About the job
Are you excited about the rapid evolution of agentic AI and the opportunity to shape how partners build and deliver AI solutions on AWS? The WW Data & AI Strategic Partner GTM team is looking for a Worldwide Partner Specialist to drive go-to-market execution for our agentic AI partner ecosystem — supporting innovative partners from startups to LLM providers to global technology companies.
Responsibilities
• Support the execution of worldwide agentic AI partner GTM strategy, contributing to partner prioritization, activation planning, and co-sell program design
• Drive day-to-day partner GTM execution including co-marketing campaigns, joint solution positioning, partner enablement, and co-sell activation motions
• Develop and maintain partner-facing enablement content (solution briefs, technical positioning, battle cards, reference architectures) for agentic AI use cases
• Support joint GTM plays with agentic AI partners, coordinating across PDMs, Solutions Architects, and field teams to drive pipeline and revenue
• Track and report on partner GTM metrics including partner-sourced pipeline, co-sell revenue, partner certifications, and activation milestones
• Collaborate with AWS Service GTM teams to align partner messaging with agentic AI service launches, feature releases, and roadmap priorities
• Support partner readiness and competency programs that accelerate delivery capacity on AWS agentic AI services
• Coordinate cross-functionally with regional field teams to support partner-led customer engagements and identify co-sell opportunities
• Contribute to executive-level reporting on agentic AI partner GTM progress, pipeline health, and program impact
Qualifications
Minimum
• 3+ years of business development, partnership management, or sourcing new business experience
• 3+ years of Go-To-Market, Business Development, Sales, or Consulting experience
• Experience using data and metrics to determine and drive improvements
Preferred
• 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience