Job Opportunities API

ABOUT BRAIN CO. Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world’s most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. Our progress so far: - Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value - Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses - Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work Company momentum: - Raised a $55M Series A from leading investors - Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. We are looking for leaders who want to help bring new technology into institutions that impact millions of people.   ABOUT THE ROLE We’re hiring a senior AI Deployment Lead to own the end-to-end delivery of our enterprise engagements. You’ll partner closely with clients to understand their goals, drive program success, and turn deployed AI into adopted workflows that stick while owning the commercial agenda within each account and building the trust that grows the relationship over time. You’ll work at the intersection of product, engineering, and the customer. You’ll translate complex needs into partnership proposals, showing both commercial and technical strategy. You’ll then drive a cross functional team to land delivery and the people-and-process change that real adoption demands. From there, drive negotiations and delivery of all expansion efforts. As the voice of the customer, you’ll be accountable for outcomes, not just rollouts. While much of our work anchors in regulated enterprises, a commercially-minded leader could drive deployments across a range of engagements.   KEY RESPONSIBILITIES The areas below are representative of the role. The exact mix will vary by engagement and grow as the company scales. - 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 recommenda