Director, Product Management - AI

Alteryx•Irvine, CA

4d•Remote

About The Position

Alteryx is the agentic analytics and automation company that powers actionable insights for more than 8,000 customers worldwide. This role focuses on the intersection of Alteryx workflows and large language models (LLMs) to demonstrate the ROI of combining them. The goal is to build and articulate the value proposition that governed Alteryx workflows make AI faster, better, and cheaper than raw LLM usage, and to ship product capabilities that deliver this promise. The core problem addressed is that LLMs operating on raw data guess at business rules and burn tokens, whereas LLMs paired with Alteryx workflows provide faster, better (Visible, Understandable, Repeatable, Auditable - VURA), and cheaper results by eliminating the 're-work tax' and re-burning of tokens.

Requirements

10+ years in product management, with significant experience leading AI, ML, or data-platform products at a B2B SaaS or enterprise software company.
Track record of building and defending an ROI or TCO narrative, comfortable with both financial analysis and public presentation.
Working knowledge of how LLMs, agents, and retrieval/grounding function in production, including their cost, hallucination tendencies, and how governed data/logic can improve them.
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 skills to align engineering, data science, sales, and analyst relations.
Excellent written and verbal communication skills for articulating the ROI story.
Bachelor's degree in a related field required.

Nice To Haves

MBA or technical graduate degree

Responsibilities

Build products that extend governed workflows, datasets, and business logic into AI agents and LLMs, integrating with surfaces like Agent Studio, Alteryx MCP Server, Ask Alteryx, and third-party tools like ChatGPT, Claude, Gemini, Slack, and Microsoft Teams.
Define and prioritize the roadmap for grounding LLMs in governed, trusted business logic to ensure AI-driven actions are accurate and compliant.
Partner with Engineering, Data Science, and CPO to benchmark, measure, and improve the cost and speed advantages of Alteryx over standalone LLM usage.
Work directly with enterprise customers and analysts to quantify AI ROI in their environments.
Represent the AI product vision externally through analyst briefings, customer advisory boards, and public launches.
Champion the VURA framework (Visible, Understandable, Repeatable, Auditable) as the standard for trustworthy AI at Alteryx and ensure its implementation in product features.