We’re hiring an AI Deployment Lead to own our most consequential government
engagements from discovery through production adoption and expansion, while building
the team, playbooks, and operating cadence that let us run many deployments at once
without quality slipping.
Most companies treat deployments as a cost center between sale and renewal. We think
they’re the engine of the company: the place where client trust is earned and where the
product learns fastest. The person who runs that engine well will shape Brain Co.’s product,
reputation, and growth more than almost anyone else here.
This is a player-coach role. You will personally lead 2–4 of our most complex deployments
while overseeing the broader portfolio as the team grows. You will operate at the
intersection of deployment and product development: translating agency workflows into
buildable AI solutions, orchestrating cross-functional delivery, and turning field evidence
into reusable product capabilities.
The role knits together two concurrent mandates:
•
Client experience, end to end. You own the client’s experience across the full arc—from the sales rep’s first handoff, through relationship-building with mayors, city managers, CIOs, agency heads, and their teams, through deployment quality and adoption, to renewal and expansion. Clients should experience one coherent Brain Co., not a relay race between sales, delivery, product, and engineering.
•
Deployments as product R&D. Every deployment is a structured opportunity to mature the product. You will work with Product and Engineering to decide—deliberately, before kickoff—what each deployment should teach us, then run the deployment so it produces that learning: which workflows generalize, which configurations should become product, which client asks are one-offs versus roadmap signal. You turn the accident of “field feedback” into an intentional product-maturation engine.