US- AWS Partner Growth Lead

Posted Yesterday
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California City, CA, USA
In-Office
Expert/Leader
Artificial Intelligence • Software • Consulting • Generative AI
The Role
Quota-carrying partner leader owning AWS revenue relationships: build AWS field relationships, drive co-sell motions, create joint AI solutions, run demand-generation programs, enable sales teams, and manage partner operations and joint account planning.
Summary Generated by Built In
About AuxoAI

AuxoAI partners with enterprises to design and deploy Agentic AI systems that drive measurable outcomes—from data transformation to deployed functional products. AuxoAI transforms strategy into running systems in weeks, delivered by forward-deployed experts, and AuxoAI’s IP agent orchestration. Visit us at auxoai.com to know more. 

Location
US Based - West Coast Preferred
Experience

10+ Years

Role Summary
Own the end-to-end revenue relationship with AWS — from creating demand inside the partner's field and co-sell motions, to building joint offerings and industry solutions that drive closed revenue. This is a quota-carrying, senior individual contributor role for someone who has either sold into AWS or worked within it and deeply understands how partner ecosystems generate revenue.
Key Responsibilities
  • Own a revenue quota tied to AWS co-sell and partner-generated opportunities.
  • Build strategic relationships with AWS Alliance Managers, PDMs, and AWS field sales teams.
  • Design and execute demand generation programs including executive briefings, workshops, marketplace campaigns, AWS Summits, QBRs, and field events.
  • Lead development of joint AI solutions and industry-specific offerings with AWS.
  • Manage AWS ACE registrations, opportunity synchronization, and joint account planning.
  • Serve as the internal AWS advocate, sharing market intelligence and ecosystem insights.
  • Create scalable partner programs, sales playbooks, enablement materials, and case studies.
  • Collaborate with product, engineering, sales, and GTM teams to launch joint solutions.



Requirements
  • Bachelor’s degree in Business, Technology, Engineering, or a related field.
  • 8+ years of experience in enterprise technology sales, alliances, partnerships, or business development.
  • Prior experience working within AWS, selling into AWS, or managing AWS partnerships for an SI, ISV, or consulting organization.
  • Strong understanding of AWS co-sell programs, ACE, PDM engagement, and AWS sales motions.
  • Proven experience owning revenue targets, pipeline generation, and partner-led growth.
  • Experience developing joint solutions with product and engineering teams.
  • Strong demand generation and ecosystem marketing experience.
  • Excellent communication, stakeholder management, and relationship-building skills.
  • Ability to travel approximately 45% for partner events and customer engagements.


Benefits
• Competitive US-market base salary.
• Revenue-based commission on closed partner deals.
• US-based role with West Coast preference.


Skills Required

  • Bachelor's degree in Business, Technology, Engineering, or related field.
  • 8+ years of experience in enterprise technology sales, alliances, partnerships, or business development.
  • Prior experience working within AWS, selling into AWS, or managing AWS partnerships for an SI, ISV, or consulting organization.
  • Strong understanding of AWS co-sell programs, ACE, PDM engagement, and AWS sales motions.
  • Proven experience owning revenue targets, pipeline generation, and partner-led growth.
  • Experience developing joint solutions with product and engineering teams.
  • Strong demand generation and ecosystem marketing experience.
  • Excellent communication, stakeholder management, and relationship-building skills.
  • Ability to travel approximately 45% for partner events and customer engagements.
  • Experience in a quota-carrying, senior individual contributor sales or partner role.
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The Company
HQ: San Francisco, CA
Year Founded: 2022

What We Do

AuxoAI partners with enterprise leaders to build AI systems, enabling the creation of AI-first enterprises by moving from AI strategy to production-grade deployed systems in weeks.

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