8 часов назад
AI Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Product Manager (AI): Defining and executing end-to-end AI system requirements for a proactive smart assistant with an accent on reliability, multi-step reasoning, and model evaluation. Focus on balancing technical constraints with user needs to deliver predictable, high-value AI features.
Location: Must be based in the United States
Company
is a high-talent density startup building a proactive smart assistant designed to bring intelligence to everyday workflows and tasks for global users.
What you will do
- Research and define end-to-end AI system requirements from capability to user impact.
- Translate model capabilities, data constraints, and evaluation results into clear product decisions.
- Make trade-offs across quality, latency, cost, reliability, and UX.
- Collaborate with ML, backend, and mobile engineers on system design and iteration.
- Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback.
- Own product quality end-to-end, ensuring correctness, predictability, and user trust.
Requirements
- Must have the right to work in the United States
- 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.
- Significant experience owning complex, technical products end-to-end.
- Hands-on exposure to AI-powered products, including LLM-based systems.
- Proven ability to work closely with senior engineers and ML teams.
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.
- Prior experience in zero-to-one product environments.
Culture & Benefits
- Work in a high-talent density, hands-on team environment.
- Collaborative decision-making with rapid execution speed.
- Opportunity to build a product used by billions globally.
- Focus on transparency, efficiency, and high-quality output.
Hiring process
- Evaluation by technical team members.
- 3 to 4 interviews conducted via virtual meetings or onsite.
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