Principal Product Manager, AI

Armada Armada · Enterprise · Bellevue, Sunset Corporate · R&D - Product

Principal Product Manager, AI to lead the development and delivery of AI products for Industrial and Public Sector customers. This role involves working closely with engineering, design, and go-to-market teams to bring AI-powered solutions to life, focusing on driving execution and owning the product lifecycle. The ideal candidate will have extensive experience shipping production-grade AI products, a deep understanding of AI/ML technologies, and experience with hardware-integrated products.

What you'd actually do

  1. Drive Execution: Own the end-to-end delivery of AI products from requirements, Epics and user stories to development, QA, and launch in close collaboration with engineering and design teams.
  2. Product Delivery: Translate high-level product strategy into detailed, actionable product plans. Define and refine product requirements, user flows, and acceptance criteria for AI features and tools.
  3. Customer Engagement: Partner with customers, partners, and internal stakeholders to validate product decisions, gather feedback, and iterate based on real-world usage.
  4. Roadmap Input: Contribute to and maintain a tactical product roadmap that aligns with overarching goals. Prioritize features based on technical feasibility, customer value, and time-to-market.
  5. Cross-functional Collaboration: Work day-to-day with ML engineers, platform engineers, designers, and QA to ensure successful and timely delivery of product milestones.

Skills

Required

  • 15+ years of Product Management experience
  • at least 3–5 years delivering AI/ML-powered solutions
  • Demonstrated success in shipping production-grade AI products in B2B or industrial/public sector environments
  • Deep understanding of AI and ML technologies including supervised learning, transformers, neural nets, and generative AI
  • Experience working on hardware-integrated products such as IoT devices (e.g., drones, body cams, cameras, sensors)
  • Strong UX sensibility and experience partnering with design teams to create user-friendly, AI-driven experiences
  • Excellent documentation and communication skills
  • Experience working in agile environments

Nice to have

  • Master’s or MBA

What the JD emphasized

  • shipping high-quality products
  • shipping production-grade AI products
  • real-world deployment challenges
  • hardware-integrated products

Other signals

  • AI infrastructure
  • AI products
  • AI factory
  • AI solutions
  • AI-powered solutions
  • AI innovation
  • AI features
  • AI use cases
  • AI/ML-powered solutions
  • AI and ML technologies
  • AI-driven experiences
  • AI/ML
  • generative AI
  • predictive analytics
  • image classification