
Technical Product Lead, AI Email Applications, Artificial Intelligence
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in California.
• Define comprehensive requirements for Artificial Intelligence (AI) capabilities, encompassing model behavior, system functionality, and user experience.
• Convert model capabilities, evaluation findings, and technical limitations into clear product and system decisions.
• Make informed trade-offs regarding quality, latency, cost, reliability, safety, and user experience (UX).
• Collaborate closely with Machine Learning (ML), backend, and client engineers on system design, evaluation, and iterative processes.
• Establish and refine evaluation frameworks that incorporate offline metrics, online experiments, and human feedback.
• Set clear quality standards and feedback mechanisms for AI-driven experiences.
• Drive project execution through precise specifications, prioritization, and sound technical judgment.
• Identify potential failure modes and ensure that Artificial Intelligence (AI) systems operate predictably and can recover smoothly.
• Take ownership of product quality from start to finish, including accuracy, reliability, usefulness, and user trust.
• Proven experience in Artificial Intelligence (AI) and Machine Learning (ML) is essential.
• Strong foundational knowledge in computer science and system design.
• Deep understanding of contemporary Machine Learning (ML) practices and the operational behavior of Artificial Intelligence (AI) systems in production environments.
• Proficient in interpreting technical designs, comprehending architectures, and engaging thoroughly with engineers.
• Strong intuition regarding model limitations, hallucinations, evaluation processes, and failure scenarios.
• Extensive experience managing complex, technical products from inception to completion.
• Practical experience with AI-powered products, particularly those based on large language models (LLMs).
• Familiarity with model evaluation, experimentation, prompting, or the iterative development of Artificial Intelligence (AI) systems.
• Ability to translate vague problems into clear requirements, measurable results, and actionable plans.
• Strong decision-making skills and the ability to exercise judgment when solutions are not immediately apparent.
• Highly technical, inquisitive, and comfortable delving into complex subjects.
• A strong inclination towards delivering results, experimentation, and learning from real-world applications.
• Capable of constructively challenging engineers and researchers while fostering strong collaboration.
• Comfortable with substantial ownership in a dynamic, zero-to-one environment.
• MUST BE WILLING TO COMPLETE A 60-MINUTE CODING ASSESSMENT.
• An engineering background is a significant advantage.
• Experience in launching AI-centric consumer products is a plus.
• A background as an engineer or a highly technical product manager is beneficial.
• Familiarity with defining evaluation metrics for Machine Learning (ML) systems is an asset.
• Strong intuition for user experience (UX) patterns and failure management in Artificial Intelligence (AI) is desirable.
• Previous experience in zero-to-one product development environments is advantageous.
• Medical insurance
• Dental insurance
• Vision insurance
• Savings Plan Options
• PTO
• Remote work / work from home
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