产品经理
Product Manager
职位描述
我们正在寻找一位经验丰富的AI产品经理，他/她热衷于打造客户喜爱的智能产品。你将加入一个充满活力、快节奏的环境，与跨职能团队——工程、数据科学、设计和市场推广——合作，设计、构建并推出AI驱动的产品，以实现公司的愿景和战略。这个职位位于应用AI/ML、客户成果和商业策略的交汇点：你将定义我们要构建什么、为什么构建以及如何在快速发展的AI环境中衡量成功。
你将负责的工作
- 主导AI产品路线图——包括基于大语言模型的功能、预测模型、代理工作流程和机器学习驱动的自动化——将客户需求转化为优先级明确、以结果为导向的计划。
- 深入理解客户体验，识别AI能带来不成比例价值的产品缺口，并提出能扩大市场份额、提升客户体验并推动增长的新想法。
- 与数据科学家、机器学习工程师和软件工程师紧密合作，评估模型范围，权衡准确性、延迟、成本和用户体验之间的取舍，并以快速的上市时间和最优资源交付产品。
- 将产品策略转化为详细的需求和原型，包括用户故事、最小可行产品范围、验收标准、模型评估标准以及与可衡量客户成果相关的KPI框架。
- 定义并监控AI功能的成功指标——包括模型性能（精确率、召回率、准确率）、用户采用率和业务影响）——通过仪表盘和定期报告向高管层汇报。
- 对新的AI能力进行结构化的自研/采购/合作分析，包括对基础模型供应商、第三方AI供应商和开源替代方案的评估。
- 根据业务和客户影响来规划和优先处理活动，平衡短期收益与长期AI投资。
- 与市场、公关、高管和其他产品经理协作推动产品发布——包括清晰地传达AI能力，避免过度承诺。
- 评估营销计划，确保信息准确传达AI能力及其局限性，并与整体产品线策略保持一致。
- 作为AI产品的倡导者——内部和外部——建立对我们的AI能力的认知、理解和信任。
- 代表公司拜访客户
查看英文原文
About the Role
We're hiring a Senior Product Manager to own a core part of our supply chain orchestration product. You'll work with customers whose operations depend on orders, shipments, and partner transactions moving correctly across companies and systems. Your job is to find where those workflows break down, decide what to build, and deliver products that measurably improve how our customers operate.
This is a senior, individual-contributor role. You'll own a product area from discovery through adoption, make prioritization calls across customer, platform, and commercial needs, and bring roadmap decisions and results to executive leadership. You'll go deep on technical details with engineering, and you'll apply AI where it clearly helps: diagnosing exceptions, guiding resolution, and removing manual work.
You'll work with Engineering, UX, Architecture, and Data Scientist in product development, and with Sales, Customer Success, Services, and Marketing to bring products to market.
What You Will Be Doing
Lead supply chain product strategy
- Own the product strategy and roadmap for supply chain orchestration, prioritizing by customer problem, business value, and fit with the platform.
- Develop a deep understanding of workflows such as order-to-cash, order fulfillment, shipment execution, and supplier and customer collaboration, including the exceptions that occur across organizational boundaries.
- Run discovery with operations users and business leaders. Turn workflow gaps into scalable product capabilities, and separate reusable opportunities from customer-specific customization.
- Define and track the outcomes your product should improve, such as order cycle time, on-time delivery, exception resolution time, manual effort, and trading partner onboarding time.
- Partner with Sales, Customer Success, Services, and Marketing to validate demand, position launches around customer value, enable field teams, and drive adoption after release.
Drive technical product decisions
- Define requirements for workflows spanning ERP, WMS, TMS, and trading partner systems, including APIs, EDI transactions, and business events.
- Work with engineering and architecture on data models, integration behavior, observability, security, reliability, and design tradeoffs.
- Turn strategy into clear requirements, prototypes, acceptance criteria, and phased releases, and lead build, buy, or partner decisions.
Apply AI where it creates measurable value
- Identify and prioritize AI use cases, such as exception diagnosis, guided resolution, and workflow automation, based on customer value, feasibility, and data readiness.
- With engineering, define how each AI capability will be evaluated and when a person needs to review or approve its actions. Measure task success, reliability, adoption, cost, and business impact.
Your Qualifications
Required
- 5+ years of product management experience, including significant time owning an enterprise or B2B SaaS product area end to end.
- Supply chain expertise in workflows such as order-to-cash, fulfillment, shipment execution, or trading partner collaboration, gained in product, consulting, or operations roles. You understand the users, the exceptions, and the metrics.
- A track record of taking products from discovery through launch and adoption, with measurable business results.
- Strong technical fluency in APIs, EDI, enterprise integration patterns, data models, and SaaS architecture. You can discuss tradeoffs with engineers in depth.
- Practical understanding of what modern AI, including LLMs and agent-based workflows, can and can't do, and the ability to define fit-for-purpose evaluations with technical partners.
- Sound judgment on priorities, the ability to influence without authority, and a record of presenting decisions and results to executives.
- Clear writing and communication, including explaining technical and AI concepts to business audiences.
- Bachelor's degree in engineering, computer science, supply chain, business, or a related field, or equivalent practical experience.
Preferred
- Experience serving manufacturing, distribution, retail, or 3PL/logistics customers.
- Working knowledge of EDI standards (X12, EDIFACT) and common ERP, WMS, or TMS platforms (e.g., SAP, Oracle, NetSuite, Microsoft Dynamics).
- Experience with B2B integration, iPaaS, or supply chain execution software.
- Has shipped at least one AI-enabled capability, such as LLM-based features, agentic workflows, or human-in-the-loop automation.
- Familiarity with responsible AI practices that matter to enterprise customers, such as auditability, explainability, and human approval controls.
- ASCM/APICS certification (CSCP, CPIM, or CLTD).
Travel
· 10–15% travel to visit customer sites and operations, meet partners, attend industry events, and join team planning sessions.
Why Join Us
- Shape the AI strategy and roadmap of a fast-growing company at a defining moment in the AI industry.
- High-visibility role with direct exposure to executive leadership and top customers.
- Work with a talented, cross-functional team of engineers, data scientists, and designers building the future of intelligent software.
- $130,000 to $150,000 base salary + annual bonus opportunity
We use artificial intelligence (AI) tools to assist in certain stages of our recruitment process, such as resume screening and candidate matching. These tools are designed to support fair and consistent evaluations. If you have questions about this process or would like to request an alternative assessment method, please contact us at .
Cleo Communications US, LLC is an equal opportunity/affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.
Originally posted on Himalayas