Staff software engineer, AI product London

About Watershed

Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product‑building, want to work hard at a mission‑oriented startup, and will collaborate with us in shaping the culture of a growing team.

We have offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us!

The role

We're looking for a software engineer specializing in AI to join our sustainability AI reporting team. You will be a technical leader in helping us build a world class AI tool for companies to manage and report on their progress in sustainability. You'll leverage LLMs, embeddings, and other AI technologies to deliver features to our customers, and help lay the technical foundations for AI at Watershed.

We are looking for this hire to be based in our HQ in London 4 days per week.

In this role you will:

• Prototype, develop and iterate on a new product area for Watershed, giving our customers powerful AI tools for information extraction and report generation
• Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data
• Collaborate with product and other AI engineering teams to set product and technical strategy
• Keep up with developments and state-of-the-art in AI to determine what is relevant to Watershed
• Write performant, well‑crafted, tested, and maintainable code across our technical stack

You might be a good fit if you have:

• 2+ years of working building AI powered products and 5+ years in software engineering.
• Experience building products using LLMs, embeddings and other ML technologies.
• Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies.
• Experience leading cross functional teams in an innovative fast moving environment.
• A strong foundational understanding of machine learning models and practice, including model evaluation and performance.
• Strong full‑stack development skills.

Must be willing to work from an office 4 days per week (except for remote roles).

#J-18808-Ljbffr