AI-Driven Skills Architect & Capability Modeler

Neon; United States; On-site; USD 106,000 - 145,000; Full time

Job summary

Databricks is hiring a builder to own systems for defining, measuring, and developing technical capability across learners, customers, and partners. You’ll design a capability model that ties roles, skills, content, and credentials together with instrumentation to show where capability stands.

You’ll define skills taxonomies, stand up AI-informed signals, and build AI-native tooling to keep the model current. Your work informs learning architecture, content strategy, and certification.

Qualifications

• Experience in technical training, learning, enablement, or product education in data & AI, cloud, or comparable product categories.
• Experience designing capability or skills models and the systems around them, spanning modeling, measurement, and instrumentation.
• A builder mindset. Ability to use Python and SQL and build apps, with AI assistance, and wire up pipelines and stand up tooling yourself.
• AI-native. AI tooling is how you build and reason, from extraction and assessment to agentic workflows and evaluation.
• A track record of moving strategy as an IC through analysis and clear writing.

Responsibilities

• You will sit upstream of and across several teams and functions to define, measure, and develop technical capability across learner audiences.
• Define skills taxonomies and capability models that tie roles, skills, content, and credentials together.
• Stand up instrumentation and AI-informed signals showing capability status and drift.
• Build reusable enterprise context and APIs exposed to other systems, teams, and products.
• Influence learning architecture, content and certification planning using the capability model.

Skills

Python

SQL

Technical training

Product education

Tools

AI tooling

Job description

Databricks is hiring a builder to own systems for defining, measuring, and developing technical capability across learners, customers, and partners. You’ll design a capability model that ties roles, skills, content, and credentials together with instrumentation to show where capability stands.

You’ll define skills taxonomies, stand up AI-informed signals, and build AI-native tooling to keep the model current. Your work informs learning architecture, content strategy, and certification.