About the role
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . As Director of Product Marketing, you will own the platform-level narrative that anchors the Platform for AI Success — the story that ladders every Dataiku capability to a single, differentiated category position. You will be the steward of Dataiku's platform messaging, the senior PMM voice with industry analysts, and the launch lead for the most strategically important product moments on the roadmap. You'll partner closely with the VP of Product Marketing, the Product organization, and Sales leadership to ensure the platform narrative shows up consistently across analyst briefings, executive keynotes, customer conversations, and field enablement. You'll also lead flagship product launches that shape Dataiku's category position and require a senior PMM leader who can translate platform vision into market-ready storytelling. This role is for a builder who can carry the torch on existing platform positioning while extending it into new markets. Dataiku is an established category leader with strong analyst recognition; your job is to sharpen and extend that position, not start from scratch. Core
Responsibilities Platform Narrative — Own the master messaging architecture and AI Success Formula across every product, persona, and campaign. Drive differentiated positioning and maintain coherence across peer PMMs. Flagship Launches — Lead end-to-end GTM for Dataiku's most strategic launches: positioning, messaging, sales enablement, analyst briefings, and integrated campaigns. AI Governance — Own positioning for Dataiku's governance framework and translate evolving regulation (EU AI Act, NIST AI RMF) into sales talk tracks and customer assets. Analyst Relations — Lead Gartner, Forrester, and IDC engagement including MQ/Wave briefings and strategic inquiries. Executive Storytelling — Own the company narrative deck, keynote content, and competitive positioning for high-stakes customer and event conversations. Success Profile 8–12 years B2B Product Marketing experience at a data, AI, ML, or enterprise software company; experience at Databricks, Snowflake, DataRobot, Alteryx, or a hyperscaler AI org is a plus Proven track record owning platform-level messaging for a multi-product company Direct experience leading flagship launches that shaped category position Hands-on ownership of top-tier analyst engagements (Gartner MQ, Forrester Wave) Deep fluency in the AI/ML stack — LLMs, agents, MLOps, governance Strong writer and communicator across technical and executive audiences Strategic operator; builder mindset; direct, low-ego collaborator Skills & Competencies Deep expertise in B2B platform messaging, competitive positioning, and category creation. Strong fluency in the AI/ML technology stack. Comfortable discussing LLMs, agents, MLOps, governance frameworks, and the broader enterprise AI landscape with technical and executive audiences alike. Excellent written and verbal communication. You write narratives that move markets and brief analysts, executives, and customers with equal credibility. Sophisticated understanding of how to translate evolving regulation into business-relevant positioning. EU AI Act experience is a meaningful plus. Strategic operator who can simultaneously hold a long-arc category position and ship near-term launches against tight timelines. Experience contributing to or owning pricing and packaging narrative is a plus, particularly for consumption- and usage-based commercial models. #LI-LP1