前玮科技（上海）有限公司

Technical Product Manager

高科技/人工智能

广州, 上海, 北京, 深圳

经验不限

本科

¥50 - 100K15薪

公司介绍

前玮科技（上海）有限公司成立于2024年03月15日，注册地位于上海市静安区江场三路238号1601室，法定代表人为LOW YU WEI。经营范围包括一般项目：技术服务、技术开发、技术咨询、技术交流、技术转让、技术推广；工程和技术研究和试验发展（除人体干细胞、基因诊断与治疗技术开发和应用，中国稀有和特有的珍贵优良品种）；信息技术咨询服务；信息咨询服务（不含许可类信息咨询服务）。（除依法须经批准的项目外，凭营业执照依法自主开展经营活动）

职位描述

Company A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior.   Role This is a deeply technical, hands-on role. Work directly with engineers on system design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. You work at the intersection of user needs, model capability, and system constraints, and are responsible for turning AI potential into real, reliable behavior in a real-world application.   What You'll be Doing Research and define end-to-end AI system requirements from capability to behavior to user impact Translate model capabilities, data constraints, and evaluation results into clear product and system decisions Make hard trade-offs across quality, latency, cost, reliability, and UX Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback Drive execution with clear specs, strong judgment, and disciplined prioritization Ensure systems ship quickly, safely, and reliably, with strong feedback loops Own product quality end-to-end - correctness, predictability, and user trust    

职位要求

What You Will Need Technical foundation Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. Comfort reading, reviewing, and discussing technical design documents. AI & ML experience Hands-on exposure to AI-powered products, including LLM-based systems. Experience working with model evaluation, prompt or pipeline iteration, and feedback loops. Strong intuition for model limitations, hallucinations, bias, and drift. Product leadership Significant experience owning complex, technical products end-to-end. Proven ability to work closely with senior engineers and ML teams. Strong judgment and decision-making ability in ambiguous, fast-moving environments. Ability to balance ambition with technical and operational reality.   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 experience in zero-to-one product environments.   Outcomes Product strategy clearly aligns AI capabilities with user needs and company priorities. AI features deliver real value, are understandable, predictable, and trusted by users. Decisions balance quality, speed, cost, and reliability effectively under uncertainty. Roadmaps and priorities are clear, with fast iteration based on real user feedback. Teams are aligned, focused, and able to execute on AI product goals with minimal friction.   How We Work The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product.  

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