Jobs · Advertising · Texas

Director – Automotive & Manufacturing Industry Specialists & Solutions , AWS Industries

Amazon Web Services (AWS) · Dallas, TX · 1 mo ago
Advertising$100/hrFull-time

About the role

AWS is uniquely positioned to help automotive and manufacturing customers navigate the convergence of AI, electrification, and software-defined everything. This global leadership role leads the Industry Specialists & Solutions (ISS) team for the Automotive & Manufacturing (A&M) Industry Business Unit, driving industry solutions architecture, business development, and GTM strategy across North America, Brazil, Europe, Korea, Japan, and India. The role coordinates with other Amazon business units including Alexa+, Project Leo, Amazon Ads, Amazon Supply Chain Services, and Amazon Business to bring the full breadth of Amazon's capabilities to customers.

Key job responsibilities

  • Define and execute a comprehensive strategic Go-To-Market (GTM) plan for the global Automotive & Manufacturing sector, including industry solution prioritization, repeatable pipeline generation, market segmentation, and competitive positioning
  • Identify, develop, and realize business opportunities to generate customer value and AWS AI/cloud revenue, building a business development pipeline in line with the AWS Automotive & Manufacturing industry strategic direction and multi-year revenue targets
  • Structure and execute Strategic Framework Agreements (SFAs) encompassing Private Pricing Agreements (PPAs) and Cloud & AI deployments at scale with industry leading companies
  • Lead, develop, and grow a global team of specialized senior solutions architect and business development professionals, articulating how AWS can solve challenging industry problems with Agentic AI and cloud, driving accountability, coaching on multi-divisional deal structuring, CxO engagement, providing visible industry thought leadership, and fostering a culture of ownership, high performance, and continuous development
  • Serve as the primary strategic advisor to industry executives at the CEO, CFO, CIO, CTO, and VP+ level, building trusted bilateral relationships that span both commercial infrastructure partnerships and enterprise cloud and AI adoption programs
  • Define and size market segments; identify, qualify, and engage key customers and strategic industry partners and develop scalable partner engagement and GTM motions
  • Drive cross-functional partnership with AWS Product, Engineering, and Service teams to influence roadmap priorities based on customer signals and industry trends
  • Pioneer industry solutions and go-to-market motions; identify whitespace opportunities where AWS can lead the automotive and manufacturing ecosystem through innovation
  • Collaborate with Sales on qualified opportunities with a clear understanding of the customer's business drivers, stakeholders and urgency
  • Establish scalable mechanisms, engagement playbooks, and industry solution frameworks that enable AWS field teams globally to engage confidently and consistently in automotive and manufacturing cloud opportunities
  • Partner with Marketing to drive global campaigns, such as IAA, IMTS, CES, and Hannover Messe, highlighting customer success stories and strategic messaging

Basic qualifications

  • Advanced degree in Business, Computer Science, Engineering, or a related field, or 15+ years of equivalent professional experience in business development, strategic partnerships, engineering, or commercial leadership
  • 15+ years leading global teams in business development, strategic partnerships, or commercial leadership roles in the Automotive & Manufacturing sector
  • 5+ years of working knowledge of cloud computing, AI/ML, or emerging technology paradigms and their application to automotive and manufacturing industry challenges
  • Experience applying AI/ML and agentic AI services to automotive or manufacturing use cases
  • Experience structuring and executing large-scale commercial agreements ($100M+) with enterprise automotive or manufacturing customers, including complex multi-party deal structures and long-term strategic frameworks

Preferred qualifications

  • Drive cross-functional partnership with AWS Product, Engineering, and Service teams to influence roadmap priorities based on customer signals and industry trends
  • Pioneer new-to-AWS industry solutions and go-to-market motions; identify whitespace opportunities where AWS can lead the automotive and manufacturing ecosystem through invention
  • Deep expertise in cloud computing and AI solutions as applied to complex automotive and manufacturing processes
  • Track record of developing senior talent and building inclusive, high-performing teams across diverse geographies and cultures
  • Modern cloud architecture experience
  • Experience influencing C-suite decisions across culturally diverse, global organizations with the ability to translate complex technical concepts into business value
  • Product development and research & development of vehicle or manufacturing industry technologies
  • Familiar with AWS technologies key to software-defined vehicle (SDV) and autonomous mobility, connected mobility, smart manufacturing, supply chain, etc.

Pay

  • USA, MA, Boston: $224,400.00 - $303,500.00 USD annually
  • USA, MI, Detroit: $224,400.00 - $303,500.00 USD annually
  • USA, MN, Minneapolis: $224,400.00 - $303,500.00 USD annually
  • USA, NY, New York: $246,800.00 - $333,900.00 USD annually
  • USA, TX, Dallas: $224,400.00 - $303,500.00 USD annually
  • USA, WA, Seattle: $224,400.00 - $303,500.00 USD annually

Benefits

Amazon 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. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location.

This response is AI-generated, for reference only.

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