the next generation of enterprise AI—from exabyte-scale data infrastructure, Large Tabular Models (LTMs), and stateful AI agents. Together, we're creating the infrastructure that enables enterprises to own their data, own the intelligence built on it, and scale both efficiently.

## About Granica

## Company Overview
- **One-liner**: Granica builds self-optimizing data infrastructure that compresses enterprise tabular data and enables structured intelligence for AI workloads.
- **Entity Type**: Private (Series A)
- **Headquarters**: Mountain View, California, United States
- **Founded**: 2023
- **Founders**: Not publicly available

## Core Business
- Primary industry/industries: AI Infrastructure, Data Compression, Research Services
- Target customers: Enterprise B2B — SaaS, consumer-internet, healthcare, and transportation companies with petabyte-scale data estates
- Mission or purpose statement: "Turning entropy to intelligence" — building a new class of data infrastructure that makes data estates efficient, reliable, and steerable for AI

## Products & Services
- **[Crunch]**: A self-optimizing, lossless compression layer for structured data (Iceberg, Delta, Trino, Spark, Snowflake, BigQuery, Databricks). Reduces storage by 45–80% and cuts cloud query spend by 15–35%. Deploys inside a customer's VPC with zero code changes and zero downtime. Continuously adapts to query patterns and data drift.
- **[EΣL (Extract, Signify, Load)]**: A reimagining of ETL. During "Signify," the system learns distributions, keys, and temporal drift while storing data, enabling real-time inference over a latent space without scanning cold blocks.
- **[Large Tabular Models]**: In-development systems that learn cross-column and relational structure to deliver trustworthy answers and automation with provenance and governance.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding — $45.0M (Series A, June 2023)
- **Lead Investor**: New Enterprise Associates (led the $45M Series A, with 6 total investors)
- **Notable Investors/Partners**: New Enterprise Associates, plus 5 other undisclosed institutional investors
- **Growth Signals**: 44.4% headcount growth year-over-year (35 employees), LinkedIn followers up 238.9% yearly, active 9 open job postings, deployments ranging from 1 PB to 100+ PB across dozens of enterprise customers

## Competitive Advantages
- **Entropy-aware compression**: Delivers state-of-the-art compression ratios (45–80% byte reduction) that are continuously adaptive to query patterns and data drift, unlike static compression schemes.
- **Zero disruption deployment**: Operates inside the customer's VPC with no code changes, no downtime, and day-zero activation — dashboards show savings before "coffee cools."
- **Research moat**: Foundational research published at NeurIPS 2024 (weighted empirical risk minimization with surrogate data) and ongoing work on statistical theory of data selection under weak supervision. Chief Scientist Andrea Montanari (Stanford) leads the research agenda.
- **Dual value proposition**: Simultaneously reduces storage costs (pennies per GB) and accelerates query latency (petabytes queried like terabytes), while also optimizing LLM token utilization by up to 50%.

## Strategic Focus
- **Near-term**: Scale Crunch adoption across enterprise data lakes, with a focus on Snowflake, Databricks, and BigQuery ecosystems.
- **Medium-term**: Expand from compression into advanced subsampling and safe synthetic data generation, turning any lake into a "self-optimizing data factory."
- **Long-term**: Build Large Tabular Models that enable real-time reasoning over exabyte-scale data without scanning cold blocks — replacing traditional warehouse scans with inferred answers.

## Why Work Here
- **High-impact engineering culture**: 51% of the team is in technical roles, 18% in research — the company is deeply engineering-first and research-driven. Engineers work on foundational data systems for AI at petabyte scale.
- **Cutting-edge ML research**: Opportunity to work alongside a Chief Scientist from Stanford and publish at top venues (NeurIPS 2024). The company is advancing the state-of-the-art in data compression, subsampling, and synthetic data.
- **Remote/hybrid/office policy**: Headquarters in Mountain View, CA (287 Castro Street). Job postings indicate Mountain View is onsite. Also has offices in India (9 employees) and Austria (1 employee).
- **Notable perks**: "Pays for itself" ROI philosophy — the product delivers measurable cost savings to customers. The company is well-funded ($45M Series A) with strong investor backing.
- **Team composition**: Small, high-leverage team (35 people) with alumni from Meta, Salesforce, Dremio, StackRox, UiPath, and Stanford. Alums go on to LangChain, Google, Rippling, Uber, and Temporal Technologies.
- **Active hiring**: 9 open positions including Senior Software Engineer (Foundational Data Systems), Engineering Manager, Research Scientist (Tabular & Structured ML), Staff Software Engineer, and Research Product Manager.

## Sources
1. [granica.ai](https://www.granica.ai/)
2. [granica.ai/about](https://www.granica.ai/about)
3. [LinkedIn](https://www.linkedin.com/company/granica-ai)
4. [PitchBook](https://pitchbook.com/profiles/company/528930-82)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/granica)

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