Lead Learning Technical Enablement Specialist
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Maintainer signals as of 9/25/2026
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define the vision, strategy, and roadmap for AI-first learning systems. You will turn pedagogical goals into platform capabilities, build contextual learning experiences, collaborate with design and engineering, develop learning analytics, create personalization tooling, and translate customer needs into product requirements.
Requirements
- 5–8+ years of product management, UX-focused product, or learning platform experience
- Experience owning product strategy, roadmaps, PRDs, and user-facing feature delivery
- Experience with learning systems, training platforms, or knowledge experiences
- UX collaboration experience
- Ability to define metrics, instrument experiments, and analyze user behavior and learning outcomes
- Written and verbal communication skills
- Experience with AI-powered learning, adaptive systems, or LLM-enabled user workflows
Responsibilities
- Define and drive the product vision, strategy, and roadmap for AI-first learning systems
- Design contextual learning experiences triggered by work context
- Translate pedagogical goals into learner models, skills graphs, adaptive paths, assessments, and feedback loops
- Partner with UX and content design on embedded guidance and learning patterns
- Collaborate with platform and infrastructure teams on reliable, secure, scalable systems
- Define predictive signals and analytics for skill and capability gaps
- Build personalization features and tooling using AI and automation
- Provide skills and progress insights through dashboards and reports
- Enable self-service configuration and experimentation for learning teams
- Gather customer and partner learning needs and turn them into product requirements
Benefits
- Annual performance bonus eligibility
- Equity eligibility