AI Deployment Lead - GTM

Brain Co.
San Francisco
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Communication","Stakeholder management","Narrative building","Ownership","Building trust","Cross-functional collaboration"]

Own end-to-end delivery of enterprise AI engagements, from discovery and value sizing to deployment timelines, adoption, and audit-ready outcomes in regulated environments. Partner with clients to define high-impact AI-driven features, translate business needs into technical specifications, and drive people-and-process change. Build trust through measurable program results and expansion strategy, while bridging customers with internal product, engineering, and data teams.

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FursaFursa
Brain Co.
Brain Co.
1 month ago

AI Deployment Lead - GTM

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Own end-to-end delivery of enterprise AI engagements, from discovery and value sizing to deployment timelines, adoption, and audit-ready outcomes in regulated environments. Partner with clients to define high-impact AI-driven features, translate business needs into technical specifications, and drive people-and-process change. Build trust through measurable program results and expansion strategy, while bridging customers with internal product, engineering, and data teams.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Run discovery and engagement operations, including structured discovery, value sizing, product proposals, and day-to-day engagement rhythm.
  • •Own end-to-end delivery from kickoff to adoption, leading deployment timelines, coordinating cross-functional teams, and ensuring audit-ready solutions.
  • •Define and prioritize AI-driven product features based on client workflow problems.
  • •Translate customer requirements into clear technical specifications and use cases for internal engineering teams.
  • •Drive adoption and change management, and support program success and commercial expansion across each account.

Pay and Benefits

Perks:Equity

Key Requirements

  • •10+ years of professional experience.
  • •Background in top-tier consulting, private equity, investment banking, AI/product companies, or technical/operating roles in large enterprises or financial institutions.
  • •Experience working with customers or clients, leading discovery, building trust, and navigating senior stakeholders.
  • •Commercial instinct: think through value, pricing, and what it takes to win and grow an account.
  • •Success driving people-and-process change at large enterprises, including workflow transformation and adoption at scale.
Experience:10+ yearsConsultingPrivate equityInvestment bankingAI product companiesRegulated enterprises
Skills:CommunicationStakeholder managementNarrative buildingOwnershipBuilding trustCross-functional collaboration
Tech Stack:AIAI/MLMachine learningAgentsAtlas

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