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Databook

engineering opportunity

Prompt Engineer, Applied AI

Design the core intelligence that powers Databook’s AI agents, focusing on how they reason and take action across sales workflows. Collaborate with Product and Engineering teams to ground designs in real-world sales execution.

Toronto, Ontario, CanadaremoteFULL_TIME

Posted

About the role

What will you do at Databook?

Wanted: an AI Architect, part strategist, part technologist, who shapes how AI

agents think, decide, and act inside a live production platform. You don’t work

on theoretical slide decks; you live in the logic layer where strategy becomes

execution.

This is not a role at a small GTM startup. This is an enterprise-scale role. The

systems you design run inside Fortune 100 sales organizations, influence

billions of dollars in revenue, and process billions of tokens for tens of

thousands of users in always-on production environments.

You design the intelligence behind the scenes: reasoning frameworks, decision

paths, and instruction systems that turn raw models into dependable agentic

process automations at massive scale.

If your idea of fun is building AI that runs the sales engines of the world’s

largest enterprises, you belong here.

About Databook

Databook is the AI force behind the world’s most successful sales organizations.

Trusted by giants like AWS, Microsoft, and Salesforce, our platform empowers

tens of thousands of sellers at these industry leaders to sell smarter, faster,

and with a competitive edge only real intelligence delivers. We’re a VC-backed

team working from North America, South America, Europe, and South Asia, and

Southeast Asia - solving the toughest challenges for sales leaders. Here, your

work directly shapes the strategies and results of the biggest names in the

industry.

What You’ll Do

  • * Design the core intelligence that powers Databook’s AI agents-how they
  • reason, prioritize, and take action across sales workflows.
  • * Translate proven GTM strategy and sales methodology into structured agent
  • behavior, decision frameworks, and reusable patterns.
  • * Author and evolve agent instructions, prompt systems, constraints, and
  • evaluation criteria that make AI outputs reliable and scalable.
  • * Define quality bars and testing approaches for agent behavior-consistency,
  • accuracy, judgment, and usefulness at scale.
  • * Contribute to a growing internal library of agent patterns and intelligence
  • components that accelerate future development.
  • * Collaborate primarily with Product and Engineering, with selective field
  • exposure to ground designs in real-world sales execution.
  • Note: Your work hours are Pacific time zone
  • You Bring
  • * 2-5 years of experience in top-tier consulting (e.g., McKinsey, Bain, BCG),
  • investment banking, strategy, or a comparable analytical role-or a technical
  • product role
  • * Strong intuition for how complex business processes operate, especially in
  • B2B sales and go-to-market.
  • * Strong demonstrable interest in modern AI systems-LLMs, prompt design, agent
  • workflows, retrieval/context, and evaluation techniques.
  • * Comfort operating inside a Product & Engineering environment, partnering with
  • product, engineers, and customers.
  • * High autonomy, ownership, intellectual curiosity, and a builder’s mindset.
  • Why Databook?
  • * Impact: Your work powers sales teams at the biggest and most ambitious
  • companies.
  • * Flexibility: Work from wherever you are, as part of a global team.
  • * Growth: Learn, experiment, and expand your skill set in a high-caliber team.
  • * Culture: Entrepreneurial, collaborative, and focused on real-world results.
  • Ready to bring your wizardry to Databook? Apply now.

Which skills does this role require?

AI ArchitectureStrategic ThinkingTechnological ExpertiseB2B SalesGo-To-Market StrategyPrompt DesignAgent WorkflowsEvaluation TechniquesProduct CollaborationEngineering CollaborationIntellectual CuriosityAutonomyOwnershipBuilder's MindsetAIArchitectureSalesConsultingInvestment BankingStrategyB2BGo-To-MarketProductEngineeringAWSLLMsSalesforce

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