Qualcomm
Director, Business Development - Frontier AI Partnerships
$232K–$348K
Santa Clara, California · On-site · Director · Full-time · Posted Oct 21, 2026
- Experience
- Bachelor's degree: 8+ years; associate's degree: 10+ years; high school diploma or equivalent: 12+ years. Preferred: 12+ years in specified technology-industry roles.
- Education
- Bachelor's degree; or associate's degree; or high school diploma or equivalent. Preferred: bachelor's degree in business, engineering, computer science, or related field (equivalent experience considered); MBA or advanced technical degree.
- Visa sponsorship
- U.S.-based position; not eligible for visa sponsorship.
About the job
Develops and advances strategic partnerships with frontier AI companies, translating their product and model roadmaps into Qualcomm opportunities across mobile devices, platforms, software, and joint go-to-market efforts.
What you'll do
- Support strategic account plans, executive engagement, and partnership opportunity pipelines.
- Coordinate cross-business-unit technical and commercial initiatives, including mobile-first and on-device AI opportunities.
- Develop partnership business cases and deal structures, and drive disciplined execution and progress tracking.
What they ask for
- Bachelor's degree and 8+ years of relevant work experience; or associate's degree and 10+ years; or high school diploma or equivalent and 12+ years.
- Experience managing complex strategic accounts or partnerships with senior executive stakeholders.
- Ability to drive cross-functional initiatives and develop business cases, partnership proposals, or deal structures.
Nice to have
- 12+ years in technology business development, strategic partnerships, product strategy, corporate development, sales, or ecosystem development.
- Experience with AI model providers, mobile OEMs, cloud platforms, or developer ecosystems; familiarity with Snapdragon platforms and AI optimization.
Pay
USD $232,000.00 - $348,000.00 base salary
Tools
Snapdragon, mobile SoCs, NPUs, AI software stacks, large language models
AI focus
Build partnerships to bring frontier AI models and experiences to mobile and other edge devices, with emphasis on on-device and hybrid AI, privacy-preserving inference, model optimization, and cloud-to-edge inference.
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