AI Deployment Lead

Brain Co.
San Francisco
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Structured problem-solving","Hypothesis-driven planning","Synthesis under ambiguity","Executive communication","Stakeholder management"]

Own high-stakes government AI deployments from discovery through production adoption and expansion, running 2–4 complex deployments personally while building the team and operating cadence to scale many at once. Translate agency workflows into buildable AI requirements, define value cases and learning agendas, manage multi-workstream delivery with rigorous execution, and drive adoption and change management. Convert field evidence into reusable product capabilities and partner on renewal expansion.

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FursaFursa
Brain Co.
Brain Co.
1 day ago

AI Deployment Lead

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Own high-stakes government AI deployments from discovery through production adoption and expansion, running 2–4 complex deployments personally while building the team and operating cadence to scale many at once. Translate agency workflows into buildable AI requirements, define value cases and learning agendas, manage multi-workstream delivery with rigorous execution, and drive adoption and change management. Convert field evidence into reusable product capabilities and partner on renewal expansion.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key 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 by shaping scope, success criteria, stakeholder maps, resourcing, dependencies, acceptance criteria, and a workplan agreed by the executive sponsor before kickoff.
  • •Translate agency workflows and desired outcomes into an MVP, technical requirements, sequencing decisions, and a delivery roadmap Product and Engineering can execute.
  • •Run multi-workstream delivery with clear owners, milestones, dependencies, weekly operating cadence, crisp status synthesis, and early escalation.
  • •Drive adoption and change management, build trusted relationships with senior public-sector stakeholders, and convert field evidence into reusable product capabilities, playbooks, and evaluation patterns.
Travel: High travel

Pay and Benefits

Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •7+ years leading complex, senior-stakeholder client programs, including enterprise deployment leadership, AI/ML deployment, complex implementation, or comparable program leadership.
  • •Experience taking an AI/ML or data-related complex technical product from ambiguous problem framing through production use and adoption.
  • •Technical fluency in AI/ML and enterprise systems, including workflow/data mapping, integrations, evaluations, model behavior, and production/security constraints.
  • •A rigorous operating toolkit: hypothesis-driven workplans, synthesis under ambiguity, and the ability to manage both a team and a client concurrently.
  • •Demonstrated senior-client leadership as a trusted day-to-day counterpart to executives and the ability to communicate clearly across technical, operational, and executive audiences.
Experience:7+ years
Skills:Structured problem-solvingHypothesis-driven planningSynthesis under ambiguityExecutive communicationStakeholder management
Tech Stack:AI/MLDataEnterprise systems

Company Brief

Brain Co.
Brain Co. builds agent-native operating systems for regulated institutions across government, health, insurance, finance, and enterprise. Its platform emphasizes secure deployment, workflow integration, and AI applications tailored to complex operational environments.
Industry: AI & Machine Learning
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
Founded: 2026
WebsiteLinkedIn