Sales Engineer

Databook•Palo Alto, CA

28d•Remote

About The Position

Databook is the world’s first AI-powered enterprise customer intelligence platform. Dubbed “Moneyball for Sales”, Databook was founded in 2017 to give enterprise sales representatives and go-to-market teams a differentiating advantage. Today, leading enterprise companies rely on Databook to help their teams engage as experts – improving the buying experience for customers and accelerating revenue acquisition. Our customers include Microsoft, Salesforce, Databricks, and more. We are a Series B company backed by Bessemer Ventures, DFJ Growth, M12 - Microsoft’s Venture fund, Salesforce Ventures and Threshold Ventures. We are a customer-focused, innovative, and collaborative learning organization. We are headquartered in Palo Alto, CA with a distributed team working across the globe. Databook is hiring a Sales Engineer to partner with Account Executives on net-new logo acquisition and revenue growth within our ideal customer profile. You’ll be the technical and value partner in the sales cycle, showing prospects how Databook creates stronger executive alignment, clearer outside-in narratives, and more predictable revenue outcomes. Your day to day will focus on helping customers understand the value of Databook through tailored demos, POVs, proof of concepts, technical validation, and crisp financial storytelling. You’ll help prospects see how Databook uses intelligence, AI agents, and unified data to change the way they run meetings, build strategies, and make decisions. If you thrive in high-growth environments and want to help define the future of AI-powered selling, this is the place for you. This is a fully remote opportunity and can be worked from any location in the United States.

Requirements

5+ years in a presales or technical customer-facing role (Sales Engineer, Solutions Engineer, Solutions Architect, TAM, etc.)
Strong discovery, value-selling, and business outcome framing skill set
Experience running and owning POCs and technical validation cycles
Ability to translate complex workflows into simple, narrative-ready explanations
Familiarity with Salesforce, CRM data structures, and enterprise integrations
Working knowledge of APIs, LLMs, SaaS architecture, and data integration concepts
Executive presence and excellent communication skills (verbal, written, and presentation)
Comfortable operating in fast-moving, ambiguous, high-growth environments

Nice To Haves

experience explaining or demoing AI workflows, value narratives, or decision-support tools

Responsibilities

Partner with AEs to run net-new logo opportunities end-to-end
Lead discovery to understand customer goals, workflows, KPIs, and value levers
Deliver compelling, narrative-led demos grounded in customer financials and strategic priorities
Own and execute technical validation, proof of concepts, and security reviews
Translate customer requirements into clear solution designs, POVs, and recommended workflows
Guide prospects through Databook best practices, data integrations, and AI-assisted workflows
Coordinate with Product, Engineering, and Customer Success on roadmap feedback and customer needs
Represent Databook with confidence and credibility in conversations with VP and C-level audiences
Ensure prospects clearly understand Databook’s differentiation versus generic AI copilots and internal builds