Agentic AI Process Engineer

Half analyst, half engineer. Sits with operations, support, sales, or finance teams, maps the workflow in detail, then builds the agent that automates the right slice of it. Knows the difference between automating and amputating a process.

Indicative comp$160K – $230K base (US, senior)

Ranges are indicative US base salary at senior level. Actual offers depend on company stage, equity, and candidate strength.

What this role actually owns

Shadow a team for a week. Find the workflow that is leaking the most time.
Build an agent that owns part of the workflow, with a human approval gate.
Measure adoption and time-saved. Iterate based on what the operator actually does.
Document the process — both the human and the agent version — so the team can hand off.
Decide when to expand scope and when to stop.

What we screen for

5+ years engineering, with a stretch into ops, support, or analyst-adjacent work.
Has shipped an internal tool that an ops team actually uses every day.
Comfortable interviewing non-engineers and translating their work into a spec.
Has built at least one agent that runs against internal APIs in production.
Bonus: experience with browser/computer-use agents.

Sample job description

A starting point you can paste into your ATS and adjust. The exact wording matters less than the rubric — the bullets above are what we'll calibrate against during search.

Agentic AI Process Engineer

Bridges ops and engineering — finds repeatable workflows in the business and replaces them with agents that actually ship value.

You'll own:

Shadow a team for a week. Find the workflow that is leaking the most time.
Build an agent that owns part of the workflow, with a human approval gate.
Measure adoption and time-saved. Iterate based on what the operator actually does.
Document the process — both the human and the agent version — so the team can hand off.

We're looking for:

5+ years engineering, with a stretch into ops, support, or analyst-adjacent work.
Has shipped an internal tool that an ops team actually uses every day.
Comfortable interviewing non-engineers and translating their work into a spec.
Has built at least one agent that runs against internal APIs in production.
Bonus: experience with browser/computer-use agents.