Amazon Worldwide GTM Specialist - Physical AI

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Job Details

Posted date: Jun 07, 2026

Location: Austin, TX

Estimated salary: $184,050
Range: $147,900 - $220,200


Description

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Physical AI background (AI for Automation, Digital Twin, Robotics, and Edge), and go-to-market skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Physical AI team as a Business Development Specialist!

The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

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.

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.



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



Extended 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

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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



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