Sales Engineer, Databook
Plus equity
More information about location
Strategic Relationship Management platform
Be an early applicant
Strategic Relationship Management platform
101-200 employees
Be an early applicant
Plus equity
More information about location
101-200 employees
Company mission
To help improve rep performance at scale.
Role
Who you are
- If you thrive in high-growth environments and want to help define the future of AI-powered selling, this is the place for you
- 3+ 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
- Bonus: experience explaining or demoing AI workflows, value narratives, or decision-support tools
What the job involves
- 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
- This is a fully remote role based anywhere in the United States or Canada and reports directly to the Head of Solutions
- 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
Our take
Databook delivers the industry's first Strategic Relationship Management (SRM) platform, to enable sellers to create, manage, and maintain strategic relationships at scale. The platform encompasses a range of tools to help sales teams increase productivity and performance, with the flexibility to grow with companies as they develop.
The platform provides data-driven insights on everything from opportunity intelligence to propensity to buy, and stands out for crafting deliverables that are customized to key clients. Running entirely out of the cloud, it also makes it possible for its clients to minimize hardware outlay. By providing personalized, real-time insights, Databook makes it possible for successful businesses to expand their operation by recognising which companies are the most likely to buy.
Competition in this field is rife, with HubSpot Sales Hub, Guru, Showpad Content and Highspot among the companies rivalling Databook. But the solution has been praised for being particularly user-friendly, with key features accessible via a few straightforward clicks. Databook now serves an impressive roster of clients, including Microsoft and Salesforce, and was recognised as a which is a clear indicator of the company’s reputation and scalability.
Steph
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2022
$50m
SERIES B
Apr 2021
$16m
SERIES A
Total funding: $71m
Company benefits
- Equity
- Employee referral bonus program
- $500 USD (or local currency equivalent) learning stipend
- Complimentary subscription to Masterclass
- $750 USD (or local currency equivalent) budget for home office equipment
- Medical, Dental and Vision care contributions 🇺🇸
- 401k Retirement Plan 🇺🇸
- 4 weeks vacation plus holidays 🇺🇸
Company HQ
Palo Alto, CA
Leadership
Anand Shah
(CEO)They were an Analyst at Ernst & Young, then Goldman Sachs. Formerly an Engagement Partner at Accenture. Co-founded Databook in 2016.
Alex Barrett
(Product)They studied Modern Languages at Cambridge University. Producer at Al Jazeera, Blakeway Productions and the BBC. Co-founded Databook in 2016.
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