Partner Development Specialist, Genai Ml, Amazon Partner Organisation

Year    MH, IN, India

Job Description

DESCRIPTION


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We are seeking a strategic Partner Development Specialist (PDS) to lead and scale AWS's AI/ML and Generative AI partner ecosystem across key markets. This role demands a seasoned professional who can architect partner strategies, drive multi-million dollar revenue opportunities, and establish AWS as the definitive cloud platform for AI/ML workloads through strategic partnership development.



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


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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


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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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Job Detail

  • Job Id
    JD4679264
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    MH, IN, India
  • Education
    Not mentioned
  • Experience
    Year