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AI Deployment Lead

Brain Co.· AI Deployment
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Hybrid (San Francisco Bay Area)Full-timePosted 1mo ago

About the role

AI Deployment Lead for government engagements, owning deployments from discovery to production adoption and expansion, while building the team, playbooks, and cadence to run multiple deployments with high quality.

Responsibilities

  • 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.

Qualifications

  • 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: 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.

Skills

Required:Deployment leadership

Benefits

  • Competitive compensation including salary, equity, and performance incentives.
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Brain Co.

AI for the world's most important institutions

Building an AI platform and applications to deliver impact for real-world problems.

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