Product Lead, AI Email App
Bjakcareer · United States
About this role
## About the Role Build proactive, AI-native email experiences for users who aren’t used to complex prompting. You’ll work at the intersection of user needs, model capability, and engineering constraints—helping define how the system behaves, how it’s measured, and how it continuously improves. This is a deeply technical, hands-on role where you’re expected to understand the system and challenge technical decisions. --- ## What You’ll Own - Define end-to-end requirements for AI capabilities (model behavior → system behavior → 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 - Partner with ML, backend, and client engineers on system design, evaluation, and iteration - Define and evolve evaluation frameworks (offline metrics, online experiments, and human feedback) - Establish quality bars and feedback loops for AI-powered experiences - Drive execution via clear specifications, prioritization, and strong technical judgment - Identify failure modes and ensure predictable, graceful recovery - Own product quality end-to-end: correctness, reliability, usefulness, and user trust --- ## What We’re Looking For ### Technical - Strong computer science fundamentals and system design skills - Solid understanding of modern ML and how AI systems behave in production - Comfortable reading technical designs and engaging deeply with engineers - Strong intuition for model limitations, hallucinations, evaluation, and failure modes ### Product & AI - Experience owning complex, technical products end-to-end - Hands-on experience with AI-powered products, especially LLM-based systems - Experience with model evaluation, experimentation, prompting, or AI system iteration - Ability to turn ambiguous problems into clear requirements, measurable outcomes, and executable plans - Strong judgment to make decisions when the right answer isn’t obvious ### Mindset - Highly technical, curious, and comfortable going deep - Bias toward shipping, experimentation, and learning from real-world usage - Ability to challenge engineers and researchers constructively while collaborating - Comfortable operating with significant ownership in a fast-moving, zero-to-one environment --- ## 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 zero-to-one product experience --- ## Outcomes - AI strategy aligns capabilities with user needs and company priorities - AI features deliver real value that’s understandable, predictable, and trusted - Decisions balance quality, speed, cost, and reliability under uncertainty - Clear roadmaps and priorities with fast iteration from real user feedback - Teams are aligned and able to execute with minimal friction --- ## How We Work Small, high-talent-density, hands-on team. Broad ownership, fast decisions, and strong engineering fundamentals—less process, more building. --- ## Interview Process - If there’s a fit, you’ll be invited to schedule **3 interviews** (no more than **4**) - Interviews via virtual meetings and/or onsite - Prompt decisions with a focus on transparency and efficiency --- *Product Lead, AI Email App* — an invitation to help bring practical AI benefits to billi
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