Lead Technical Enablement Specialist, Field Capability & Readiness (AI)

Location: United States

Base salary range: $137,100–$235,750 USD per year, depending on pay zone and location. Additional compensation may include an annual performance bonus, equity, and benefits.

Company

Databricks is a data and AI company providing a unified platform for data, analytics, AI applications, and agents.

What you will do

• Set the vision and roadmap for Field Engineering capability, readiness, skills verification, and technical validation.
• Own and evolve a portfolio of role-based pathways, credentials, practical challenges, demonstrations, and assessments.
• Design and prototype new ways for Field Engineers to build and demonstrate expertise, including AI-enabled experiences.
• Partner with Field Engineering leaders, product and technical communities, regional teams, HR, and platform teams to embed readiness into daily workflows.
• Build scalable systems, governance, operating models, feedback loops, and capability signals for a distributed technical organization.
• Measure adoption, proficiency, capability coverage, readiness, and emerging gaps to support leadership decisions and career development.

Requirements

• 6+ years of experience in technical enablement, product management, learning and development, consulting, Field Engineering, or program leadership within a high-growth technology company.
• Demonstrated experience building and scaling new programs from ambiguity through strategy, stakeholder alignment, launch, measurement, and continuous improvement.
• Strong strategic judgment, executive presence, communication skills, ownership, and ability to influence senior stakeholders.
• Product mindset with strong data fluency and experience using evidence and feedback to improve adoption and outcomes.
• Experience partnering with internal product, engineering, or platform teams to create scalable tools and workflows.
• Technical fluency in data and AI, or the curiosity and learning agility to build that fluency quickly.

Nice to have

• Experience designing skills taxonomies, competency frameworks, certifications, assessment models, or role-based capability systems.
• Experience with peer review, SME networks, contribution-based credentials, or practitioner communities.
• Familiarity with learning science, adult learning, assessment design, or evidence-based evaluation.
• Experience integrating enablement programs with skills systems, LMS platforms, CRM systems, or enterprise tools.
• Background in customer-facing technical roles such as solutions architecture, sales engineering, consulting, technical account management, or data and AI engineering.

Culture & Benefits

• High-visibility, high-autonomy work across a global and distributed Field Engineering organization.
• Cross-functional collaboration with technical practitioners, product teams, regional leaders, HR, and internal platform teams.
• Benefits and perks are provided according to the employee's region.
• Commitment to inclusive hiring and an inclusive workplace.