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Databricks

Lead Technical Enablement Specialist, Field Capability – Readiness

Databricks

. Set the vision and roadmap for Field Engineering capability .

Posted 11/2/2026full-timeRemote • Texas • United StatesSenior💰 $137,100 - $235,750 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in technical enablement and product management, with a strong focus on building scalable systems and readiness experiences. Possesses data fluency and strategic judgment to drive program adoption and continuous improvement in a high-growth technology environment.

Highest-signal resume keywords
Technical EnablementProduct ManagementData FluencyAI CuriosityStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Skills VerificationTechnical DemonstrationsCapability StandardsAssessment ModelsCompetency FrameworksAI Impact AnalysisUser Needs FocusContinuous ImprovementScalable Tools DevelopmentProgram Leadership
Soft Skills
Strategic JudgmentExecutive PresenceExcellent CommunicationOwnership MindsetCuriosity
Tools & Technologies
Internal PlatformsEnterprise SoftwareAssessment Design ToolsData DashboardsFeedback Systems
Industry Keywords
Field EngineeringLearning and DevelopmentHigh-Growth TechnologyCommunity-Driven Expertise ModelsAdult Learning

About the role

Key responsibilities & impact
  • Set the vision and roadmap for Field Engineering capability
  • Own and evolve a portfolio of readiness experiences, including skills verification, technical demonstrations, role-based pathways, credentials, and practical application
  • Invent and prototype new ways for Field Engineers to build and prove expertise
  • Partner with practitioners, managers, product teams, and subject-matter expert communities to define credible capability standards
  • Adapt capability models and programs for an AI-enabled future
  • Partner with internal platform and engineering teams to create scalable systems and make skills, evidence, readiness milestones, and recommendations visible
  • Build the operating model, governance, quality standards, content and assessment lifecycles, and feedback loops for a federated technical organization
  • Drive program adoption through stakeholder planning, manager engagement, field listening, and data-informed improvement
  • Define measures of participation, proficiency, capability coverage, readiness, and emerging gaps
  • Connect demonstrated capability to development, specialization, succession planning, and career progression
  • Establish a shared point of view, roadmap, high-value readiness experiences, cross-functional partnerships, leader visibility, and measurable progress in the first year

Requirements

What you’ll need
  • 6+ years of experience in technical enablement, product management, learning and development, consulting, field engineering, or program leadership within a high-growth technology company
  • Track record of building and scaling something new from ambiguity
  • Strong strategic judgment and executive presence
  • Product mindset focused on user needs, adoption, testing, and continuous improvement
  • Ability to balance rigorous standards with practical, low-friction experiences
  • Strong data fluency, including defining measures, interpreting dashboards, identifying patterns, and using data and field feedback to drive decisions
  • Experience partnering with internal product, engineering, or platform teams to create scalable tools and workflows
  • Genuine curiosity about AI and its impact on technical work, customer engagement, and organizational capability
  • Technical fluency in data and AI, or curiosity and learning agility to build it quickly
  • Excellent communication skills across technical, enablement, regional, and executive stakeholders
  • Strong ownership mindset and ability to operate in a distributed, cross-functional environment
  • Hands-on experience using AI to improve assessment, personalization, content, or operations is a plus
  • Nice-to-have experience with skills taxonomies, competency frameworks, technical certifications, assessment models, or role-based capability systems
  • Nice-to-have experience with community-driven expertise models, learning science, adult learning, assessment design, internal platforms, enterprise software enablement, or customer-facing technical roles

Benefits

Comp & perks
  • Annual performance bonus eligibility
  • Equity eligibility
  • Comprehensive benefits and perks
  • Region-specific benefits information available
  • Equal employment opportunity and inclusive culture