AWS is seeking a Worldwide (WW) GTM Specialist to accelerate adoption of Amazon WorkSpaces' AI and agentic capabilities. You will be part of a dedicated team focused on bringing these emerging solutions to market - defining the vision for agentic workspaces, building GTM motions around AI-enhanced features, and helping customers understand how governed cloud workspaces become the operating environment for their human + agent workforce. You'll be charting new territory at the intersection of end-user computing and enterprise AI - identifying early adopters, shaping lighthouse engagements, and building repeatable plays that scale. You are a strategic thinker who operates with urgency. You combine deep business acumen with enough technical depth to be credible with CIOs and IT leaders navigating the shift to agentic work. You understand that the hardest problem isn't teaching an agent to click - it's making sure those clicks happen inside an environment the organization can trust. You've built GTM strategies in emerging technology categories, rallied cross-functional teams around a shared vision, and delivered measurable business results. You're energized by ambiguity - because that's where the biggest opportunities live. Key job responsibilities - Define and execute the GTM strategy for Amazon WorkSpaces AI and agentic solutions - identifying high-value customer segments where agents can drive immediate productivity gains, and building programs that accelerate early adoption of WorkSpaces for Agents, AI-enhanced desktop experiences, and governed agentic environments. - Shape the narrative around the future of agentic workspaces - positioning AWS as the leader in trusted environments where humans and AI agents work together, with built-in governance, observability, and identity management that enable enterprises to scale autonomous work confidently. - Engage directly with enterprise leaders and partners to articulate how governed cloud workspaces solve the trust, security, and compliance challenges that keep agentic AI stuck in pilots - connecting agentic workspace capabilities to measurable business outcomes. - Build and scale lighthouse engagements with early adopters deploying AI agents in enterprise environments - generating compelling proof points around agent governance, productivity, and the human + agent operating model, then operationalizing those wins into repeatable plays. - Develop deep fluency in the WorkSpaces AI portfolio (WorkSpaces for Agents, integration with AWS Context, Amazon Bedrock AgentCore, AWS Continuum) to articulate how the pieces fit together for customers across industries. - Establish data-driven mechanisms to measure adoption of agentic features, track program effectiveness, and continuously optimize the path from pilot to production-scale agent deployment. - Evangelize the agentic workspace vision externally through thought leadership, events, and industry engagement - and internally across AWS to drive mindshare and investment in this emerging category. - Orchestrate field uptake of AI-focused sales plays, equipping the broader sales organization to identify and qualify agentic workspace opportunities and deliver value through repeatable mechanisms. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS - 5+ years of professional or military experience - 5+ years of working with Core Cloud Technology Services, including, but not limited to Compute, Edge, Hybrid, Security, and/or Networking experience - 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience - 5+ years of working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations experience - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Bachelor's degree - Experience developing strategies that influence leadership decisions at the organizational level - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience selling enterprise software or cloud-based applications - Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology PREFERRED QUALIFICATIONS - Experience interpreting data and making business recommendations - Experience selling AI/ML solutions - Experience in selling nascent products/services into new markets - Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology - Understanding of enterprise desktop/workspace environments and the security, compliance, and identity requirements that govern them The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, FL, Miami - 147,900.00 - 200,100.00 USD annually USA, GA, Atlanta - 147,900.00 - 200,100.00 USD annually USA, MA, Boston - 147,900.00 - 200,100.00 USD annually USA, NC, Raleigh - 147,900.00 - 200,100.00 USD annually USA, NY, New York - 162,700.00 - 220,200.00 USD annually USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually