AI Product Manager

Location: Hybrid in London, United Kingdom

Company

hirify.global is building a proactive AI assistant for everyday users, focused on making conversations, errands, organisation, and workflows more intelligent and efficient.

What you will do

• Research and define end-to-end AI system requirements, from model capabilities and system behavior to user impact.
• Translate model capabilities, data constraints, and evaluation results into product and system decisions.
• Make trade-offs across quality, latency, cost, reliability, and user experience.
• Work with ML, backend, and mobile engineers on system design, evaluation, and iteration.
• Define evaluation frameworks using offline metrics, online experiments, and human feedback.
• Own product quality end to end, including correctness, predictability, reliability, and user trust.

Requirements

• Strong computer science fundamentals, including algorithms, data structures, and system design.
• Solid understanding of machine learning fundamentals and modern AI systems in production.
• Hands-on experience with AI-powered products, including LLM-based systems.
• Experience with model evaluation, prompt or pipeline iteration, and feedback loops.
• Significant experience owning complex technical products end to end and working closely with senior engineers and ML teams.
• Strong judgment and ability to execute independently in ambiguous, fast-moving environments.

Nice to have

• Experience shipping AI-heavy consumer products.
• Background as an engineer or highly technical product manager.
• Experience defining evaluation metrics for ML systems.
• Experience with AI UX patterns, failure handling, or zero-to-one product environments.

Culture & Benefits

• Work with a small, high-talent-density, hands-on team.
• Collaborative decision-making with rapid execution and an emphasis on high-quality delivery.
• Strong autonomy, structure, judgment, and independent execution are expected.
• Interviews are conducted via virtual meetings and/or onsite.
• Expect a prompt hiring decision after three to four interviews if there is a strong fit.

Hiring process

• Complete three, and no more than four, interviews.
• Interviews are conducted virtually and/or onsite and are evaluated by technical team members.