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.

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.

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.