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 your deep 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.
A day in the life
In this role you are empowered with autonomy to:
Build the Go-To-Market plan. Define customer segments, verticals (manufacturing, logistics, energy, automotive), and strategic partnerships. 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. 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 your role, from market analysis and customer research to content creation and deal strategy development.
About the team
The WWSO Physical AI team positions AWS as the best place to build, train, and deploy intelligent systems that perceive, reason about, and act in the physical world. Our team helps customers deploy autonomous systems, robotics, simulation, digital twins, and industrial AI workloads on AWS while providing a secure, reliable, and scalable infrastructure for innovation. As a Business Development Specialist on the Physical AI team, you will create scaled GTM motions for AWS solutions across autonomous machines, industrial automation, simulation and synthetic data, and edge AI to expand adoption of these capabilities into new or existing customer portfolios.
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually
USA, TX, Austin - 147,900.00 - 200,100.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually
