Growth & Digital/AI Engineer (contract) — job description
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AI Engineer (contract)
Owns the agent platform, data pipelines, and GTM automation that the rest of the Digital & Growth pod builds on.
JOB DESCRIPTION
edit content/roles/ai-engineer.md
Owns the agent platform, data pipelines, and GTM automation that the rest of the Digital & Growth pod builds on. This role predates the rest of Ops Support and was always a real, active cost — this is the first pass where it's fully itemized in the budget alongside everyone else, not a new hire.
What you'll do
- Own and maintain the shared context engine and agent platform that the Agent Workflow Builder, Data & Analytics Engineer, and every other agent owner on the team build against.
- Build and maintain the GTM automation and data pipelines that connect marketing systems (CRM, marketing automation, warehouse) to the agents that read from them.
- Make platform-level calls on data access, tooling choices, and guardrails that affect every agent in the ~79-agent catalog, in partnership with the Agent Workflow Builder.
- Keep the platform stable enough that specialist-owned agents (paid, lifecycle, web, SEO/AEO) can be built and shipped without platform work becoming the bottleneck.
- Report progress and platform health directly to Nash on a .25 FTE / roughly 40 hours a month basis.
About you
- Hands-on engineering background across data pipelines, APIs, and automation, not just prompt engineering.
- Comfortable being the platform layer other builders depend on, including the unglamorous reliability and access-control work that entails.
This is a role-clarity writeup for a seat already filled, not a posting — Josh is already in place.
FILLED BY
J
Josh
In place
REPORTS TO
Ops Support — reports to Andy, VP Ops; day-to-day via Scott (sprint model); platform health to Nash
ENGAGEMENT
Contractor · Ops Support (budget via Andy, VP Ops)
ON TEAM & ACCESS
Josh
JD SOURCE
Internal role-clarity writeup — first pass itemizing a pre-existing role
RATES & BUDGET
Not shown here by policy — see the Operating Model