Analytics Engineer, Granola
£100-130k
Offers equity
More information about location
5 days a week in office
The AI notepad for people in back-to-back meetings
Job no longer available
The AI notepad for people in back-to-back meetings
21-100 employees
Job no longer available
£100-130k
Offers equity
More information about location
5 days a week in office
21-100 employees
Company mission
To build tools that help humans think better.
Role
Who you are
- We’re looking for a Data Scientist who loves turning raw data into powerful insights and predictive models
- Several years doing applied data science / machine learning in a product environment (consumer SaaS, fintech, marketplace or similar)
- Strong foundation in statistics, experimentation, causal inference, and common ML techniques (regression, tree ensembles, clustering, time series)
- Hands-on experience with ML frameworks and tools (e.g. Python, scikit-learn, PyTorch or TensorFlow, MLflow or equivalent)
- Experience deploying models (e.g. via REST endpoints, batch jobs, feature store) and monitoring them
- Comfortable working with data pipelines, SQL, data engineering, ETL, handling large datasets
- Strong communication skills — able to explain technical insights to non-technical stakeholders
- Bonus: experience with reinforcement learning, LLMs or generative AI, real-time streaming, or causal modelling
- Are first and foremost a builder — you want to go from zero to one, and ship things that matter
- Thrive in working in person from our London office (most of the time)
- Love the challenges (and messiness) of a growing startup environment — you either have startup experience or are drawn to that kind of fast feedback loop
- Value working with people who are kind, ambitious, and pragmatic
- Are excited about AI/ML, and driven by turning data into impact (direct experience not strictly required in every domain)
- Enjoy ambiguity, shifting priorities, and iterating quickly
- 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
What the job involves
- You’ll work closely with product, engineering, and ops to help shape our roadmap — from hypotheses, to experiments, to scalable models in production
- You'll have a big impact on how we unlock value from our data, and scale Granola’s analytics and intelligence capability as we 100× in users
- Own Granola's data infrastructure
- Maintain and improve pipelines between our data warehouse and various data sources, including our production database, Amplitude/Posthog, and other SaaS tools we use, and build new pipelines
- Build improvements to our data transformation process using SQL and dbt, optimising for performance and ease of querying
- Make architecture decisions regarding data infrastructure
- Define metrics and dashboards to track business health and model performance
- Continuously evaluate and iterate on models in production — improving, retraining, and optimising
- Mentor others in data thinking, share knowledge, and help elevate our analytical culture
Salary benchmarks
Our take
Granola is a London-based startup that treats company meetings as a source of organisational knowledge. Rather than introducing a note-taking AI to meetings, Granola integrates with audio capture tools to seamlessly record online and in-person conversations. In doing so, it removes the need for AI agent integration, maintains a frictionless set-up and sheds platform dependency and compatibility issues.
Since launching its Mac app in 2024, Granola has seen explosive growth, with weekly growth rates above 10%R and expanding across Mac, iOS, and soon Windows. It has quickly become a must-have tool for people who want beautifully crafted, intelligent software that lightens workloads and amplifies impact.
And the team behind it is an experienced one (the CEO's previous startup was acquired by Google) and has raised to Series C in venture capital from world-class investors, including the co-founder of Instagram and senior leaders from Google and Facebook. Now at a $1.5 billion valuation, it counts the likes of Mistral AI, Cursor and Gusto as clients. Well on the way to achieving its objective of becoming a queryable context layer for meetings, Granola provides a seamless alternative to third-party recording bots and looks set to scale further.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Mar 2026
$125m
SERIES C
May 2025
$43m
SERIES B
Total funding: $197.1m
Company benefits
- Grow a product / business from 0-1, with a strong influence on business decisions
- Flexible, parent-friendly culture - We default to in-person, but feel free to WFH when you need to
- 🇪🇸 Casa Granola: use our team house sunny Majorca (yes, you read that right). It’s a space for offsites, going deep on a project with a small group, or just inviting friends/family for a holiday
- Daily LunchFree lunch, delivered fresh to the office every weekday.
- A beautiful, light-filled Old St office full of plants and good vibes, with a roof deck and great views.
- Private health insurance: Free for you, subsidised for your family
- Holiday: 25 days paid time off each year
- Parental Leave: 20 weeks primary care giver / 12 weeks secondary care giver - fully paid, with optional phased return.
- Cycle to Work: Get a new bike tax-free through our Green Commute Initiative scheme.
- Pension: Modern, flexible pension via Penfold with up to 7% matching.
Company HQ
London, UK
Articles
Leadership
Christopher Pedregal
(Co-Founder & CEO)Has worked as a Product Lead and Product Manager for Google. Was previously founder & CEO of Socratic prior to its acquisition by Google.
Sam Stephenson
(Co-Founder)Ex Product designer and front-end developer. Designed consumer-facing products with Ideaflow, Carv, Swim Smooth, and others.
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