技术产品负责人，AI 邮件应用，人工智能（AI）需求
Technical Product Lead, AI Email Applications, Artificial Intelligence (AI) Requ
技术产品负责人，AI邮件应用，人工智能（AI）必需 - 远程办公
作为技术产品负责人，AI邮件应用，您将在用户需求、模型能力和工程限制的交汇点上工作。技术产品负责人将直接与机器学习（ML）和工程团队合作，定义系统的行为方式、衡量方式以及持续改进的方式。这是一个高度技术性、需要亲自动手的角色。您需要理解系统并挑战技术决策。此职位要求具备人工智能（AI）和机器学习（ML）能力。该职位为100%远程办公。
必须愿意参加60分钟的编程评估。
技术产品负责人职责：
- 为人工智能（AI）功能定义端到端的需求，从模型行为到系统行为再到用户体验。
- 将模型能力、评估结果和技术约束转化为清晰的产品和系统决策。
- 在质量、延迟、成本、可靠性、安全性及用户体验之间做出权衡。
- 与机器学习（ML）、后端和客户端工程师紧密合作，进行系统设计、评估和迭代。
- 定义并不断演进评估框架，涵盖离线指标、在线实验和人工反馈。
- 建立针对AI驱动体验的明确质量标准和反馈循环。
- 通过清晰的规格说明、优先级排序和强大的技术判断力推动执行。
- 识别故障模式，确保人工智能（AI）系统行为可预测并能优雅恢复。
- 全面负责产品的质量、正确性、可靠性、实用性和用户信任。
技术产品负责人资格：
- 需要具备人工智能（AI）和机器学习（ML）经验。
- 具备扎实的计算机科学基础和系统设计能力。
- 对现代机器学习（ML）有深入理解，并了解人工智能（AI）系统在生产环境中的表现。
- 能够阅读技术设计，理解架构，并与工程师深入交流。
- 对模型限制、幻觉、评估和故障模式有较强的直觉。
- 有全面负责复杂技术产品的显著经验。
- 有AI驱动产品的实际操作经验，特别是基于大语言模型（LLM）的系统。
- 有模型评估、实验、提示或人工智能（AI）系统迭代的经验。
查看英文原文
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.
- Experience with model evaluation, experimentation, prompting, or Artificial Intelligence (AI) system iteration.
- Ability to turn ambiguous problems into clear requirements, measurable outcomes, and executable plans.
- Strong judgment and the ability to make decisions when the right answer is not obvious.
- Highly technical, curious, and comfortable going deep.
- Strong bias toward shipping, experimentation, and learning from real-world usage.
- Able to challenge engineers and researchers constructively while maintaining strong collaboration.
- Comfortable operating with significant ownership in a fast-moving, zero-to-one environment.
- An engineering background is a strong plus, but what matters most is the ability to reason deeply about - both AI systems and product outcomes.
Nice to have:
- Experience shipping AI-heavy consumer products.
- Background as an engineer or highly technical product manager.
- Experience defining evaluation metrics for Machine Learning (ML) systems.
- Strong intuition for Artificial Intelligence (AI) UX patterns and failure handling.
- Prior experience in zero-to-one product environments.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, AI, Artificial Intelligence, AI Email Applications, LLM, Large Language Model, ML, Machine Learning, Technical Product Lead, UX, User Experience, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
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Originally posted on Himalayas