- Employment
- Full-time
- Seniority
- Staff
About the role
Are you a senior product builder who likes shipping things that matter? We're looking for an experienced technical generalist to join us and help build the next generation of our impact data products, end-to-end, across the stack, with real users on the other side.
At Upright, you get to work on a product that actually matters: the world's largest open-access database on company impact, used by 1,000+ institutional investors and corporations to make real capital allocation decisions. We quantify companies' impact from the ground up, based on peer-reviewed science and what companies actually produce and sell. The raw material is their product data, which we collect and classify automatically at scale.
A few things our team has built recently:
- A global physical climate-risk model for any company. We built a pipeline that pulls in open scientific datasets on heat stress, wildfires, and coastal and riverine flooding, projects them onto a worldwide grid of ~145 million points under both moderate and high-emissions scenarios, and turns the raw data into per-location risk scores. Customers can now see, for any company they hold or are considering, how exposed its real-world locations are to physical climate hazards today and out to 2050.
- Automatic discovery of a company's real physical footprint. An AI agent that, given just a company name, finds its actual sites, headquarters, factories, data centres, stores, warehouses and pins them to real coordinates. This means our impact and climate-risk numbers are computed against where a company actually operates, instead of falling back on country averages.
- An LLM-assisted Double Materiality Assessment engine that automates a process consultants currently charge €50–200k for, with structured outputs, retrieval over peer-reviewed evidence, and a custom eval harness keeping quality measurable.
As a Product Builder, you'll own larger product areas end-to-end: from the schema and business logic in the backend, through the data and LLM-assisted pipelines that produce the numbers, to the UI where users actually see them. You'll work closely with our sustainability and domain experts to turn fuzzy, expert-led requirements into shipped features, and you'll have real authority over the technical direction of the areas you own. Your specific responsibilities will be tailored during the recruitment process to your background, skill level, and interests. If you're ready to grow your career while building a platform that matters and to do it in an AI-forward engineering environment, we'd love to hear from you!
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