Director, Global Partner Solutions (edge Ai Ecosystem)

Ambarella

Base: $265,000 - $300,000; bonus/equity: new-hire ...
Not specified (assumed to be hybrid based on industry trends).
12-18 years leadership in edge ai
Proven track record building multi-partner solutions
Strong understanding of edge ai architectures
Ambarella is seeking a Director of Global Partner Solutions to lead its Edge AI ecosystem, focusing on developing scalable, partner-led enterprise solutions. The role requires extensive experience in Edge AI and partner ecosystem management, with a focus on strategic architecture, ecosystem orchestration, and technical enablement

Job Summary

  • This role serves as the chief architect of Ambarella's Edge AI ecosystem, translating silicon capabilities into scalable partner-led enterprise solutions.
  • The successful candidate will lead multi-party collaborations to co-engineer complete solutions that solve specific customer pain points with rapid speed-to-market.
  • Ambarella offers a base salary range of $265,000 - $300,000 along with new-hire RSU grants and opportunities for annual RSU grants.

Matching Summary

Match Score: 85

Ambarella is seeking a Director of Global Partner Solutions to lead its Edge AI ecosystem, focusing on developing scalable, partner-led enterprise solutions. The role requires extensive experience in Edge AI and partner ecosystem management, with a focus on strategic architecture, ecosystem orchestration, and technical enablement.

Salary

Base: $265,000 - $300,000; Bonus/Equity: New-hire RSU grants and annual RSU grants available; Benefits: Highly competitive benefits package

Skills & Requirements

Must-have

  • 12-18 years leadership in Edge AI
  • Proven track record building multi-partner solutions
  • Strong understanding of Edge AI architectures
  • Experience with ISV and GSI ecosystem management
  • Ability to scale ecosystem-driven GTM models

Nice-to-have

  • Commercial acumen for cross-functional leadership
  • Influence over external stakeholders
  • Knowledge of NVIDIA Qualcomm x86 competitive landscape
  • Experience with GenAI and VLM deployments

Key Requirements

  • 12-18+ years of leadership experience
  • Proven track record of building complex multi-partner solutions
  • Strong technical depth in Edge AI and semiconductor landscape

Work Rights

Not specified

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