Product Manager - Agentic AI for Retail Innovation

BICP

Carlsbad (CA)

Presencial

USD 120 000 - 160 000

Tempo integral

Há 8 dias

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Resumo da oferta

BICP, a San Diego-based AI, Data & Analytics consultancy, seeks an experienced Product Manager, Agentic AI, to join our team in an embedded capacity with a strategic client in apparel/retail. You will drive AI product discovery, define roadmaps, and collaborate with AI engineers and business stakeholders to deliver production-ready solutions.

You will translate complex concepts into clear business decisions, guide prioritization, and own adoption, with accountability for measurable business

Qualificações

  • Experience owning software or data products from discovery through launch.
  • Proven experience delivering AI/ML capabilities into production.
  • Understanding of generative AI, LLMs, agent workflows, and their limitations.
  • Ability to translate business needs into executable product plans.
  • Strong listening and written communication with stakeholders.

Responsabilidades

  • Lead product discovery with business teams to understand workflows and opportunities for AI.
  • Define product vision, roadmaps, requirements, acceptance criteria, and success measures.
  • Partner with engineers and data scientists to deliver production-ready products.
  • Translate complex technical concepts into clear business decisions.
  • Own launch planning, user feedback, adoption, and ongoing improvement.

Conhecimentos

Product management
AI/ML delivery
Stakeholder management
Requirements gathering
Communication

Ferramentas

Data platforms
APIs
Cloud infrastructure
AI monitoring

Descrição da oferta de emprego

BICP, a San Diego-based AI, Data & Analytics consultancy, seeks an experienced Product Manager, Agentic AI, to join our team in an embedded capacity with a strategic client in apparel/retail. You will drive AI product discovery, define roadmaps, and collaborate with AI engineers and business stakeholders to deliver production-ready solutions.

You will translate complex concepts into clear business decisions, guide prioritization, and own adoption, with accountability for measurable business

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