Partner Development Specialist, GenAI ML, Partner Organisation
5 hours ago
The ideal candidate will combine deep technical expertise in AI/ML with proven executive-level relationship management skills, capable of influencing C-suite decisions and orchestrating complex, multi-stakeholder initiatives that deliver measurable business impact.
Key job responsibilities
Strategic Responsibilities
Partner Ecosystem Leadership
• Architect and execute comprehensive GenAI partner strategies spanning systems integrators, ISVs, and consulting partners to accelerate AWS AI/ML service adoption across enterprise segments
• Drive strategic partnership expansion by identifying, evaluating, and onboarding Tier-1 partners with significant AI/ML capabilities and market reach
• Establish and lead Center of Excellence initiatives with key partners, creating reusable accelerators, reference architectures, and go-to-market frameworks that scale across multiple customer engagements
• Orchestrate complex, multi-partner solutions for large enterprise customers requiring integrated AI/ML capabilities across multiple domains
Revenue and Growth Impact
• Own and deliver ambitious revenue targets through partner-influenced opportunities, with accountability for $50M+ in annual partner-driven revenue
• Develop and execute high-impact joint go-to-market strategies including co-developed solutions, joint marketing campaigns, and coordinated sales motions that drive measurable pipeline growth
• Lead strategic account planning with top-tier partners to identify and capture multi-million dollar opportunities in key industry verticals
• Drive partner investment decisions by building compelling business cases that justify AWS funding for partner enablement, marketing, and technical development
Technical and Market Leadership
• Provide technical thought leadership on AI/ML architecture patterns, serving as the definitive AWS expert for complex customer scenarios involving machine learning, deep learning, and generative AI implementations
• Lead customer-facing technical discussions at the CTO/CDAO level, articulating AWS AI/ML value propositions and competitive differentiators in complex enterprise environments
• Drive innovation through partner collaboration by identifying emerging market needs and working with AWS product teams to influence roadmap priorities
• Establish technical governance frameworks ensuring partner solutions adhere to AWS best practices, security standards, and performance optimization guidelines
Executive-Level Responsibilities
Stakeholder Management and Influence
• Manage executive relationships with partner C-suite leadership, establishing strategic alignment and securing long-term commitment to AWS-focused initiatives
• Present strategic recommendations to AWS VP and SVP-level executives, providing data-driven insights on partner ecosystem performance and market opportunities
• Lead cross-functional initiatives spanning multiple AWS organizations including Product, Marketing, Sales, and Solutions Architecture to ensure coordinated partner support
• Represent AWS at industry-leading conferences as a keynote speaker and thought leader, establishing AWS market position in AI/ML domains
Team and Capability Development
• Mentor and develop junior partner managers providing technical guidance and strategic coaching to accelerate team capability development
• Design and implement partner enablement programs including technical certification paths, sales training curricula, and marketing support frameworks
• Establish partner success metrics and governance creating accountability frameworks that ensure partners meet technical and business commitments
About the team
this role will be a part of the Amazon Partner Organisation which is the corner stone of our AWS strategy of "partners everywhere" where we lead with partners for better customer outcomes and develop a robust partner community of anticipating and serving our customer needs of tomorrow
Basic Qualifications:
- 8+ years of work in partner management within e-commerce or technology sectors experience
- Proven track record of driving $25M+ in annual revenue through partner channels and strategic alliances
- Executive relationship management experience with demonstrated ability to influence C-suite decision-making
- Technical Expertise
- Advanced proficiency in AWS AI/ML services including SageMaker, Bedrock, Comprehend, Textract, and related data analytics services
- Deep understanding of enterprise AI/ML architecture patterns, including MLOps, data lake architectures, and real-time inference systems
- Strong grasp of generative AI technologies, large language models, and enterprise AI governance frameworks
- Business and Leadership Skills
- Bachelor degree with strong business strategy and financial analysis capabilities
- Exceptional communication skills with ability to present complex technical concepts to both technical and business audiences
- Proven ability to manage multiple strategic initiatives simultaneously while maintaining high attention to detail
- Experience managing P&L responsibility or significant budget accountability in technology partnerships
Preferred Qualifications:
- Industry expertise in financial services, healthcare, manufacturing, or retail verticals
- Previous experience at major cloud providers (AWS, Azure, GCP) or leading systems integrators
- Technical certifications in AWS ML/AI services and solutions architecture
- Published thought leadership in AI/ML domains through blogs, whitepapers, or conference presentations
- MBA
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