About the position 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.

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.