Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, TX, Austin - 148,700.00 - 201,200.00 USD annually
Additional Information
Come be a part of a rapidly expanding global business. At Amazon Business, we're building the future of B2B commerce by leveraging generative and agentic AI to transform how sales and account management teams work. We stand at the intersection of enterprise technology and AI innovation, developing solutions that empower sales professionals to focus on what matters most: strategic customer relationships and high-value interactions.
Amazon Business Go-To-Market Operations (GTMO) organization is building the next generation of AI-powered sales technology. As a Technical Program Manager for Salesforce Agentic AI, you will own delivery of GenAI and agentic automation programs that directly impact how 1000+ sales professionals work - saving hundreds of thousands of hours annually and enabling hundreds of millions in GMS through intelligent agentic automation.
This is a deeply technical, high-ownership role at the intersection of Salesforce platform engineering, agentic AI, and enterprise-scale program delivery. You will drive programs spanning Conversation Intelligence, AgentForce automation, platform integrations, and global expansion - coordinating across SalesTech, Science/Data Engineering, Product Management, and Business Stakeholders.
Key job responsibilities
- Own end-to-end delivery of Salesforce Agentic AI programs - including Conversation Intelligence, GenAI-powered opportunity management, prospecting automation, and Agentic integrations - from design through post-launch
- Drive cross-functional alignment across Engineering, Science, data and external vendors to deliver AI-powered features.
- Translate business requirements into detailed technical execution plans, managing dependencies, risks, and trade-offs across 10+ concurrent workstreams
- Evaluate integration architectures for Agentforce, AWS AgentCore, MCP-based platforms, and enterprise AI tooling; identify and resolve technical blockers before they impact delivery
- Partner with Product and Engineering to define sprint priorities, manage staggered delivery timelines, and maintain transparent status reporting for senior stakeholders
- Lead post-launch operations including retrospectives, operational runbooks, and 30-60 day metric monitoring to validate outcomes such as time savings, GMS impact, and adoption targets