Lead Product Management Specialist

Boeing Boeing · Aerospace · Seattle, WA +5

Lead Product Management Specialist for an AI-enhanced managed cloud platform serving internal application teams and external program stakeholders across commercial, US government (IL4/IL5), and sovereign environments. The role focuses on setting integrated vision, prioritizing cross-service work, and resolving roadmap conflicts to deliver a unified platform that inherits compliance controls, compresses ATO timelines, and reduces cloud spend.

What you'd actually do

  1. Own the integrated product vision and strategy for the managed cloud platform, ensuring seven service lines across three pillars deliver a unified value proposition to internal application teams and external program stakeholders
  2. Set cross-service prioritization and sequencing, resolving conflicts between pillar roadmaps (e.g., when modernization service demand outpaces runtime onboarding capacity, or when compliance automation timelines constrain operations feature releases)
  3. Define the platform's fit within Boeing which programs onboard first, what the minimum viable platform looks like for each classification level, and how the platform evolves from pilot to enterprise-wide adoption
  4. Hold product authority over pillar product managers
  5. Provide direction to the Senior PM for operations services

Skills

Required

  • technical product management
  • cloud platforms (AWS, Azure)
  • infrastructure as code (Terraform)
  • automation tools (Puppet, Ansible, Chef)
  • product strategy
  • product development
  • product support
  • cloud security frameworks
  • compliance standards (NIST, FedRAMP, DoD SRG, DISA STIGs)
  • cloud platform engineering

Nice to have

  • Aerospace & Defense experience
  • Federal IT experience
  • regulated industry experience
  • Financial Operations (FinOps) practices
  • cloud spend governance
  • Kubernetes-based platforms
  • container orchestration
  • managed runtime services
  • AI/Machine Learning (ML)-driven operations (AIOps, autonomous remediation, predictive scaling)
  • golden image lifecycle management
  • automated patching
  • infrastructure-as-code at scale
  • product operating model experience

What the JD emphasized

  • 10+ years of experience with technical product management
  • 5+ years of experience with cloud platforms (e.g. AWS or Azure), infrastructure as code (e.g., Terraform), and automation tools (e.g. Puppet, Ansible, Chef etc.)
  • Experience with cloud security frameworks and compliance standards such as National Institute of Standards and Technology (NIST), Federal Risk and Authorization Management Program (FedRAMP), Department of Defense Security Requirements Guide (DoD SRG), and Defense Information Systems Agency Security Technical Implementation Guides (DISA STIGs)