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Watershed is an enterprise sustainability platform used by companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens to manage climate and ESG data, produce audit-ready metrics for regulatory reporting (CSRD), and drive decarbonization.
You will architect and operate the systems, applied AI, and data infrastructure that powers Watershed's GTM organization. This is a hybrid systems engineering and applied AI role focused on building modern GTM systems that embed AI into daily workflows.
Key responsibilities:
- Drive GTM systems end-to-end: Salesforce (data model, integrations, automation), CPQ, lead routing, call intelligence, data enrichment, outbound activation, and scaled support. Design, develop, and ship solutions or lead evaluation and implementation of third-party tools.
- Build the applied AI layer: agents and workflows that GTM teams rely on daily to drive pipeline velocity, sales efficiency, and customer outcomes.
- Build the outbound signal engine: signal ingestion, enrichment, play orchestration, and attribution from data model to SDR-facing notifications.
- Establish GTM Engineering operating infrastructure: deployment pipeline, sandbox management, testing standards, backups, and AI dev environment (Claude Code, agents, skills).
- Partner with data science on the GTM data-to-action loop: designing data capture, translating signals into insights, and converting insights into workflows.
- Bring technical capabilities to GTM Operations and Marketing Ops teams to accelerate shipping across systems, data, and AI tooling.
- Drive adoption and measurement: discover user pain, ship, change-manage, measure trust and business impact, and sunset underperforming initiatives.
- Build technical foundation for wider GTM organization to work with AI: tools, connections, documentation, agent support, and operating standards.
Ideal candidate has 5+ years in customer-facing or GTM-facing technical roles at high-growth B2B SaaS or AI companies (Revenue Systems, GTM Engineer, RevOps). You embed AI in current workflows with deep experience in coding tools (Cursor, Claude Code) and enterprise agent tooling. You have broad experience with modern GTM tech stacks: data enrichment, lead routing, sales engagement, call intelligence, chat, CPQ, support (Salesforce, Gong, Clay, LeanData preferred). Strong background in system design and architecture including data modeling, integrations, automation, and tradeoffs between declarative and code-based solutions. Experience managing development environments and deployment pipelines (Gearset or similar).
Based in San Francisco or New York office. Must be willing to work from office 4 days per week.
