Technical Product Lead: AI Systems & UX

ActAI; Northern (KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

ActAI is seeking a deeply technical Technical Product Lead for AI Email App. You will define how AI behaves, measure it, and drive improvements across model and system capabilities.

This role blends user needs, ML insights, and engineering constraints to ship reliable AI-powered experiences. You will own evaluation frameworks, balance quality and cost, and work with ML, backend, and client engineers to push forward end-to-end product quality and user trust.

Qualifications

• Strong CS 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 deeply 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 to 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

AI in prod

Reading designs

Model evaluation

Decision making

Tools

LLMs

AI tooling

Job description

ActAI is seeking a deeply technical Technical Product Lead for AI Email App. You will define how AI behaves, measure it, and drive improvements across model and system capabilities.

This role blends user needs, ML insights, and engineering constraints to ship reliable AI-powered experiences. You will own evaluation frameworks, balance quality and cost, and work with ML, backend, and client engineers to push forward end-to-end product quality and user trust.