Senior product manager, methodology
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.
Role
Product Managers at Watershed are the glue that unites engineering, design, climate science, and go-to-market under a single cohesive vision—and then ship it. This is a highly technical, hands-on, and cross-functional role: you will set direction for the Methodology team, which owns the standard methodologies, datasets, and developer tools that turn raw business data into auditable sustainability data.
Responsibilities
Own the roadmap for Watershed’s corporate methodology: define the vision, strategy, and north-star metrics for our data artifacts that constitute methodology (ingestion templates, activity types, external source databases, reporting queries etc)
Partner with climate scientists, data engineers, verifiers, and standards bodies to decide what we build, why it matters, and how we deliver—with a relentless focus on scientific rigor, customer impact, and scale.
Manage external partnerships where you were the primary owner of the relationship, not just a stakeholder—bonus if those partnerships involved data providers, verifiers, auditors, or standards bodies.
Design for correctness and auditability: work with climate scientists and data engineers to ensure methodologies are accurate, transparent, and defensible under regulatory scrutiny.
Partner across the org: align roadmaps with Sales, Customer Success, Sustainability Advisors, Reporting, Supply Chain, and Finance teams so that methodology investments land successfully across every product surface.
Leverage AI to do all of the above
Requirements
5+ years of product management experience in enterprise SaaS, with a track record of shipping data products, datasets, or data platforms—ideally at high-growth startups.
Experience working with open datasets, open-source projects, or industry data alliances—you understand the dynamics of adopting, contributing to, and building on shared data infrastructure.
Bonus if those partnerships involved data providers, verifiers, auditors, or standards bodies.
Built products for enterprise customers and can navigate compliance, change-management, and the messy realities of data quality at scale.
Combine customer anthropology with data-driven intuition: you can spend a day digging through emission factor databases or Python notebooks, then jump on a call to map a CSO’s reporting journey.
Thrive in ambiguity and love turning fuzzy, conflicting inputs—from regulators, scientists, customers, and verifiers—into a clear, inspiring product vision.
Communicate with precision: whether writing a methodology white paper, presenting a roadmap to leadership, or explaining a technical trade-off to a customer, you articulate complex ideas simply and convincingly.
Qualifications
Direct experience in climate, sustainability, or environmental science—whether through a prior role, academic background, or deep personal interest.
Worked on products that involve regulatory or accounting standards and understand how standards shape product decisions.
Location
This role is based in San Francisco. We believe colocated time accelerates collaboration for platform-level challenges. If you’re eager to own the science and data that power 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).
Interview Process
Getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests.
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.
Accommodations
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.