GTM Systems & AI Engineer

Watershed; San Francisco (CA); Hybrid; USD 148,000 - 164,000; Full time

Job summary

Watershed is hiring a builder to architect and operate the systems, applied AI, and data infrastructure Watershed's GTM organization runs on. This role blends systems engineering with applied AI to reshape how GTM teams build and operate intelligence-driven workflows.

You’ll shape the technology behind CRM, data enrichment, outbound activation, and the agent orchestration layer, partnering with data science on the data-to-action loop to turn signals into actionable workflows that move business

Qualifications

• 5+ years in a customer-facing or GTM-facing technical role at high-growth B2B SaaS or AI companies, including Revenue Systems, GTM Engineer, or RevOps
• AI is embedded in the current workflow - deep experience with coding tools (like Cursor or Claude Code), and enterprise agent tooling
• Broad experience managing the modern GTM tech stack: data enrichment, lead routing, sales engagement, call intelligence, chat, CPQ, support (experience with Salesforce, Gong, Clay, and/or LeanData preferred)
• Deep technical background in system design and architecture - including data model, integrations, automation, and the tradeoffs between declarative and code-based solutions
• Experience managing development environments and deployment pipeline (such as Gearset)

Responsibilities

• 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.
• Build the technical foundation that lets the wider GTM organization work with AI - tools, connections, documentation, supporting agent builds, and operating standards. Partner with Enablement on user-facing training and AI fluency programs.

Skills

GTM engineer

AI in GTM

Salesforce

Data enrichment

Tools

Claude Code

Gearset

Job description

Watershed is hiring a builder to architect and operate the systems, applied AI, and data infrastructure Watershed's GTM organization runs on. This role blends systems engineering with applied AI to reshape how GTM teams build and operate intelligence-driven workflows.

You’ll shape the technology behind CRM, data enrichment, outbound activation, and the agent orchestration layer, partnering with data science on the data-to-action loop to turn signals into actionable workflows that move business