Lowe's
Lead Product Manager, Innovation – New Frontiers
$112K–$212K
Kirkland, WA (SSC) 1395 +1 · Flex · Manager · Full-time · Posted Nov 3, 2026
- Location
- Kirkland, WA (SSC) 1395
Lowe's Charlotte Technology Hub 3505 - Experience
- 7+ years across two of the listed fields.
- Education
- Bachelor’s degree in engineering, computer science, business, design, or a related field; equivalent relevant experience may be considered in lieu of a degree.
About the job
Leads early-stage emerging-technology product discovery and experimentation, turning technical possibilities into customer-focused use cases and evidence-based investment recommendations for Lowe’s.
What you'll do
- Set the New Frontiers portfolio strategy and lead discovery, applied R&D, and experimentation for initiatives.
- Translate technical capabilities into product visions, hypotheses, roadmaps, success measures, and executive-ready recommendations.
- Partner across engineering, design, research, business teams, and external organizations to evaluate opportunities and recommend whether to iterate, invest, scale, pause, or stop.
What they ask for
- Bachelor’s degree in a related field; equivalent relevant experience may be considered in lieu of a degree.
- 7+ years of experience across two listed areas, including product management, product marketing, applied engineering, development, R&D, entrepreneurship, or business analysis.
- Experience defining product direction, roadmaps, hypotheses, and prioritization tradeoffs in ambiguous environments.
- Experience working cross-functionally with engineering and design teams.
Nice to have
- Applied engineering expertise in frontier domains; Physical AI, robotics, embodied AI, computer vision, autonomous systems, or world-model development strongly preferred.
- Experience bringing emerging-technology solutions to market, or working in a high-ambiguity innovation, startup, or research environment.
Pay
$111,600.00 - $212,000.00 annually (base salary)
Tools
Physical AI, robotics, world models, quantum computing, autonomous vehicles, computer vision, spatial computing, advanced manufacturing
AI focus
Evaluates and advances emerging technology opportunities, including Physical AI, robotics, embodied AI, computer vision, autonomous systems, and world models, through discovery, prototyping, and experimentation.
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