openashbyhqgalvanizeclimate
GTM operations, sustainability advisory & services
Watershed
LocationSan Francisco, New York City
WorkplaceOnSite
EmploymentFullTime
Posted2026-06-05T23:13:10.153+00:00
Last observed2026-06-13 05:23:00.356679
Job idgalvanizeclimate-watershed:ashbyhq:f021f8e6-2807-4184-964d-eb8f61bc0453
ABOUT WATERSHED Watershed https://watershed.com/ 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 Watershed is on a mission to help companies measure, reduce, remove, and report their emissions. We're looking for a strategic operator to join GTM Operations, focused on our Sustainability Advisory & Services organization, which is made up of four global teams. Together they deliver the advisory and professional services - measurement, reporting, target-setting, and decarbonization - that hundreds of enterprise customers rely on to act on that mission. You'll be the operational partner for this organization - running the operating rhythm, owning long-term planning and complex cross-functional workstreams, building the systems and AI-driven workflows that improve how the team delivers, and turning data into decisions that raise the quality and efficiency of the whole function. This is a role for a builder - someone who ships what they design and has already rewired their day around AI. You'll have real scope to define how a modern services and advisory operation runs, and leadership will expect you to push the function forward. Success means a services organization that plans with confidence, staffs against real capacity, and has AI embedded in how it operates day-to-day. This role can be based in our New York or San Francisco offices. YOU WILL: - Build the staffing, capacity, and forecasting models that turn business data into clear resourcing recommendations and inform budgeting and staffing decisions across services and advisory. - Own the dashboards, models, and reporting infrastructure that track the health of the services business, surfacing problems and strategic takeaways and giving leadership real-time visibility into utilization, capacity, and delivery quality. - Ship AI-first operational workflows and internal tooling that change how the team plans, staffs, and delivers day-to-day, turning manual processes into systems that scale. - Run the operating cadence - weekly capacity and resource reviews, customer assignments, and workload management - to keep cross-team execution on track. - Design and improve the delivery processes behind a high-quality, repeatable services operation, identifying opportunities, developing hypotheses, and executing tightly scoped projects end-to-end. - Drive the strategic planning process - OKR setting, business reviews, and long-range planning - and lead complex, multi-workstream initiatives from conception through implementation to shape investment priorities and roadmaps. - Partner with Services leadership to drive the key decisions, hold teams accountable to their targets, and keep the organization delivering against its KPIs and the services mission. THE IDEAL CANDIDATE BRINGS: - 5-7 years in management consulting and/or strategy and operations at a high-growth B2B SaaS company, with a track record of owning complex workstreams end-to-end. Experience operating or scaling a professional services or delivery organization is a plus. - Proven success driving operational excellence; you've built repeatable systems from design through implementation and optimization, and you hold strong opinions about what best-in-class operations looks like. - Expert-level modeling and data analysis; you've used data to generate insights across a broad range of business problems and can explain what the numbers mean
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