Product Owner, AI Email App

Location: London, Greater London, United Kingdom; hybrid work. Interviews may be conducted virtually and/or onsite.

Company

hirify.global is building proactive AI-native applications that help people manage conversations, errands, organizing, and workflows with minimal prompting.

What you will do

• Define end-to-end requirements for AI capabilities spanning model behavior, system behavior, and user experience.
• Translate model capabilities, evaluation results, and technical constraints into product and system decisions.
• Balance quality, latency, cost, reliability, safety, and user experience trade-offs.
• Collaborate closely with ML, backend, and client engineers on system design, evaluation, and iteration.
• Build evaluation frameworks covering offline metrics, online experiments, and human feedback.
• Own product quality, correctness, reliability, usefulness, predictable failure handling, and user trust.

Requirements

• Strong computer science fundamentals and system design skills.
• Solid understanding of modern ML and AI systems in production.
• Ability to read technical designs, understand architectures, and engage deeply with engineers.
• Significant experience owning complex technical products end-to-end.
• Hands-on experience with AI-powered products, particularly LLM-based systems, including model evaluation, experimentation, prompting, or AI system iteration.
• Ability to turn ambiguous problems into clear requirements, measurable outcomes, and executable plans.

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.
• Strong intuition for AI UX patterns and failure handling.
• Prior experience in zero-to-one product environments.

Culture & Benefits

• Small, high-talent-density, hands-on team with broad ownership.
• Independent execution and strong judgment are expected from engineering and product leaders.
• Fast decision-making and close collaboration, balanced with engineering fundamentals.
• Strong focus on shipping, experimentation, and learning from real-world usage.
• Prompt decisions and a transparent, efficient working style.

Hiring process

• Applications are evaluated by technical team members.
• Three, and no more than four, interviews are expected if there is a potential fit.
• Interviews are conducted via virtual meetings and/or onsite, followed by a prompt decision.