Watershed - Senior Product Manager, Methodology

• 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) • Own verifier partnerships: source, negotiate, and manage relationships with third‑party verification and assurance providers, ensuring Watershed’s methodology earns external trust and meets evolving audit requirements. • Navigate the open‑data and standards ecosystem: build and maintain relationships with open‑dataset providers, standards‑setting bodies, and industry alliances; evaluate when to adopt, contribute to, or build alternatives. • Become an expert on the customer: sit with sustainability leads, data teams, and auditors to uncover pain points, validate hypotheses, and turn insights into product requirements. • 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 • You might be a fit if you • Have 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. • Have 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. • Have managed 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. • Have 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.