Field-Facing AI/ML Product Manager – Enterprise Deployments

Amazon Web Services (AWS)

Seattle (WA)

Presencial

USD 151.000 - 205.000

Tempo integral

há 5 horas
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Resumo da vaga

Amazon Web Services, Inc. is seeking a product manager embedded in a Forward Deployed Engineering (FDE) delivery pod.

You will own the product lifecycle for customer engagements—from discovery through production delivery—inside enterprise environments with regulated data and legacy infrastructure. This is a field-facing role with significant travel (30-50%), shaping outcomes and driving platform improvements with engineering.

Qualificações

  • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent.
  • 5+ years in product management in enterprise environments.
  • Experience building AI/ML products or with agentic systems and enterprise workflow automation.
  • Experience defining product requirements and success criteria aligned with engineering.
  • Experience engaging with Director-level or senior technical stakeholders.

Responsabilidades

  • Partner with sales and senior PMs to perform customer discovery and map business goals.
  • Work with engineering to define MVP, success criteria, and quantify business value.
  • Own customer outcomes inside enterprise environments with data governance constraints.
  • Drive adoption by iterating based on user feedback and measuring business impact.

Conhecimentos

Product management experience
Enterprise engagement
AI/ML product knowledge
Requirements definition
Stakeholder engagement

Formação

Bachelor's degree in computer science or related field
Master's degree in engineering / related field

Descrição da vaga

Amazon Web Services, Inc. is seeking a product manager embedded in a Forward Deployed Engineering (FDE) delivery pod.

You will own the product lifecycle for customer engagements—from discovery through production delivery—inside enterprise environments with regulated data and legacy infrastructure. This is a field-facing role with significant travel (30-50%), shaping outcomes and driving platform improvements with engineering.

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