Director, Product Management - AI

Alteryx is an agentic analytics and automation company that helps organizations generate actionable insights through data, automation, and AI. The Director of Product Management, AI will lead products and roadmap initiatives that connect governed workflows and business logic with LLMs and AI agents, while proving and improving their speed, quality, cost, and ROI advantages. The role also involves customer engagement, external representation, and cross-functional leadership across engineering, data science, sales, and analyst relations.

Responsibilities:

• Build the products that make “build once, govern once” real — extending governed workflows, datasets, and business logic into the AI agents and LLMs teams already use, including surfaces like Agent Studio, the Alteryx MCP Server, Ask Alteryx, and emerging integrations with ChatGPT, Claude, Gemini, Slack, and Microsoft Teams
• Define and prioritize the roadmap for grounding LLMs in governed, trusted business logic so every AI-driven action is as accurate and compliant as a human-executed workflow
• Partner with Engineering, Data Science, and the CPO organization to benchmark, measure, and continuously improve the cost and speed advantage Alteryx delivers over standalone LLM usage
• Work directly with enterprise customers and analysts to quantify AI ROI in their environments
• Represent the AI product vision externally: analyst briefings (Gartner, IDC, Forrester), customer advisory boards, and public launches
• Champion the VURA framework (Visible, Understandable, Repeatable, Auditable) as the standard for what “trustworthy AI” means at Alteryx, and make sure it shows up in every feature you ship

Requirements:

• 10+ years in product management, with meaningful time spent leading AI, ML, or data-platform products at a B2B SaaS or enterprise software company
• A track record of building and defending an ROI or TCO narrative — you're as comfortable in a spreadsheet proving cost-per-token savings as you are on stage presenting them
• Working knowledge of how LLMs, agents, and retrieval/grounding actually behave in production, including where they're expensive, where they hallucinate, and how governed data and business logic fix both
• Experience shipping products that integrate with or extend into third-party AI ecosystems (MCP, ChatGPT plugins, Copilot, Claude, Gemini, or similar)
• Strong cross-functional leadership: you can align engineering, data science, sales, and analyst relations around a single, numbers-backed story
• Excellent written and verbal communication — this role is as much about telling the ROI story as building it
• Bachelor's degree in a related field required
• MBA or technical graduate degree a plus
• Seattle