Agent Builder/Solutions Engineer

Databook•Palo Alto, CA

76d•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 an Agent Builder / Forward Deployed Engineer to create AI-powered guided coaches and agentic workflows used across every part of the go-to-market engine. You’ll design agents for a wide range of personas and use cases - from meeting prep and account strategy to value modeling, forecasting, pipeline reviews, customer service, and executive decision support. You’ll own everything from requirements and workflow design to prompting, data mapping, routing logic, eval harnesses, and customer iteration. If you enjoy turning complex business processes into clear, reliable, production-ready AI workflows, this role is for you. This is a fully remote role based anywhere in the United States.

Requirements

Strong business acumen with the ability to understand customer workflows, surface current-state problems, and translate desired future-state outcomes into deterministic agent logic
Experience in a customer-facing role such as forward-deployed engineering, solutions engineering, value consulting, RevOps, or similar functions where you owned both problem discovery and solution design
Ability to work through ambiguous cross-functional processes and turn them into structured, scalable workflows that can support multiple personas and industries
Experience writing PRDs, workflow diagrams, logic specifications, or similar design documentation
Familiarity with APIs, SQL, JSON, Salesforce objects, Slack data, enterprise systems, and data orchestration
Ability to translate ambiguous, cross-functional workflows into structured agent logic that scales across personas and industries
Experience building eval harnesses with edge cases, gold outputs, confidence scoring, and hallucination safeguards
Comfortable working directly with customers as a forward-deployed engineer, field engineer, or solutions engineer
Strong communication and storytelling skills, especially when presenting technical decisions to senior leaders
Experience operating in fast-moving environments and iterating quickly using measurable evaluation feedback

Nice To Haves

Experience in B2B SaaS, RevOps, AI copilots, or enterprise workflow design is a plus
Bonus: experience with golden dataset creation, closed-loop analytics, or agent optimization

Responsibilities

Design, build, and deploy agentic workflows and guided coaches for a broad set of GTM and customer-facing personas (AE, BDR, CSM, Value Engineering, SE/SAs, RevOps, CS Leadership, Marketing, Support, and more)
50% of your time will be spent directly with customers to understand their current-state workflows, map problem areas, define desired future-state outcomes, and ensure the agent solves the real business need
Own customer relationships throughout the design and deployment cycle, serving as a trusted partner on workflow strategy and adoption
Translate ambiguous, cross-functional business processes into structured agent logic with clear inputs, transformations, decisions, and outputs
Develop and refine prompts, tools, routing logic, validation steps, and reasoning patterns inside each workflow
Build and maintain evaluation harnesses (test cases, gold outputs, rubrics, hallucination checks) to ensure predictable, repeatable, and trusted agent performance
Test agents across real-world edge cases including: sparse CRM data, conflicting inputs, new logo vs existing, industry-specific differences, persona-specific expectations, and public vs private financial contexts
Create PRDs, workflow specs, sequence diagrams, and “before vs after” clarity documents
Collaborate closely with Sales, Product, Engineering, and Customer Success to ensure agents meet real user needs and align to Databook’s architecture
Own “demo readiness” of workflows: fast runtime, transparent data sourcing, explainability, and narrative clarity
Present workflows and reasoning paths to internal and external stakeholders, including executives
Document agent behavior, guardrails, safety patterns, and failure modes
Serve as a strategic advisor to customers on agentic workflow design, enterprise AI readiness, data requirements, and ongoing iteration