<h2>About Watershed</h2><a href="https://watershed.com/">Watershed</a> 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!<h2>The role</h2>We’re seeking a Staff Full-Stack Engineer to join the <a href="https://watershed.com/en-GB/solutions/product-footprints">Product Footprints</a> team. We’re building an AI-powered product that enables Watershed’s largest customers to measure and reduce their supply chain emissions. You’ll be a leader in building new 0 → 1 products and scaling them, tackling large and ambiguous challenges across technical systems and product engineering. You’ll work side-by-side with product managers, AI engineers, and climate scientists. This role sits within Watershed’s Data and AI org, which builds <a href="https://watershed.com/en-GB/platform/sustainability-ai">AI products</a> and core scientific datasets (including <a href="https://watershed.com/en-GB/blog/cornerstone">Cornerstone</a>).In this role you will:<ul style=""><li>Build new products and features for Watershed’s biggest customers and most complex use cases. Recent examples include:<ul style=""><li>A sandboxed agentic workflow that translates emissions reductions scenarios from natural language into repeatable data transformations</li><li>A full-stack application to manage supply chain data, including data upload, AI model orchestration, and integration with the rest of Watershed’s platform</li><li>A new data model to extend our core backing database and expose more granular emissions breakdowns to customers</li></ul></li><li>Work across our full stack, with an emphasis on back-end systems and data models</li><li>Partner with Product Management and Design to understand user workflows and needs and translate them into technical solutions</li><li>Partner with AI engineers and climate scientists to build ergonomic and trustworthy agentic workflows</li><li>Lead by example by writing performant, well-crafted, extensible, and maintainable code</li></ul>You might be a good fit if you have:<ul style=""><li>8+ years of software engineering industry experience across both front-end and back-end, with an emphasis on back-end</li><li>A track record of ownership and high-impact projects</li><li>Experience building early-stage products</li><li>Experience with, or interest in, building AI-powered and data-centric products</li><li>Mission-driven and excited to build products that will help companies reduce their emissions</li></ul>The Denver Office: Our Denver office is one of Watershed's newest and fastest-growing hubs. Located at 1615 Platte Street in LoHi, it's home to a collaborative team of engineers, product managers, and business partners working together in person. Watershed provides lunch every day in the office, and you'll have the opportunity to help shape the culture and future of a growing engineering presence in Denver. Must be willing to work from an office 4 days per week (except for remote roles)Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so.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 interview (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. We prioritize transparency and lack of surprise throughout the process.What if I need accommodations for my interview?At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, the CDP, YETI, and BBVA use Watershed to reduce emissions, meet customer, investor and regulatory requirements, and modernize their sustainability programs.With offices in London, New York and San Francisco, and remote employees across the US and Europe, we’re growing fast and hiring for a variety of roles! Explore all of our open opportunities at <a target="_blank" rel="noopener noreferrer nofollow" href="http://watershed.com/jobs">watershed.com/jobs</a>.Watershed’s advisors and investors include Mark Carney, Christiana Figueres, Al Gore, Sequoia, and Kleiner Perkins.

Staff software engineer, AI product

<h2>About Watershed</h2><a href="https://watershed.com/">Watershed</a> 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!<h2>The role</h2>We’re seeking a Staff Full-Stack Engineer to join the <a href="https://watershed.com/en-GB/solutions/product-footprints">Product Footprints</a> team. We’re building an AI-powered product that enables Watershed’s largest customers to measure and reduce their supply chain emissions. You’ll be a leader in building new 0 → 1 products and scaling them, tackling large and ambiguous challenges across technical systems and product engineering. You’ll work side-by-side with product managers, AI engineers, and climate scientists. This role sits within Watershed’s Data and AI org, which builds <a href="https://watershed.com/en-GB/platform/sustainability-ai">AI products</a> and core scientific datasets (including <a href="https://watershed.com/en-GB/blog/cornerstone">Cornerstone</a>).In this role you will:<ul><li>Build new products and features for Watershed’s biggest customers and most complex use cases. Recent examples include:<ul><li>A sandboxed agentic workflow that translates emissions reductions scenarios from natural language into repeatable data transformations</li><li>A full-stack application to manage supply chain data, including data upload, AI model orchestration, and integration with the rest of Watershed’s platform</li><li>A new data model to extend our core backing database and expose more granular emissions breakdowns to customers</li></ul></li><li>Work across our full stack, with an emphasis on back-end systems and data models</li><li>Partner with Product Management and Design to understand user workflows and needs and translate them into technical solutions</li><li>Partner with AI engineers and climate scientists to build ergonomic and trustworthy agentic workflows</li><li>Lead by example by writing performant, well-crafted, extensible, and maintainable code</li></ul>You might be a good fit if you have:<ul><li>8+ years of software engineering industry experience across both front-end and back-end, with an emphasis on back-end</li><li>A track record of ownership and high-impact projects</li><li>Experience building early-stage products</li><li>Experience with, or interest in, building AI-powered and data-centric products</li><li>Mission-driven and excited to build products that will help companies reduce their emissions</li></ul>The Denver Office: Our Denver office is one of Watershed's newest and fastest-growing hubs. Located at 1615 Platte Street in LoHi, it's home to a collaborative team of engineers, product managers, and business partners working together in person. Watershed provides lunch every day in the office, and you'll have the opportunity to help shape the culture and future of a growing engineering presence in Denver. Must be willing to work from an office 4 days per week (except for remote roles)Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so.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 interview (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. We prioritize transparency and lack of surprise throughout the process.What if I need accommodations for my interview?At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

Staff software engineer, AI product

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