Worldwide GTM Specialist - Physical AI, Worldwide GTM - Physical AI

Key Job Responsibilities

• Lead GTM motions to scale sales, marketing, partner, product, enablement, and professional services teams with Physical AI solutions, thinking through challenges on a 1‑3+ year time scale.
• Leverage domain expertise in robotics, simulation, autonomous systems, or industrial automation to create best‑in‑class field enablement and sales strategy.
• Support field teams in solution building for high‑priority customers across manufacturing, logistics, energy, and other industrial verticals.
• Bring market signals back to product teams to drive innovation on AWS product roadmaps for Physical AI services.
• Own reporting and planning cadences to AWS executives on GTM plan execution.
• Demonstrate thought leadership and credibly represent AWS at industry events, conferences, and symposiums.
• Leverage AI tools and generative AI capabilities to accelerate research, analysis, content creation, and customer engagement workflows.
• Build the Go‑To‑Market plan: define customer segments, verticals (manufacturing, logistics, energy, automotive), and set and execute a business development plan aligned with AWS strategic direction.
• Unlock Lighthouse Customers and Partners: build a high‑quality pipeline of customers working in autonomous systems, robotics, simulation, and industrial AI, and develop lighthouse examples of success.
• Incubate and influence new solutions: understand technical requirements and work with internal development teams to guide Physical AI product offerings, including simulation environments, edge inference, and robot fleet management.
• Strategic business development: focus on complex deals, transformative solutions, and long‑term strategic partnerships supporting industrial transformation and autonomous systems at scale.
• Leverage AI tools to accelerate all aspects of the role, from market analysis and customer research to content creation and deal strategy development.

• 6+ years of Go‑To‑Market, Business Development, Sales, or Consulting experience.
• Experience leading complex, multi‑year initiatives that may be cross‑functional and/or span business and technology.
• Bachelor's degree or equivalent.
• 5+ years working with cloud and enterprise technologies—spanning core cloud services (compute, security, networking), data & AI (ML, GenAI, analytics), advanced compute, and application modernization.
• 5+ years solving technology problems in complex industries.

• Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate.
• Experience interpreting data and making business recommendations across leadership and cross‑functional teams.
• Experience using analytical tools for workforce metrics and reporting.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.