Director of AI Products
DevsData LLC
Salary: 12,000-15,000 USD/Month
Warsaw, Hybrid (4 days/week)
Full-time
B2B
We are looking for a Director of AI Products to join a New York-headquartered AI company building infrastructure for enterprise AI agents. The platform encodes a company's policies, workflows, and operational logic into a structured data model, so agents produce auditable, repeatable outcomes instead of plausible-sounding guesses. Customers include global consumer brands, logistics operators, and financial institutions.
Requirements:
Product leadership experience, including hiring, managing, and developing a team of product managers
Track record of contributing to product strategy and converting it into shipped, measured outcomes rather than roadmaps that stall
Practical experience building with LLMs and agent systems: evaluation frameworks, handling non-determinism, designing for user trust under probabilistic output, and separating what is buildable now from what is not
Demonstrated prioritization: deciding what does not get built, optimizing for outcome rather than volume of releases, and declining work without damaging relationships
Direct customer contact as a working habit, with impact defined in the customer's metrics
A stated position on where the agentic AI market is heading and how to position against it
Experience building for enterprise security requirements, including how sensitive data moves through AI workflows
Written and verbal communication that survives contact with engineers, executives, and buyers, without jargon
Daily use of AI tools inside your own product workflow, with a verification standard applied to the output
Nice to Have:
Production experience with agentic systems: tool calling, orchestration, retrieval, or LLM-backed products at scale
Experience shipping or selling to enterprise buyers with audit, reliability, and trust requirements
Technical depth sufficient to hold credibility with senior engineers and assess feasibility independently
Key Responsibilities:
Shape product direction alongside the CEO and CTO, then sequence the bets and set the delivery plan
Lead, hire, and grow a team of AI-native product managers, and raise the hiring bar as the team scales
Work hands-on with designers and engineers from problem definition through shipped product
Ship agentic AI products enterprises can rely on, with the evaluation infrastructure, trust surface, and UX that production demands
Ground every product decision in direct customer evidence, and define success in user and business terms
Apply AI across research, definition, and prototyping, with a high verification bar on what the tools return