AV-ADAS Technical GTM Specialist, WWSO HPC Team

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

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 AWSs automotive compute portfolio spanning Autonomous 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 AWSs 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS

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- 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
- Masters degree in Computer Science Electrical Engineering Automotive Engineering or a related field (or equivalent experience)

- 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 Companys 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 youre applying in isnt 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 CA San Francisco - 162700.00 - 220200.00 USD annually
USA MA Boston - 147900.00 - 200100.00 USD annually
USA MI Detroit - 147900.00 - 200100.00 USD annually
USA NY New York - 162700.00 - 220200.00 USD annually
USA TX Austin - 147900.00 - 200100.00 USD annually
USA VA Arlington - 147900.00 - 200100.00 USD annually
USA WA Seattle - 147900.00 - 200100.00 USD annually


Required Experience:

IC

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-...
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