AI Deployment Lead - GTM

Brain Co. is an applied AI startup focused on delivering impactful AI applications across critical industries. The AI Deployment Lead will be responsible for managing enterprise engagements, ensuring successful delivery and adoption of AI solutions while building strong client relationships.

Responsibilities:

• Run discovery and engagement operations, leading structured discovery with customers, developing value sizing and product proposals, mapping their needs, and running the day-to-day rhythm of an engagement so nothing falls through the cracks
• Own end-to-end delivery: own your engagements from kickoff to adoption: lead delivery sprints and deployment timelines, coordinate the cross-functional delivery team, and ensure timely, high-quality, audit-ready solutions in regulated environments
• Define and prioritize features: partner with clients to identify high-impact problems across their workflows, and define the AI-driven product features that address them
• Translate business needs: convert customer requirements and operational pain points into clear technical specifications and use cases for internal engineering teams
• Drive adoption and change management: onboard stakeholders and engage users, lead the people-and-process change required for new ways of working to take hold, and gather direct feedback to drive continuous improvement
• Drive program success and commercial expansion: partner with the client to deliver measurable program outcomes, and own the commercial agenda within each account, building the trust and impact that expand our relationship over time
• Support AI diligence and value creation: contribute to deep-dive assessments of target companies’ AI strategies, data infrastructure, and technical maturity, and help shape plans that connect AI capabilities to commercial outcomes
• Bridge business and technology: translate complex AI/ML capabilities into actionable recommendations for investment committees, portfolio executives, and senior client stakeholders
• Collaborate cross-functionally: serve as the bridge between customers and internal teams, including data scientists, engineers, and product leads