Senior product manager, datasets & objects
Role Overview
This senior product manager role focuses on transforming Watershed's data layer into an AI-powered intelligence platform. You'll lead the development of BI-grade querying, natural-language search, automated anomaly detection, and schema architecture to help customers analyze climate and ESG data directly within the platform. This is a deeply technical, cross-functional position requiring collaboration with engineering, climate science, and go-to-market teams to ship AI-native features that unlock previously inaccessible insights.
Perks & Benefits
This role is based in New York City with an expectation of 4 days per week in-office, though Watershed has a distributed team with offices globally and remote team members across the US and Europe. The company offers a mission-driven startup environment focused on climate action, with opportunities to work on cutting-edge AI applications. While specific benefits aren't detailed, typical tech startup perks like competitive compensation, health benefits, and professional development can be reasonably assumed.
Full Job Description
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
The role
Watershed customers have poured years of operational and emissions data into our platform, but the insights they can glean from it are limited. AI totally upends what is possible, and we’re looking for a PM to figure it out.
You’ll PM the team turning Watershed’s data layer into an intelligence platform: BI-grade querying, AI-powered discovery and analysis, and the schema architecture underneath it all. The goal is for customers to get answers inside Watershed—not export to Excel.
This is a hands-on, deeply technical, cross-functional PM role. You’ll partner with engineering, climate science, and go-to-market to decide what we build, why it matters, and how we ship it.
You will
Own the product roadmap: vision, strategy, and metrics for BI capabilities, data discoverability, schema design, and AI-powered insights.
Ship AI-native features: natural-language search over datasets, automated anomaly detection, AI-assisted analysis (“why did Scope 3 spike in Q3?”), and proactive recommendations—using LLMs to unlock insights that were previously only accessible to power users.
Build BI-grade primitives: tables as first-class objects, joins, calculated columns, pivots—so customers can do real analytical work without leaving the platform.
Make data discoverable: schema catalogs, data dictionaries, and usage analytics so customers always know what they have and how to use it.
Solve the flexibility-vs-rigor tension: design interoperability between canonical (methodology-backed) and custom (user-defined) schemas.
Drive correctness and scale: clean up schema debt, ensure auditability, and make the platform fast enough for real analysis.
Partner across the org: align with Sales, CS, Sustainability Advisors, and other product teams to land new capabilities successfully.
You might be a fit if you
Have 5+ years of PM experience in B2B SaaS, shipping data platforms, BI tools, or developer-facing APIs—ideally at high-growth startups.
Have already built with AI: you’ve shipped AI-powered features or prototyped with LLMs, not just talked about it. You have hands-on intuition for what works, what hallucinates, and where AI genuinely changes the product.
Think like a data platform PM: schema design, query performance, flexibility vs. structure—you have opinions and scars.
Go deep with customers: you can spend a morning in SQL notebooks, then jump on a call to map a CSO’s workflow.
Thrive in ambiguity: you turn fuzzy, conflicting inputs into a clear product vision.
Communicate with precision: one-pagers, API docs, roadmap presentations—you make complex ideas simple.
Location
This role is based in New York City. We believe colocated time accelerates collaboration for platform-level challenges.
If you want to build the AI-powered data layer behind climate action at scale, we’d love to meet you.
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.
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