Product Engineer (AI Email App)

Location: London, United Kingdom; Hybrid

Company

hirify.global is a small, high-talent-density team building proactive AI-native applications for conversations, errands, organization, and workflows.

What you will do

• Define end-to-end requirements for AI capabilities across model behavior, 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 user experience.
• Collaborate with ML, backend, and client engineers on system design, evaluation, and iteration.
• Define evaluation frameworks spanning offline metrics, online experiments, and human feedback.
• Own product quality, correctness, reliability, usefulness, and user trust end-to-end.

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.
• Experience with model evaluation, experimentation, prompting, or AI system iteration.

Nice to have

• Engineering background or experience as a highly technical product manager.
• Experience shipping AI-heavy consumer products.
• Experience defining evaluation metrics for ML systems.
• Experience in zero-to-one product environments.

Culture & Benefits

• Small, hands-on team with broad ownership and independent execution.
• Fast decision-making and close collaboration across engineering and product.
• Strong focus on shipping, experimentation, and learning from real-world usage.
• Hybrid work in London, with interviews conducted virtually and/or onsite.
• Typically three, and no more than four, interviews followed by a prompt decision.

Hiring process

• Applications are evaluated by technical team members.
• Expect three, and no more than four, interviews via virtual meetings and/or onsite.
• Decisions are intended to be prompt.