---
title: 'GTM Analytics Lead at Granola'
canonical: 'https://feeny.ai/job/gtm-analytics-lead-granola-san-francisco-ndzyw46ty0bd'
type: 'job'
last_seen: '2026-10-16'
---

# GTM Analytics Lead at Granola

- **Company:** Granola
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-29
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/granola/43f55476-adf1-4e71-aa1f-e678677dd1fa

## Job description

## About Us

We're Team Granola 👋 Granola is an AI-powered notepad for people in back-to-back meetings. What started as a better way to take notes has become a shared workspace that helps teams capture, organize, and act on what matters. We're building a product people genuinely love and are fortunate to work with many of the world's most ambitious companies.

## About the Role

We’re looking for a GTM Analytics Lead to help Granola better understand and scale our go-to-market engine through data. You’ll partner closely with leaders across Sales, Marketing, Customer Success, GTM Operations and Finance to turn important business questions into trusted metrics, clear analysis and turn insights into decisions that drive growth and improve how we operate. This is a deeply hands-on role: you’ll build the dbt models and dashboards behind your work, while partnering with Engineering on the underlying data infrastructure and availability of source data.

## What You’ll Do

- Turn important business questions into actionable analysis. Partner with functional leaders to clarify what they are trying to understand, structure the analysis and communicate clear conclusions and recommended actions.
- Help our Go-to-Market teams understand performance. Develop analysis across the customer lifecycle, including acquisition, pipeline, conversion, revenue, expansion, retention and customer health.
- Build dashboards that help teams make decisions. Create intuitive reporting that gives leaders and operators a clear view of performance and its underlying drivers, while collaborating with GTM Operations and other teams that build reporting across the business.
- Build data models that reflect how Granola operates. Develop and improve our dbt modeling layer, turning data from across our systems into clean, intuitive datasets that support reliable analysis and reporting.
- Create trusted definitions for our core metrics. Partner with teams across Granola to define the metrics that matter, codify those definitions in our data models and improve consistency across dashboards and tools.
- Partner with Engineering on our data foundation. Translate analytical needs into clear data requirements, identify gaps or quality issues and work with Engineering to ensure the data needed by the business is reliable and accessible.

## What We're Looking For

Background & Experience

- 6+ years of experience across go-to-market analytics, business intelligence, analytics engineering or similar roles.
- Significant experience supporting Go-to-Market teams at a high-growth technology company, with a strong understanding of SaaS metrics across acquisition, pipeline, conversion, revenue and retention.
- Expert SQL skills and substantial hands-on experience building and scaling production data models in dbt.
- Experience designing clean, scalable data models that combine information across CRM, billing, product usage and other operational systems.
- Expertise in building intuitive dashboards and self-service reporting in modern BI tools such as Omni, Looker or Tableau.
- A track record of tackling ambiguous business questions through to structured analysis, clear conclusions and recommended actions.
- Skilled at partnering directly with functional leaders and translating between business problems and technical requirements.

## Skills and traits

- Hands-on builder who enjoys creating and improving analytical foundations as the company scales.
- Commercially minded problem solver who can bring clarity to ambiguity and make progress without perfectly defined requirements.
- Collaborative and low ego. You raise the quality of the people and work around you without needing to own everything yourself.
- Clear, concise communicator who can make complicated analysis understandable and move comfortably between technical work and business partnership.

## About the Opportunity

We are living in the most exciting time for tool builders since Engelbart's demo in 1968 and we want to assemble the best crew to build this future together. Our compensation philosophy is to hire the best people in the market and pay them accordingly with salary, variable, and equity. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

## Compensation

$170k - $200k + equity and benefits! Our compensation philosophy is to hire the best people in the market and pay them accordingly with salary, variable, and equity.

## About Granola

## Company Overview
- **One-liner**: Granola is an AI-powered meeting notepad that runs locally on a user’s device, transcribing and generating structured notes from meetings without requiring a visible bot to join the call.
- **Entity Type**: Private (Series C)
- **Headquarters**: London, United Kingdom
- **Founded**: 2023
- **Founders**: Chris Pedregal (CEO) and Sam Stephenson (CTO)

## Core Business
- **Primary industry/industries**: AI-powered productivity software, Meeting Intelligence, Enterprise AI Context Layer
- **Target customers**: Primarily B2B — serving knowledge workers in sales, legal, executive functions, and enterprise teams. Named customers include Vanta, Gusto, Thumbtack, Asana, Cursor, Lovable, Decagon, and Mistral AI.
- **Mission or purpose statement**: "Build tools that help humans better" — the company’s goal is to make meetings more productive without intruding on human connection.

## Products & Services
- **Granola (Core Product)**: An AI notepad for back-to-back meetings. It runs locally on macOS and Windows, captures audio from the user’s computer without a bot joining the call, and uses meeting context (calendar, past notes) to generate Notion-style notes, action items, and follow-ups. Available for iPhone as well.
- **Granola Chat**: Lets users query their entire conversation history using Claude, GPT, or Gemini.
- **Spaces**: Team-oriented feature for organizing, sharing, and searching contextual notes across meetings and channels.
- **Model Context Protocol (MCP) Server**: An API layer that allows other AI tools to query Granola’s meeting context, positioning it as a "context layer" for agentic AI workflows.
- **Enterprise API**: SSO, SCIM, and consent-based data management for large organizations. The core product is free for unlimited meeting notes (notes older than 30 days require an upgrade).

## Market Standing
- **Valuation**: $1.5 billion (Series C, March 2026 — a sixfold increase from its $250 million valuation less than a year prior)
- **Total Funding**: Over $192 million ($67M prior to Series C, plus $125M Series C)
- **Key Metric**: High engagement and viral growth within companies — product-market fit described as "genuine" by users
- **Notable Investors/Partners**: Index Ventures (led Series C), Kleiner Perkins, Lightspeed, Betaworks, Firstminute Capital, and angel investors including Mike Krieger (Instagram), David Lieb (YC Partner), Guillermo Rauch (Vercel), Amjad Masad (Replit), Tobi Lutke (Shopify), Karri Saarinen (Linear), Lenny Rachitsky (Lenny's Newsletter), Des Traynor (Intercom), Soleio, and Charlie Songhurst.
- **Growth Signals**: Rapid valuation growth (6x in under a year), explicit enterprise pivot with a robust API, MCP server, and large named enterprise customer base.

## Competitive Advantages
- **Stealth recording (no bot)**: Granola is the only major meeting intelligence tool that captures audio from the user’s computer rather than sending a visible bot into the call — a key differentiator for professionals who find bots intrusive.
- **Context-layer strategy**: By offering an MCP server and APIs, Granola positions itself as a cross-platform "memory" for all AI agents and tools, rather than a siloed note-taking app.
- **High user love & viral growth**: Users report genuine product-market fit, with the product spreading virally within companies.
- **Strong design and product thinking**: Founded by a design-led team in London, with deep experience in product and engineering.

## Strategic Focus
- **Enterprise expansion**: The $125M Series C is explicitly earmarked for building out enterprise features (SSO, SCIM, consent-based data management) and winning large organizations.
- **Agentic AI integration**: Granola is investing heavily in becoming the "context layer" for other AI tools — its MCP server and APIs allow any agent to query meeting history, making it a critical data infrastructure play.
- **Growth in London & US**: Hiring across Engineering, Design, Sales, and Operations in both London and San Francisco — building out a US revenue team.

## Why Work Here
- **Culture**: Small, tight-knit in-person team (~50 employees as of early 2026) with total ownership over your area of the product. Described as "high trust" with visionary founders. Office is beautiful, with breakfast, lunch, and dinner provided daily.
- **Remote/Hybrid Policy**: Office-first with flexibility built in — 5 days in office by default, but flexible for life circumstances. Remote up to four weeks a year.
- **Notable Perks**:
    - Health Insurance (AXA for UK family; Aetna/Kaiser for US with dental & vision)
    - 20 weeks primary / 12 weeks secondary parental leave (fully paid)
    - 401(k) 100% match on first 3% of salary (US); 7% matching via Penfold (UK)
    - Daily fresh lunch (office)
    - Gym Boost: monthly contribution toward gym membership
    - L&D Budget: annual budget for courses, books, conferences
    - Life Insurance: 4x salary (UK); 2x up to $750k (US)
    - Income Protection: 75% salary (UK); 60% up to $12k/month (US)
    - Time Off: 25 days + bank holidays (UK); Unlimited PTO (US)
    - Commuter Benefits: tax-free bike purchase (UK); pre-tax transit/parking (US)
    - "Casa Granola" team getaway house in Majorca for offsites/deep work.
- **Engineering Culture**: AI-heavy, product-engineering focus. Roles include AI Engineer, Product Engineers (Backend, Full Stack, Windows), Design Engineer, and Security Engineer. Engineers work directly with co-founders on roadmap.

## Sources
1. [granola.ai/jobs](https://www.granola.ai/jobs)
2. [granola.ai](https://www.granola.ai/)
3. [jobs.ashbyhq.com/granola](https://jobs.ashbyhq.com/granola)
4. [jobsbyculture.com/companies/granola](https://jobsbyculture.com/companies/granola)
5. [thenextweb.com/news/granola-series-c-meeting-ai-enterprise-context](https://thenextweb.com/news/granola-series-c-meeting-ai-enterprise-context)

## Other roles at Granola

- [Product Engineer (Backend)](https://feeny.ai/job/product-engineer-backend-granola-london-jm3daj4pmg9w) — London, United Kingdom
- [Product Engineer (Full Stack)](https://feeny.ai/job/product-engineer-full-stack-granola-london-f63nrd8mxcjj) — London, United Kingdom
- [Affiliate and Influencer Marketer](https://feeny.ai/job/affiliate-and-influencer-marketer-granola-london-j4jqv55n51b1) — London, United Kingdom
- [Design Engineer (Web & Brand)](https://feeny.ai/job/design-engineer-web-brand-granola-london-hngb6kb46vh6) — London, United Kingdom
- [Sales Development Lead](https://feeny.ai/job/sales-development-lead-granola-san-francisco-r5vmpx8apef0) — San Francisco, CA
- [Tech Ops Lead](https://feeny.ai/job/tech-ops-lead-granola-london-bs6r0j19hszj) — London, United Kingdom
- [Engineering Manager](https://feeny.ai/job/engineering-manager-granola-london-0bv4p82d978n) — London, United Kingdom
- [Strategic Finance Lead](https://feeny.ai/job/strategic-finance-lead-granola-san-francisco-r9xw4k3vwjcq) — San Francisco, CA
- [Growth Engineer](https://feeny.ai/job/growth-engineer-granola-london-jhpmwm39m1aw) — London, United Kingdom
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-granola-london-5eyw4wbyz3z3) — London, United Kingdom