Description
The automotive industry is undergoing a structural shift toward Software-Defined Vehicles (SDV). Automotive OEMs are taking direct ownership of their software stacks through internal software factories. This creates new buyer personas, new technical requirements, and significant opportunity for cloud-native development on AWS.
AWS is seeking a technically deep, business-minded Automotive Compute Tech GTM Specialist to join the Worldwide Specialist Organization (WWSO) HPC team. You will own the end-to-end GTM strategy for AWS's automotive compute portfolio spanningAutonomous Vehicles (AV), Advanced Driver Assistance Systems (ADAS), Software d-Defined Vehicle (SDV), and Electrical/Electronic (E/E) architecture workloads.
In this tech BD role, You will drive acceleration of the revenue pipeline, convert pipeline into launch revenue, and build the mechanisms that turn technical engagement into measurable business outcomes. You own the strategy, the technical discussion and execution. You will work directly with customers: C-level and VP-level stakeholders at leading OEMs and Tier-1 suppliers, and build partner enablement strategies that scale customer adoption. You will collaborate closely with the Automotive Industry Business Unit (IBU) and serve as a visible AWS specialist with technical depth with industry-level go-to-market strategy to maximize customer impact.
Key job responsibilities
Own the AV-ADAS HPC GTM strategy end-to-end, with full accountability for pipeline, launch revenue, and business outcomes
Drive GTM motions for AV, ADAS, SDV, and E/E workloads across AWS's global automotive customer base in partnership with the Automotive IBU
Identify, qualify, and advance opportunities from technical engagement through to closed revenue; build mechanisms that compress sales cycles and increase win rates
Build and execute a partner enablement strategy that scales customer adoption through technology and consulting partners
Develop GTM plays tailored to OEM Software Factories, domain controller architectures, and repositioned Tier-1 suppliers. Evangelize cloud-native development environments and engineering workbenches for ADAS/AV/SDV workflows
Articulate the value of Generative AI in accelerating automotive software development
Collaborate cross-functionally with the Automotive IBU, AWS service teams, Solutions Architects, partner teams, and product teams
Build scalable technical content, reference architectures, workshops, and enablement materials to accelerate adoption
About the team
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS). We work backwards from our customers' 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 BD specialist and technical solutions architects, providing expertise to customers.
Within WWSO, the HPC team is part of the Compute & Advanced Computing Specialist team that focuses on architectures and solutions to orchestrate and scale the most demanding compute-constrained customer workloads and use cases, with particular emphasis on AV-ADAS.
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.
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Work/Life Balance
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Basic Qualifications
Experience engaging and influencing senior executives, demonstrating a strong familiarity with decision-making processes in enterprise customers
7+ years of experience in automotive software, with deep knowledge of ADAS, AV, SDV, or E/E architecture development. Strong understanding of in-vehicle software development lifecycles including toolchains, HPC simulation, validation, and deployment
Proven track record driving revenue pipeline from technical engagement through to closed business. Experience developing and executing GTM strategies for technical products or cloud services
Excellent written and verbal communication skills; able to translate technical concepts for both business and technical audiences
Master's degree in Computer Science, Electrical Engineering, Automotive Engineering, or a related field (or equivalent experience)
Preferred Qualifications
Advanced degree in Engineering, Computer Science, Machine Learning, Statistics, Physics, or related fields
Prior experience in an AV-ADAS or industry vertical team at a hyperscaler or large technology company. Deep understanding of distributed ML framework and HPC infrastructure and distributed system.
Hands-on experience with cloud-based virtual engineering workbenches, simulation platforms, or digital twin environments
Familiarity with FPGA-based development, RISC-V architectures, or embedded hardware emulation in cloud environments. Knowledge of AUTOSAR (Classic and Adaptive) and automotive data pipelines including sensor data, V2X, and fleet telemetry
Deep knowledge of the automotive partner ecosystem including toolchain vendors, middleware providers, silicon partners, and system integrators
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 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 .
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually
USA, MA, Boston - 147,900.00 - 200,100.00 USD annually
USA, MI, Detroit - 147,900.00 - 200,100.00 USD annually
USA, NY, New York - 162,700.00 - 220,200.00 USD annually
USA, TX, Austin - 147,900.00 - 200,100.00 USD annually
USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually