Responsibilities

• Own the AV-ADAS 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

Requirements

• 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

• 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

Benefits

• Inclusive Team Culture: AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• 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.