Director, Product Management - AI
$216k - $236kJobleads-US
- Director, Product Management - AIAlteryxUS - RemoteFull-time$216,000 – $236,000 / yearAI tools:ChatGPTClaudeGeminiUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis product leadership role owns Alteryx’s AI product strategy, focusing on demonstrating how governed workflows improve the speed, reliability, and cost of using large language models. You’ll set the roadmap, work with engineering and data science, and make the product’s AI value clear to customers and industry analysts.* Permanent* Fully Remote* 10+ years* Bachelor's Degree required; graduate degree preferred### Skills and expertiseProduct managementLarge language models (LLMs)AI agentsAI product strategyRetrieval and groundingAI ROI and TCO analysisEnterprise softwareCross-functional leadership### Key responsibilities* Set the roadmap for connecting governed Alteryx workflows and business logic to AI agents and LLMs.* Partner with engineering and data science to measure and improve AI product cost and speed.* Quantify customer AI ROI and represent the product vision to customers, analysts, and industry audiences.## How this job comparesCompared with 68 open director product jobs on October 10, 2026.Pay: This job pays $216K to $236K a year. The 35 open director product jobs that publish US pay start at $221K on average, so this job starts in line with them.Similar open jobs: We Love AI Jobs lists 68 open director product jobs at 42 companies.Remote work: This job is remote. 27 of the 68 director product jobs (40%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. AI product development is the core of the role, including grounding LLMs in governed business logic and extending Alteryx products into AI agents. The director will work closely with engineering and data science to measure product performance and deliver AI capabilities.## Full descriptionMeet the Moment with AlteryxWe'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.ALTERYXDirector of Product Management, AILocation: West Coast, US (Seattle preferred)Department: Product Management | Reports to: SVP of ProductThe OpportunityAlteryx 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.What You'll Do• 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.What You'll Bring• 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.
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