Sr. Manager, Product Management – Physical AI Solutions

The Recruiting Hive

Peachtree City (GA)

On-site

USD 180,000 - 240,000

Full time

3 days ago
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Job summary

The Recruiting Hive is recruiting on behalf of a leading organization for a Senior Manager, Product Management - Physical AI Solutions. You will drive product strategy, oversight of AI-enabled portfolios, and coordinate across engineering, operations, and commercial teams to accelerate growth and adoption.

The role emphasizes translating customer needs into market-ready solutions, mentoring Product Managers, and shaping multi-year roadmaps that align with strategic tech partnerships and new

Qualifications

  • Bachelor’s degree in Engineering, Computer Science, Data Science, Business, Robotics, GIS, or related field.
  • 10+ years of product management/tech leadership experience.
  • 3+ years leading Product Managers or跨功能 teams.
  • Proven success taking tech products from concept to commercialization.
  • Experience defining product strategy, roadmaps, and business cases.
  • Strong understanding of AI/ML, CV, digital twins, robotics, or intelligent automation.
  • Excellent leadership, communication, and stakeholder management skills.

Responsibilities

  • Define product strategy, multi-year roadmaps, and portfolio priorities.
  • Lead, mentor, and develop Product Managers and cross-functional teams.
  • Drive product development, commercialization, and lifecycle management.
  • Translate customer needs and emerging technologies into scalable solutions.
  • Partner with engineering, operations, commercial teams, and executives.
  • Develop business cases, track KPIs, and drive revenue growth and profitability.
  • Establish strategic technology partnerships and identify new market opportunities.

Skills

Product management leadership
Cross-functional leadership
Strategic thinking
Communication
Stakeholder management
Customer needs translation
AI/ML understanding
Vision to commercialization
Leadership and mentoring

Education

Bachelor’s degree in Engineering/CS/Data Science/Robotics/GIS

Tools

AI/ML concepts
Digital twins
Robotics software

Job description

Senior Manager, Product Management - Physical AI Solutions

We are recruiting on behalf of a leading organization for a Senior Manager, Product Management - Physical AI Solutions to drive product strategy, innovation, commercialization, and growth across its Physical AI portfolio.

This leader will oversee solutions integrating AI, computer vision, digital twins, robotics, autonomous systems, and advanced sensing technologies to address infrastructure inspection and asset management challenges.

Key Responsibilities
  • Define product strategy, multi-year roadmaps, and portfolio investment priorities.

  • Lead, mentor, and develop Product Managers and cross-functional teams.

  • Drive product development, commercialization, and lifecycle management.

  • Translate customer needs and emerging technologies into scalable, market-ready solutions.

  • Partner with engineering, operations, commercial teams, and executive leadership.

  • Develop business cases, track KPIs, and drive revenue growth, adoption, and profitability.

  • Establish strategic technology partnerships and identify new market opportunities.

Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, Data Science, Business, Robotics, GIS, or a related field.

  • 10+ years of experience in product management, technology leadership, or solution development.

  • 3+ years of experience leading Product Managers or cross-functional teams.

  • Proven success taking technology products from concept to commercialization.

  • Experience defining product strategy, roadmaps, and business cases.

  • Strong understanding of AI/ML, computer vision, digital twins, robotics, or intelligent automation.

  • Excellent leadership, communication, and stakeholder management skills.

Preferred Qualifications
  • MBA, MS, or other relevant advanced degree.

  • Experience in utilities, telecommunications, infrastructure, or asset-intensive industries.

  • Background in AI-driven products, digital transformation, or integrated software and sensor solutions.

  • Familiarity with cloud platforms, analytics, and enterprise software business models.

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