Senior Product Marketing Manager, Embodied AI

The role

This person will define the market narrative, positioning, and messaging for embodied AI. They will turn technical capabilities into customer-facing proof and develop campaigns to build awareness and interest.

What you will do

• Co-develop and sharpen category, positioning, and messaging for embodied AI
• Build messaging around the embodied AI stack
• Partner with technical teams to turn capabilities into customer-facing proof
• Ensure messaging distinguishes current products from the roadmap
• Build and maintain a target-account list for robotics and physical AI
• Run competitive intelligence to inform positioning and enablement
• Shape pricing, packaging, and product-led growth motions
• Develop and execute campaigns to build awareness and interest
• Build co-marketing and case-study partnerships with robotics OEMs and simulation ecosystems

Required qualifications

• Meaningful time in the physical AI space as an engineer-turned-marketer, marketing lead at a robotics or physical AI company, or a deep practitioner in the ecosystem
• Comfort operating in a category that is still taking shape
• 5+ years of experience in product marketing, integrated marketing, technical sales, or category creation across robotics, autonomous systems, simulation, or physical AI
• Track record of defining emerging categories and translating complex technology into a clear narrative
• Ability to build credibility with technical buyers and executive stakeholders
• Strong judgment and a builder's mindset
• Bachelor's degree in a relevant field, or equivalent experience

Nice to have

• Experience creating POVs, conference talks, partner content, customer stories, and practical buyer frameworks
• Hands-on familiarity with NVIDIA Isaac Sim

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• 401(k)
• Comprehensive benefits package

About the company

Niantic Spatial builds spatial AI models and services so people and machines can reason, learn and act safely in the physical world. They build a living, measured record of the real world that machines can query and use to understand how places change over time.