4 дня назад
Staff Product Manager (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (AI/ML): Designing and launching supply chain management products for ordering, inventory, fulfillment planning, and network design with an accent on mathematical optimization, machine learning, and AI-agent integration. Focus on defining product strategy, translating operational problems into scalable decision systems, and driving experimentation with engineering, data science, and operations teams.
Location: Taipei, Taiwan
Company
operates an e-commerce retail and logistics network supporting Rocket Delivery and Rocket Overseas services in Taiwan.
What you will do
- Own product strategy, roadmaps, backlogs, KPIs, prioritization, and scope for supply chain management product areas.
- Write PRDs covering problems, goals, metrics, requirements, user stories, acceptance criteria, dependencies, and open questions.
- Partner with retail, warehouse operations, inventory, category management, S&OP, inbound planning, engineering, and data science stakeholders to secure alignment and deliver measurable outcomes.
- Design and launch AI, machine learning, mathematical optimization, and operations research-integrated products for ordering, scheduling, placement, inventory rebalancing, and network design.
- Conduct user acceptance testing, define success metrics, run A/B tests, and iterate using operational and real-time data.
- Analyze operational data, identify cost-efficiency opportunities, and rapidly prototype product hypotheses with AI tools and advanced analytics.
Requirements
- Bachelor’s degree in a technical or quantitative discipline.
- 5+ years of product management experience and a track record of shipping products at scale.
- Experience shipping at least one non-trivial optimization or machine-learning-backed product to production.
- Fluency in English is required for PRDs, technical specifications, executive updates, and daily collaboration with global engineering and data science teams.
- Ability to translate complex operational processes into scalable, AI-integrated business solutions and influence senior stakeholders without formal authority.
- Hands-on data fluency, including SQL analysis; willingness to bridge strategic product work with tactical operational execution.
Nice to have
- Experience with fulfillment center planning, automated inventory management, route scheduling, or network capacity design.
- Experience with vendor-facing systems, purchase order management, inbound planning, or inbound operations.
- Experience shipping AI-agent products, including agent tools, guardrails, and human handoffs.
- Python skills sufficient for prototyping and reading data science code.
Culture & Benefits
- Work closely with local operations, business teams, global technology teams, engineering, and data science.
- Operate with significant autonomy in an ambiguous, science-heavy product environment.
- Engage directly with instock managers, buyers, planners, and fulfillment center operations to understand operational issues.
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