Senior Product Manager, Methodology

🕒 March 7

🏢🏡 San Francisco – Hybrid

💵 $187.6k - $227k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

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Watershed

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2019

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Watershed is a SaaS enterprise platform that helps companies measure, report, and reduce their carbon emissions and manage corporate sustainability and ESG programs. The company provides audit‑grade carbon accounting, regulatory ESG disclosure tools, emissions‑reduction planning, and a marketplace for carbon removal and clean energy, backed by in‑house climate science and advisory services. Watershed serves large enterprises and financial institutions, enabling faster, auditable sustainability reporting and action.

📋 Description

• 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

🎯 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. • 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. • 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.

🏖️ Benefits

• equity • health/dental/vision insurance • 401(k) • unlimited paid time off • paid parental leave • fertility • mental health programs