USA remote
Technical Product Lead, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home
About this role
Technical Product Lead, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home As Technical Product Lead, AI Email Applications, you will work at the intersection of user needs, model capability, and engineering constraints. The Technical Product Lead will work directly with Machine Learning (ML) and engineering teams to define how the system should behave, how we measure it, and how we continuously improve it.
This is a deeply technical, hands-on role. You are expected to understand the system and challenge technical decisions. Artificial Intelligence (AI) and Machine Learning (ML) are required for this opportunity. This position is 100% Remote. MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT. Technical Product Lead Responsibilities: - Define end-to-end requirements for Artificial Intelligence (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 Machine Learning (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 Artificial Intelligence (AI) systems behave predictably and recover gracefully. - Own product quality end-to-end, correctness, reliability, usefulness, and user trust. Technical Product Lead Qualifications: - Artificial Intelligence (AI) and Machine Learning (ML) experience required. - Strong computer science fundamentals and system design skills.
- Solid understanding of modern Machine Learning (ML) and how Artificial Intelligence (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. - Significant experience owning complex, technical products end-to-end. - Hands-on experience with AI-powered products, particularly LLM-based systems.