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Databook is an AI-guided selling platform and decision-support system built for enterprise go-to-market (GTM) teams. The platform combines verified customer intelligence, structured agentic reasoning, and guided coaching with closed-loop analytics to help revenue organizations win complex enterprise deals. Databook's customers include Salesforce, Microsoft, Databricks, Konica Minolta, and Schneider Electric, collectively driving over $500B in annual revenue.
In this role, you will manage a portfolio of enterprise clients and partner with sales leaders at leading tech and consulting firms to accelerate business growth through innovative AI-powered solutions. You will own the full customer lifecycle from pre-sales through post-sales delivery, with a focus on onboarding, adoption, retention, and expansion.
Key responsibilities include:
- Lead value-driven pre-sales engagements with compelling, outcome-focused demonstrations aligned to customer priorities. Conduct technical discovery to assess workflow fit and data feasibility, identifying expansion opportunities through increased platform adoption.
- Own seamless post-sales delivery by partnering with customers and the Applied AI team. Work with Agent Builders to deploy agentic workflows and lead go-live readiness including QA and UAT.
- Ensure smooth customer onboarding and enablement aligned with business objectives.
- Develop and execute multi-year strategic account plans, including stakeholder maps, expansion roadmaps, and mutual success plans.
- Orchestrate co-sell and co-marketing initiatives with partner ISV and AppExchange teams to generate joint pipeline.
- Drive customer satisfaction and adoption rates to secure renewals and build long-term partnerships.
- Conduct quarterly business reviews to assess progress and align strategies with customer goals.
- Identify opportunities to expand workflows and drive demand generation efforts.
- Build champion networks and develop strong relationships with key stakeholders within client organizations.
- Monitor key metrics including net retention rate, account consumption of deployed workflows, and account relationship health.
- Collaborate with Product and Engineering teams to identify new agentic patterns that drive GTM productivity.
Requirements:
- 5+ years in strategy and operations roles, with at least 3 years at a top-tier strategy firm (McKinsey, Bain, BCG) or within a Big 4 strategy practice, leading go-to-market and commercial excellence programs.
- Regular engagement with C-level executives, providing strategic counsel and building trusted relationships at the highest organizational levels.
- Deep expertise in revenue operations technology stack, including CRM, CMS, ABM, and Sales Intelligence platforms. Hands-on experience applying AI/ML solutions to optimize revenue operations and customer success strategies.
- Familiarity with Sales, Salesforce, and the Sales SaaS/AI tech domain.
- Strategic and operational agility with high emotional intelligence. Reputation as a change agent who balances big-picture strategic framing with hands-on execution.
- Bachelor's degree required; MBA or advanced degree preferred.
