Watershed GTM Engineer at Watershed architects and operates systems and applied AI for GTM organization. Builds AI-native GTM operations to improve pipeline velocity, sales efficiency, and customer outcomes.
Responsibilities
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 measured by adoption and business impact: pipeline velocity, sales efficiency, and customer outcomes.
This role is based in our San Francisco or New York office.
Drive GTM systems end-to-end - Salesforce (data model, integrations, automation), CPQ, lead routing, call intelligence, data enrichment, outbound activation, and scaled support - designing, developing, and shipping what we build, or leading the evaluation and implementation of what we bring on. Partner closely with Marketing Operations, Sales Operations, Deal Operations, CS Operations where the work intersects their scope.
Build the applied AI layer of the GTM stack: agents and workflows the GTM organization relies on day-to-day, driving pipeline velocity, sales efficiency, and customer outcomes.
Build the outbound signal engine with us: signal ingestion, enrichment, play orchestration, and attribution - from the data model to the SDR-facing notification layer - shipping the pilot plays that prove it generates pipeline.
Build out the GTM Engineering operating infrastructure: deployment pipeline, branching and sandbox management, testing standards, backups, and the AI dev environment (Claude Code, agents, skills) the team ships in.
Partner with data science on the GTM data-to-action loop - driving how we capture data, and how signal becomes insight and insight becomes workflow that moves business outcomes.
Bring technical capabilities to the GTM Operations and Marketing Ops teams to accelerate our org's velocity on what we can ship across our systems, our data, and AI tooling.
Drive adoption and measurement like a product owner: discover user pain, ship, change-manage, measure trust and business impact across the AI portfolio, and sunset what doesn't earn its place.
