Job Overview
Job description
- Salary:
- GBP 100,000 - 130,000 per year
- Location:
- London, United Kingdom
- Work arrangement:
- On-site
Role Summary
Hey! We're team Granola đź‘‹
If you haven't already, you should check out what we're building https://www.granola.ai/, and why you should work here https://www.granola.ai/jobs.
We're looking for an Product Engineer focussed on the Backend to help us scale our systems to unlock Granola for the next 100x users.
In this role, you will deep dive into scaling challenges, build secure and reliable infrastructure, and develop robust backend solutions that power exciting new features.
- Own the evolution and scaling of our backend infrastructure
- Design and implement performant APIs and services
- Build infrastructure to support cutting-edge AI capabilities
- Optimise database performance and query efficiency
- Continuously improve reliability and observability through enhanced monitoring and alerting
- Collaborate cross-functionally to ensure our infrastructure supports continuous product innovation
We are living in the most exciting time for tool builders since Engelbart's demo https://en.wikipedia.org/wiki/The_Mother_of_All_Demos in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.
We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.
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.
Requirements
Your background looks something like
- Engineering experience in tech and product-driven environments
- Strong proficiency in TypeScript and Node.js
- Hands-on experience with cloud infrastructure and infrastructure as code (we build on AWS using Terraform)
- Deep knowledge of relational databases (we use PostgreSQL)
- Familiarity with serverless architectures (we love lambdas!)
- Solid understanding of security best practices and performance optimisation
As a person, you…
- Are first and foremost a builder
- Are excited to work in-person from our office in London (most of the time)
- Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)
- Value working with people who are kind, ambitious, and pragmatic
- Have an interest in infrastructure for AI/ML (direct experience is a bonus, but not required)
- Thrive in a fast-paced environment with evolving requirements and shifting priorities
About the Company
We’re Team Granola 👋, building tools that help humans think and work better.
What began as an AI notepad for back-to-back meetings has become a shared team workspace and second brain. Granola spreads organically inside companies, often starting with a senior leader and quickly cascading across teams.
Today, Granola is used at many of the world’s top and fastest-growing companies like Vercel, Cursor, Lovable, Decagon as well as leading technology companies like Salesforce and Doordash.
Designed and built in London, Granola now serves a predominantly US customer base. To support that growth, we’ve opened a San Francisco office as the hub for our North American go-to-market efforts.
- Role:
- Product Engineer (Backend)
- Job Type:
- FullTime
Company profile
Granola
granola.aiGranola is an AI notepad for back-to-back meetings that captures notes, action items and memory using the computer's audio, without inviting a meeting bot, and works with Zoom, Google Meet, Teams and other apps on macOS, Windows, iOS and Android. It has grown into a shared team workspace used at companies such as Vercel, Cursor, Salesforce and DoorDash, and it is designed and built in London.
- Founders
- Chris Pedregal
- Funding Stage
- Series C
- Key Investors
- Index Ventures, Kleiner Perkins