AI Systems Product Manager — Hands-On & Impactful

ActAI; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

ActAI is seeking a technically focused Product Manager, AI Systems, in Greater London to bridge user needs with ML capabilities and engineering constraints. You will define system behavior, measure it, and continuously improve AI-powered experiences.

This hands-on role requires deep system thinking, comfort challenging technical decisions, and close collaboration with ML and backend engineers to deliver reliable, trustworthy AI products.

Qualifications

• Strong computer science fundamentals and system design skills.
• Solid understanding of modern ML and how AI systems behave in production.
• Comfortable reading technical designs, understanding architectures, and engaging with engineers.
• Strong intuition for model limitations, hallucinations, evaluation, and failure modes.

Responsibilities

• Define end-to-end requirements for AI capabilities, from model behavior to system behavior and user experience.
• Translate model capabilities, evaluation results, and technical constraints into clear product and system decisions.
• 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.
• Drive execution through clear specifications, prioritization, and strong technical judgment.
• Identify failure modes and ensure AI systems behave predictably and recover gracefully.
• Own product quality end-to-end, correctness, reliability, usefulness, and user trust.

Skills

CS fundamentals

System design

ML in production

Evaluation & testing

AI risk & safety

Job description

ActAI is seeking a technically focused Product Manager, AI Systems, in Greater London to bridge user needs with ML capabilities and engineering constraints. You will define system behavior, measure it, and continuously improve AI-powered experiences.

This hands-on role requires deep system thinking, comfort challenging technical decisions, and close collaboration with ML and backend engineers to deliver reliable, trustworthy AI products.