Sr. Worldwide Specialist - Amazon Bedrock AgentCore, Data & AI GTM
Amazon Web Services (AWS) · Herndon, VA · 2 days ago
Business DevelopmentFull-time
About the role
Join the Generative AI specialist team as a Business Development Specialist within the Worldwide Data and AI GTM team. You will lead GTM strategy for Amazon Bedrock AgentCore service, working with partners to develop GTM and co-sell motions, and providing critical feedback from customers to inform product roadmaps.
Responsibilities
- Lead Amazon Bedrock AgentCore GTM to orchestrate sales motions for sales, marketing, partner, product, training, and professional services teams.
- Leverage your deep domain expertise to create best in class field enablement and sales strategy.
- Support field teams in solution building for high priority customers.
- Bring market signals back to product teams to drive innovation on AWS product roadmaps.
- Own reporting and planning cadences to AWS executives on GTM plan execution.
- Demonstrate thought leadership and be able to credibly represent AWS at industry events, conferences, symposiums, etc.
Requirements
- 6+ years of Go-To-Market, Business Development, Sales, or Consulting experience.
- Experience developing strategies that influence leadership decisions at the organizational level.
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience.
- 3+ years of technology sales selling enterprise software, networking, infrastructure, managed hosting services, or cloud computing services experience.
- Experience communicating complex ideas to technical and non-technical audiences.
- Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership.
Preferred Qualifications
- Experience influencing internal and external stakeholders.
- Experience building sales plays and playbooks, prospecting for, advancing and closing sales pipeline to drive adoption of products/services/capabilities in ML, AI or Analytics across a large customer base with demonstrable results delivered.
- Experience advocating on customers behalf by understanding their pain points, helping customers navigate through technology options and adoption challenges, and conveying insights back to product teams.
- Experience in managing multiple initiatives and campaigns simultaneously (customer engagements, sales motions, webinars, sales asset development, etc.) working across multiple functional teams (Product, Marketing, Solution Architects, Account teams).
- Experience teaching account teams how to sell technical products and services.
- Experience managing, tracking, and communicating customer and market insights and objective business metrics and risks.
Qualifications
- Business and technology background enabling leadership and engagement with customers from various segments, from startups to multinational enterprises.
- Domain expertise in generative AI and key ML powered use cases.
- Technical depth to articulate the benefits of Amazon Bedrock AgentCore to data scientists and C-Level executives.
- Understanding of AI Agent Platform and AgenticAI market trends, ecosystem, opportunities, and passion for market development and evangelism.
- Adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, partner, and professional services) and externally with customers and model providers.
- Ability to drive the development of the GTM plan for building and scaling adoption of Amazon Bedrock, interact with customers directly to understand their business problems, and work with and model providers and our solutions architects to help them define and implement scalable GenAI solutions to solve them.
Benefits
Amazon offers comprehensive benefits including health insurance, retirement plans, paid time off, and parental leave. For more information, visit here.
Pay
The base salary range for this position is $147,900.00 - $200,100.00 USD annually.
Schedule
Full-time position.