Databook is the AI guided selling platform and decision-support system built for enterprise GTM teams. Its three-layer architecture—verified customer-back intelligence, structured agentic reasoning, and guided coaching with closed-loop analytics—gives revenue organizations the consistency, confidence, and leadership visibility they need to win complex enterprise deals. Databook's customers drive more than $500B in annual revenue and include Salesforce, Microsoft, Databricks, Konica Minolta, and Schneider Electric. Learn more at www.databook.com http://www.databook.com.
Role summary: Build the revenue operating system for enterprise selling
For twenty years, enterprise sales has run on Systems of Record: CRMs that capture what happened, but do little to help a seller decide what to do next. Databook is building the revenue operating system that replaces them. It starts from a shared World Model of the companies, people, strategies and events in the market, so every account arrives already understood. On top of it, Databook reasons over the account, the deal and the seller's context, links events over time, and recommends the next best action with the evidence behind it.
We are looking for a Director of AI Product Development to lead how that product is designed, built, tested and shipped for some of the largest sales organizations in the world. You will report to the CEO, spend real time with customers, work hand in hand with our Applied AI engineering, Data & Insights and GTM AI Strategy & Deployment teams, and lead a team of Agent Builders who configure our agentic workflows and build quality assurance into them. Customer deployments are run by our AI Strategy & Deployment team; your focus is the product they deploy.
This is not a technical product management role. We are looking for sharp judgement, a deep understanding of how enterprise selling actually works, and refined product taste: someone who can tell the difference between an AI output that is technically correct and one a CRO or seller will act on. You have shipped AI applications into enterprise production, you know the domain, and you want a leadership role where the learning curve is steep and the impact is direct, working with some of the most sophisticated go-to-market teams in the world.