You will own the back-end infrastructure and data strategy for a mission-driven startup tackling global food waste. Working directly with the founders, you will build scalable GCP pipelines, design high-performance APIs, and develop full-stack solutions. Your work directly impacts how the world monitors food quality across global supply chains.
Product & Data Engineer at BlakBear
Join BlakBear, an Imperial College London spin-out building the sensor and AI infrastructure needed to eliminate global food waste by replacing archaic expiry dates with real-time freshness data. As a Product & Data Engineer in this seed-stage London team, you will own the full-stack lifecycle of a product that moves the needle for the planet while working directly with the founders in an environment that values psychological safety, intellectual curiosity, and rapid technical growth.
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Location
London, United Kingdom
Compensation
£50k-£90k + Equity
Company
BlakBear
Role overview
BiotechnologyLondon, United KingdomSeed (VC-backed)
1/3 of food is wasted, but why?
Most food is still good to eat or cook at the expiry date, because the dates are chosen to cover a worst-case scenario. That’s great for quality and safety, but leads to a huge amount of waste. We believe food should tell you how fresh it is, and in 10 years the world will not be wasting food because of a fixed printed date.
We replace use-by dates and shelf-life testing with smart labels that measure spoilage gas, and AI that predicts the remaining days of freshness. We invented this technology as scientists from Imperial College London, and we’re using it to improve the whole supply chain, from food producers to households, and reduce the unbelievable amounts of waste caused by the 50-year-old system of destructive testing and printed expiry dates.
We last quarter we signed enterprise deals with major food manufacturers in the UK, Canada and USA, and we are rapidly disrupting one of the industrial pillars of the world.
Backed by Ada Ventures, Remus Capital, Ponderosa Ventures, Green Circle Capital Advisors, Tom Sturgess.
What you will do
- Design and maintain scalable ETL pipelines and GCP cloud infrastructure to process real-time sensor data and AI predictions.
- Build and iterate on robust APIs using Python and FastAPI, managing the full product lifecycle from design to operation.
- Collaborate with the CEO and CTO to implement agentic AI tools and full-stack features that enhance the core freshness-prediction platform.
Who this is a fit for
- Has 2–8 years of experience in software or data engineering with a strong mastery of Python for production-grade services.
- Possesses a proven track record of building and shipping full-stack applications and maintaining automated CI/CD pipelines.
- Exhibits deep curiosity and a desire to solve hard problems, ideally with experience in startup environments or hands-on LLM agent frameworks.
Why this role is remarkable
- Join a high-impact mission to eliminate 1/3 of global food waste by replacing archaic printed expiry dates with real-time sensor intelligence.
- Work in a high-caliber environment as an Imperial College London spin-out that is already signing enterprise contracts across Europe and North America.
- Enjoy significant growth potential and ownership in a seed-stage team of under 20 people, directly influencing the product’s technical evolution.
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