GTM engineer
- Salary
- ₹18–30 LPA
- Location
- San Francisco, US
- Experience
- Intermediate
About company
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 We're hiring a builder to architect and operate the systems, applied AI, and data infrastructure Watershed's GTM organization runs on. This is both a systems engineering role and an applied AI role - and the work is shifting how modern GTM systems get built. You'll build the systems and AI that let our GTM teams spend more of their time on customer outcomes. You'll be on the team that architects and operates the technology the GTM organization runs on: CRM, call intelligence, data enrichment, outbound activation, and the agent orchestration layer that wraps them. You'll partner with data science on the GTM data-to-action loop - designing what we capture, how we translate signals into insight, and how insight becomes a workflow the GTM organization adopts. Your work accelerates and extends our existing push toward AI-native GTM operations. This is a role for someone who has already rewired their day around AI and pushed others around them to do the same. You'll have real scope to define how GTM Engineering shows up at Watershed: the systems we build, the agents we run, and the patterns we set for how the wider GTM organization adopts AI. Success means a GTM organization where leadership trusts the systems, the team adopts what we ship, and AI is embedded in how people work day-to-day. This work is me