About Watershed
Watershed is a software platform for running a world-class climate program. We measure our success in the carbon reduction achievements of our customers. 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 and London and remote team members across the US and Europe. We hope that you’ll be interested in joining us!
The role
Accurately measuring sustainability impacts throughout the value-chain is the first step to reduce the human footprint on the planet. Watershed is building the leading enterprise-grade software solution for companies to measure their greenhouse gas emissions as a means to discovering pathways to reduce them. And, we are building a team of scientists to implement the end-to-end measurement and sustainability analytics platform for our customers.
We’re looking for an individual to lead the research and development of Watershed’s scientific methodology for measuring sustainability impacts for Watershed’s new Corporate Sustainability Reporting Directive (CSRD) product in Europe. You’ll work with world-class scientists, software engineers, and product designers to create the best-in-class platform to power the sustainability programs of Europe’s leading companies.
As part of this work, you will:
- Define Watershed’s strategic approach to measuring CSRD-related environmental impacts, including pollution, water resources, biodiversity, and waste and circular economy.
- Partner with product management and go-to-market teams to discover customer needs.
- Interpret and synthesize regulations, industry guidance, and scientific literature to develop novel, rigorous, and practical methods for estimating sustainability impacts of business activities with varying levels of data availability.
- Engage internal and external experts to validate the methodologies you develop.
- Collaborate with other data scientists to implement and deploy estimation methods.
- Identify relevant raw data that may include but isn’t limited to input-output tables, international trade statistics, life cycle assessment (LCA) of products, greenhouse gas emissions inventory, pollutant emissions, ecologically sensitive regions, land use management and land use change, and water and resources use.
You might be a fit if you:
- Have 6+ years industry or research experience applicable to ESRS E2 “Pollution” or ESRS E5 “Resource use and circular economy” in the context of CSRD.
- Have a record of publications or contributions to governmental or industry standards.
- Have an advanced degree related to sustainability, preferably a doctorate.
- Have experience in a scientific programming language like Python. Alternatively, experience building complex and maintainable models in spreadsheets or analogous calculation tools.
- Are an excellent verbal and written communicator. You can communicate complex topics to technical and non-technical audiences.
- Are willing to roll up your sleeves to work with unstructured and inconsistent data. You have good intuition for how numbers in a table map to the real world.
- Are passionate about solving sustainability challenges and excited to contribute to doing so at a fast paced startup. You learn quickly and operate well in ambiguity.
FAQ
Where does Watershed work?
We have hub offices in San Francisco, New York and London, and some remote team members in the US and EU. Most of our jobs need to be in San Francisco / New York / London, but certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description.
What’s the interview process like?
It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience screen (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel after that if the screens go well. We prioritize transparency and lack of surprise throughout the process.
