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About the role
- AI Architect at Databook developing reasoning frameworks and decision paths for enterprise-scale AI agents in Fortune 100 organizations. Collaborating with Product and Engineering to enhance sales workflows and outputs.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- 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.
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