Director, Product Management - AI

Alteryx•Irvine, CA

1d•$216,000 - $236,000•Remote

About The Position

Alteryx is the agentic analytics and automation company that powers actionable insights for more than 8,000 customers worldwide — organizations that together run over 380 million automated workflows a year on the Alteryx platform. We're looking for a Director of Product Management, AI to own one of the most important stories in the company: proving, in hard numbers, why Alteryx plus large language models beats either one alone. This isn't a research role for AI's own sake. It's a product leadership role focused on ROI — building and articulating the value proposition that governed Alteryx workflows make AI faster, better, and cheaper than raw LLM usage, and then shipping the product capabilities that make that promise true for every customer. Every enterprise is asking the same question about generative AI: is it actually paying off? Alteryx has the receipts. When an LLM operates on raw, ungrounded data, it guesses at business rules and burns tokens doing it. When that same LLM is paired with a trusted, governed Alteryx workflow, the results change dramatically. This is the Faster / Better / Cheaper equation you'll own: Faster, because governed workflows resolve in a fraction of the time raw LLM reasoning takes. Better, because every answer is Visible, Understandable, Repeatable, and Auditable (Alteryx calls this VURA) instead of a one-off, unverifiable guess. Cheaper, because customers stop paying the “re-work tax” of rebuilding business logic and re-burning tokens every time they plug in a new agent or model.

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.

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.