AI Deployment Lead

Rebuild how the world works, to make institutions work better for the people they serve.

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.

Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.

You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.

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.

• Lead 2–4 of Brain Co.’s most complex government deployments personally while overseeing the broader portfolio as the team grows.

• Engage before close to de-risk delivery: shape scope, success criteria, stakeholder maps, resourcing, data and integration dependencies, acceptance criteria, and a workplan the customer’s executive sponsor has bought into before kickoff.

• Translate agency workflows and desired outcomes into an MVP, technical requirements, sequencing decisions, and a delivery roadmap that Product and Engineering can execute.

• Define a value case and learning agenda for each deployment and product line, including impact hypotheses, baselines, adoption measures, and success KPIs.

• Run multi-workstream delivery with rigor: clear owners, milestones, dependencies, weekly operating cadence, crisp status synthesis, and early, honest escalation.

• Protect the critical path by surfacing risks early, making clear scope/speed/quality trade-offs, and leading decision-ready executive readouts.

• Drive adoption and change management, including stakeholder onboarding, training, operating-model changes, and sustained use after go-live.

• Build durable relationships with mayors, city managers, CIOs, agency heads, program leaders, and frontline users, so issues surface early and Brain Co. becomes a trusted operating partner.

• Turn field evidence into reusable product capabilities, evaluation patterns, playbooks, templates, and staffing models that shorten time to value on future deployments.

• Run the deployment reviews and product-feedback cadence that converts customer signal into clear roadmap decisions.

• Partner with sales team on renewal and expansion by translating proven deployment outcomes into the next highest-value use case, without losing scope discipline.

• Navigate the security, procurement, legal, compliance, and systems-of-record constraints that come with public-sector deployments.

• Hire, develop, and manage deployment leads as volume grows, setting the bar for what great looks like by doing it first.

What We’re Looking For

• 7+ years of experience leading complex, senior-stakeholder client programs—enterprise deployment leadership, AI / ML deployment, complex implementation, or program leadership at a high-growth software company, or comparable client-facing program leadership.

• Demonstrated experience taking an AI/ML, data, or other complex technical product from ambiguous problem framing through production use and adoption.

• Technical fluency in AI/ML and enterprise systems: you can map workflows and data, reason about integrations, evaluations, model behavior, security and production constraints, and pressure-test a delivery plan with engineers. You do not need to write production code.

• A rigorous operating toolkit: structured problem-solving, hypothesis-driven workplans, synthesis under ambiguity, managing a team and a client at the same time, and the confidence to deliver hard messages early and constructively.

• Demonstrated senior-client leadership—you’ve been the trusted day-to-day counterpart to executives and can build that trust quickly with elected officials, agency heads, and career public servants alike.

• Product instinct: you can distinguish a configuration request from a product insight, and you’ve worked closely enough with product/engineering teams to speak their language and earn their trust.

• Builder’s temperament: you’d rather create the playbook than inherit one, and you can hold high standards while shipping imperfect v1s of process.

• Clear, decision-oriented communication across technical, operational, and executive audiences.

• Comfort with 30–50% travel and genuine enthusiasm for working inside government buildings with the people who run them.

Nice to Haves

• Public-sector delivery experience (govtech or civic tech).

• Familiarity with government procurement, security reviews, and contracting norms.

• Experience deploying AI/ML products.

• Experience hiring and managing delivery teams.

If you’re excited about helping modernize government and bringing frontier AI into the public sector, we’d love to hear from you.

Remote; candidates based in San Francisco are expected to work in office (hybrid, 3 days/week in office).

Competitive compensation including salary, equity, and performance incentives.