Lead Learning Product Specialist (AI)

Location: United States

Base salary: $137,100–$235,750 annually, depending on pay zone and location.

Company

Databricks provides a unified Data and AI Platform used by organizations worldwide to build and scale data and AI applications, analytics, and agents.

What you will do

• Define the product vision, strategy, and roadmap for AI-first learning systems and unified skills infrastructure.
• Design contextual, in-product learning experiences triggered by user behavior, errors, task types, and work context.
• Translate pedagogical goals into learner models, skills graphs, progress tracking, adaptive paths, assessments, and feedback loops.
• Partner with engineering, infrastructure, UX, content design, education, documentation, curriculum, and go-to-market teams to deliver scalable learning capabilities.
• Develop analytics, predictive signals, dashboards, and reporting to measure learning efficacy, skill attainment, and capability gaps.
• Build AI- and automation-enabled tools for personalized learning delivery and engage customers, partners, and field teams to define product requirements.

Requirements

• 5–8+ years of experience in product management, UX-focused product roles, or learning and education platforms.
• Experience owning a product area end to end, including strategy, roadmap definition, PRDs, cross-functional collaboration, and feature delivery.
• Experience with learning systems, training platforms, content or knowledge experiences, LMS, certification, education analytics, or in-product guidance.
• Strong UX judgment and experience working with designers and researchers on intuitive flows, information architecture, and content experiences.
• Ability to define metrics, instrument experiments, and use analytics to understand user behavior, learning outcomes, and skills gaps.
• Excellent written and verbal communication skills, including the ability to explain complex concepts clearly and advocate for learners.

Nice to have

• Experience with AI-powered learning, adaptive systems, or incorporating LLMs into user workflows.
• Experience in B2B SaaS, developer tools, or data and AI products.

Culture & Benefits

• Comprehensive benefits and perks are offered, with details varying by region.
• Annual performance bonus and equity may be included in the total compensation package.
• Inclusive hiring practices and a workplace focused on diversity and equal employment opportunity.
• Access to a global organization with more than 30 offices and customers worldwide.