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Amazon Web Services (AWS) is seeking a top-tier Partner Development Specialist to drive growth in our Amazon Bedrock business through strategic partnerships. As part of the Worldwide Data & AI GTM team, you will be responsible for developing and executing go-to-market strategies that accelerate the adoption of Amazon Bedrock — AWS's fully managed service for building and scaling generative AI applications using foundation models — across our customer segments via consulting (SI/GSI) and technology (ISV) partners. You will work closely with partners to build Bedrock-powered solutions that leverage model access, Guardrails, Knowledge Bases, Agents, and fine-tuning capabilities, positioning AWS as the choice for enterprise generative AI workloads. This role requires a unique blend of strategic thinking, technical depth in generative AI architectures, and business development acumen. You will help partners understand and capitalize on the Bedrock value proposition — including its broad selection of industry-leading foundation models, built-in safety and governance controls, and seamless integration with the AWS ecosystem for retrieval-augmented generation, agentic workflows, and custom model development.
Job Responsibility
Lead the development and execution of AIML go-to-market strategies for partners
Collaborate closely with Partner, Customer Success, Marketing, and Product teams to drive comprehensive partnership initiatives
Create scalable programs and deliver insightful business reviews to unblock partner challenges and drive growth
Develop operational planning documents and serve as an AIML subject matter expert supporting broader internal teams
Requirements
6+ years of developing, negotiating and executing business agreements experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules
5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
Familiarity with AWS Partner Network (APN) programs, competency frameworks, or marketplace listings
Nice to have
Experience interpreting data and making business recommendations
Familiarity with agentic AI frameworks and patterns (e.g., multi-agent orchestration, tool-use, RAG, memory/state management)
Working knowledge of AWS AI/ML services, particularly Amazon Bedrock, SageMaker, and related infrastructure
Understanding of LLM-based application architectures including agent runtimes, guardrails, and identity/access patterns
What we offer
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)