As Technical Product Manager, AI Systems, you work at the intersection of user needs, model capability, and engineering constraints. You will work directly with ML and engineering teams to define how the system should behave, how we measure it, and how we continuously improve it.
Define end-to-end requirements for AI capabilities, from model behavior to system behavior to user experience.
– Make trade-offs across quality, latency, cost, reliability, safety, and UX.
– Work closely with ML, backend, and client engineers on system design, evaluation, and iteration.
– Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback.




– Establish clear quality bars and feedback loops for AI-powered experiences.
– Own product quality end-to-end, correctness, reliability, usefulness, and user trust.
Background as an engineer or highly technical product manager.
– Strong intuition for AI UX patterns and failure handling.
– Decisions balance quality, speed, cost, and reliability effectively under uncertainty.
– We make decisions quickly, work closely together, and balance speed with engineering fundamentals. Interviews will be conducted via virtual meetings and/or onsite.

📌 Technical Product Manager (España)
🏢 Bjak
📍 España