We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set.
You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one.
If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you.
Role overviewBuild the systems behind Treefera's Environmental Intelligence — the data models, pipelines and APIs that turn satellite and ground-truth signals into evidence customers can act on, fast enough to change a decision.
Who you areYou have taken a production Python service or pipeline through a significant change to its architecture — a re-model, a re-platform, or a rewrite of how data moves through it.
You design the data models and APIs other people build on, and you have lived with the consequences of your own schema decisions.
You work from a problem rather than a ticket: you pick the approach, make the call on the trade-offs, and can explain the reasoning afterwards.
You extend systems that already exist — including the parts nobody wants to touch — rather than reaching for a rewrite.
You use AI in your workflow, or are ready to, and you can explain what you kept, what you threw away, and why.
Desirable requirements (if applicable):
Geospatial or Earth Observation data — GIS, remote sensing, or Postgres and PostGIS.
Scientific Python such as NumPy, GeoPandas or Xarray, or pipeline orchestration with Dagster.
Some familiarity with Typescript, React or NestJS — you will touch the app occasionally rather than daily.
Ship services end to end — data model, pipeline, API — from a question a customer asked to something that answers it.
Turn emerging ideas into working prototypes quickly, so customer feedback arrives in weeks rather than quarters.
Own the technical decisions in your scope — extending Treefera's existing platform and its constraints, refactoring where it pays and resisting the rewrite where it doesn't.
Carry work past release through maintenance, documentation and operational follow-through, so what ships stays reliable.
Improve how the team builds through code review, mentoring less experienced engineers, and practical tooling improvements.
Land the work commercially — demo what you build and enable the people who sell and support it, so what you build gets adopted, not just shipped.
Within 30 days you will have shipped something small into production and know where the platform's edges and legacy corners are. By 60 days you will own a piece of Environmental Intelligence end to end — data model through pipeline to API — including the problems that arrive as open questions rather than tickets. By 90 days it is released and customers are querying it, sharpening the evidence organisations use to protect forests and de-risk supply chains. By six months your work shows up beyond your pod, in the documentation, tooling and standards that make everyone quicker. Within a year, environmental evidence reaches the people who need it faster, and your work is a visible part of that.
Who you’ll work withYou’ll join the Engineering team and partner day-to-day with Product, Customer Solutions and the Science/AI team, while working closely with HQ teams (Operations, Finance, Legal) and our enterprise customers.
Interview process & what to expectRecruiter screen (30–45 min)
Hiring manager & Collaborative technical session (45-60 min)
Final cross-functional or executive conversation (If applicable). (30-45 min)
Accessibility: Tell us if you need adjustments, we’ll accommodate.
What you’ll gain at Treefera
Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon.
Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale.
Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery.
Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning.
Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data.
Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence.
Diversity, Equity & Inclusion
Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you.
Learn more about how we think and build
Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera blog for technical deep dives, research and product perspectives.
Privacy notice
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Treefera is an equal opportunity employer. We believe the diversity of our people is as vital as the diversity of the ecosystems we work to protect, and we are committed to building an inclusive workplace where everyone can thrive. We welcome applicants of all backgrounds irrespective of race, colour, ethnicity, national origin, religion, gender identity or expression, sexual orientation, age, disability, pregnancy, or any other characteristic protected by applicable law. Reasonable accommodations are available upon request.Treefera London, England Office
London, United Kingdom
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