Partner Development Manager, Agentic AI, Worldwide Public Sector Partners

About the role

The Partner Development Manager is responsible for accelerating the adoption of AWS AI and Agentic AI tools across the Worldwide Public Sector National Systems Integrator (NSI) partner ecosystem. This role is part of the AWS Worldwide Public Sector (WWPS) Partner Organization.

Responsibilities

• Drive pipeline and revenue through joint go-to-market motions with NSI partners to bring agentic AI solutions to WWPS end-customers, creating new demand and accelerating adoption of AWS AI services.
• Accelerate partner AI adoption by developing strategies that drive NSI partners to embed AWS Agentic AI tools into their customer delivery engagements, solution offerings, and operational tooling.
• Define solution-oriented joint offerings with NSI partners that package AWS Agentic AI capabilities into repeatable, scalable solutions for public sector end customers across all WWPS verticals.
• Enable AI-driven development practices across partner delivery organizations—championing modern AI development lifecycle approaches that reimagine traditional software engineering processes through AI-powered inception, construction, and operations workflows.
• Engage partners to articulate the process transformation benefits and financial ROI of adopting AI tools for delivery execution, demonstrating how agentic AI accelerates engagement timelines, reduces cost-to-deliver, and improves solution quality.
• Develop business cases and financial models that quantify the return on investment of AI tool adoption for partner and customer organizations, enabling data-driven decisions on AI transformation investments.
• Serve as an internal AI subject matter expert aligned to the WWPS partner organization, advocating for partner AI capabilities and connecting partner needs to AWS product and field teams.
• Scale proven adoption motions by identifying successful partner AI adoption patterns and replicating them across the broader NSI partner ecosystem.
• Engage multi-level stakeholders across partner and customer organizations—from technical delivery leads and development teams to C-suite executives and finance leadership—articulating technical capabilities, solution value, and financial impact of agentic AI adoption.
• Collaborate cross-functionally with solution architecture, product management, partner management, field sales, and account teams to create joint revenue opportunities and remove blockers to customer AI adoption through partners.
• Identify and develop new market opportunities for agentic AI solutions across WWPS verticals, working with partners to translate customer needs into joint offerings that drive adoption and revenue growth.

Qualifications

• 6+ years of Go-To-Market, Business Development, Sales, or Consulting experience
• 2+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
• 3+ years of developing, negotiating and executing business agreements experience
• Experience developing strategies that influence leadership decisions at the organizational level
• Experience explaining complex technical concepts to various business and technical audiences
• Bachelor's degree
• Experience building and analyzing cost/benefit scenarios and business cases and communicating results throughout the organization
• Familiarity with AI-driven development lifecycle methodologies and agentic AI frameworks

Preferred Qualifications

• 2+ years of software development experience
• Experience selling to or working with public sector organizations (federal, defense, state/local, education, nonprofit, healthcare)
• 2+ years of technology consulting experience (delivery, solution architecture, or advisory)
• Experience working with National Systems Integrators or large consulting partners
• Experience defining and launching new partner solutions, offerings, or go-to-market programs
• Experience with AWS AI/ML services (Amazon Bedrock, Amazon Kiro, Amazon SageMaker) or equivalent cloud AI platforms