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Product Marketing Manager, Agent

Job in Lakewood, Jefferson County, Colorado, USA
Listing for: Alteryx, Inc.
Full Time position
Listed on 2026-06-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Product Marketing Manager, Agent & Application Experiences

Meet the Moment with Alteryx We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation. You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.

If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here. The age of AI agents is here—and Alteryx is building the platform that puts governed, intelligent automation within reach of every enterprise. From Agent Studio and MCP Server to App Builder and Auto Insights, our Agent & Application Experiences portfolio enables organizations to bring AI-ready data and workflows to the agents and applications transforming how business gets done.

What

You’ll DoAgent Studio & MCP Server
  • Own the end-to-end product marketing strategy for Agent Studio and Alteryx’s MCP Server, defining positioning, messaging, and go-to-market plays that articulate how Alteryx serves as the business logic backbone for agentic AI systems.
  • Develop persona-specific narratives for data engineers, IT architects, and AI/ML teams that demonstrate how Agent Studio and MCP Server enable governed, scalable automation at the enterprise level.
  • Partner with Product Management to shape the agentic AI roadmap narrative, translating headless AYX capabilities and workflow orchestration features into compelling customer-facing stories.
  • Build launch plans, sales enablement materials, and technical content for new Agent Studio and MCP Server capabilities, equipping GTM teams to drive trial and adoption.
  • Monitor the competitive landscape across agentic frameworks, process automation platforms, and enterprise AI tooling—surfacing insights that sharpen positioning and battle card strategies.
  • Represent Alteryx in conversations with agentic AI ecosystem partners, positioning our platform as a trusted integration layer within broader AI orchestration architectures.
App Builder
  • Own the go-to-market strategy for App Builder, positioning it as the fastest, most governed path for analysts and workflow builders to deploy Alteryx solutions as shareable, scalable business applications.
  • Develop messaging that speaks to both builders (analysts, data engineers) and application consumers (line-of-business leaders, IT stakeholders) who depend on App Builder’s no-code/low-code application layer.
  • Create launch and enablement materials for App Builder updates, ensuring Sales, Partner, and Customer Success teams can confidently articulate value and competitive differentiation.
  • Identify and develop customer champions who have built high-impact applications, turning their stories into case studies, event presentations, and community content.
  • Partner with Platform PMM to ensure App Builder is consistently woven into the broader Alteryx One narrative and agent-ready application story.
Auto Insights & AI Skills
  • Define and maintain the positioning and messaging framework for Auto Insights, articulating its differentiated value in delivering automated, actionable intelligence without requiring data science expertise.
  • Develop use-case-driven content—including demos, customer stories, blog posts, and sales decks—that illustrates Auto Insights’ business impact across key industries and buyer personas.
  • Partner with Demand Generation to build pipeline campaigns highlighting Auto Insights’ capabilities in automated analysis, anomaly detection, and natural language storytelling.
  • Build early positioning and messaging for AI Skills as the portfolio evolves, partnering closely with Product to define the narrative ahead of general availability.
  • Work with Customer Success and Product to identify highest-value adoption moments and build programs that accelerate feature discovery and stickiness across the portfolio.
Agent & Application Portfolio Strategy
  • Develop and maintain a cohesive Agent & Application Experiences portfolio narrative that connects Agent Studio, MCP Server, App Builder, Auto Insights, and AI…
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