Lead Technical Enablement Specialist, Field Capability & Readiness

The shape of it

In the posting’s own words

This role owns a portfolio, not a single program. That portfolio may include skills verification, technical validation, role-based readiness paths, practical challenges, and new approaches we have not yet imagined. Your job is to understand where the field is headed, identify the capabilities that will matter most, and turn that insight into experiences and systems that help FEs grow and perform.

What it asks for · 10

• Demonstrated measurable progress in adoption, capability coverage, field confidence, or other outcomes that matter to the business.
• 6+ years of experience in technical enablement, product management, learning and development, consulting, field engineering, or program leadership within a high-growth technology company.
• A track record of building and scaling something new from ambiguity. You have shaped the strategy, aligned stakeholders, designed the experience, launched it, measured it, and improved it over time.
• The ability to balance rigor with practicality. You know how to create credible standards and meaningful signals without adding unnecessary friction for the field.
• Enough technical fluency in data and AI to work credibly with technical experts and evaluate whether readiness standards are relevant and meaningful - or the curiosity and learning agility to build that fluency quickly.
• Experience building community-driven models for sharing and validating expertise, such as peer review, SME networks, contribution-based credentials, or practitioner communities.
• Familiarity with learning science, adult learning, assessment design, or evidence-based evaluation.
• Experience integrating capability or enablement programs with internal platforms, such as skills systems, LMS platforms, CRM systems, or custom enterprise tools.
• Experience with industry-specific enablement or vertical go-to-market strategies in enterprise software.
• Experience in a customer-facing technical role, such as solutions architecture, sales engineering, consulting, technical account management, or data and AI engineering.

Also a plus

• Experience designing skills taxonomies, competency frameworks, technical certifications, assessment models, or role-based capability systems.
• Experience building community-driven models for sharing and validating expertise, such as peer review, SME networks, contribution-based credentials, or practitioner communities.
• Familiarity with learning science, adult learning, assessment design, or evidence-based evaluation.
• Experience integrating capability or enablement programs with internal platforms, such as skills systems, LMS platforms, CRM systems, or custom enterprise tools.
• Experience with industry-specific enablement or vertical go-to-market strategies in enterprise software.
• Experience in a customer-facing technical role, such as solutions architecture, sales engineering, consulting, technical account management, or data and AI engineering.

What the job covers

• Set the vision and roadmap for FE capability. Develop a clear point of view on how Databricks should build, demonstrate, recognize, and continuously evolve field expertise. Translate FE strategy, product priorities, customer needs, and the changing nature of technical work into a focused portfolio of investments.
• Own and evolve a portfolio of readiness experiences. Bring together existing programs and new opportunities across skills verification, technical demonstrations, role-based pathways, credentials, and practical application. Decide what to scale, redesign, connect, or retire to keep the portfolio coherent and valuable.
• Invent new ways for FEs to build and prove expertise. When the field needs a new capability, design the right experience - not automatically another course. This could be a customer scenario, a live technical demonstration, a peer review, a contribution model, an AI-enabled assessment, or something entirely new. Prototype quickly, learn from the field, and scale the strongest ideas.
• Make readiness relevant to the work FEs actually do. Partner with practitioners, managers, product teams, and SME communities to define credible standards and evidence of capability. Embed development and validation into existing FE workflows wherever possible, making readiness a pull-based experience rather than an additional layer of process.
• Help the organization adapt to an AI-enabled future. Stay close to how AI is changing FE workflows, technical depth, customer engagement, and delivery models. Ensure our capability models measure judgment, problem-solving, architecture, collaboration, and customer impact - not just static product knowledge. Experiment with AI to improve assessment quality, personalize development, surface expertise, and scale program operations responsibly.
• Create the systems and signals that make capability visible. Partner with internal platform and engineering teams to turn program concepts into simple, scalable experiences. Ensure that skills, evidence, readiness milestones, and development recommendations are useful to FEs, managers, and leaders in the systems they already use.
• Build the operating model for a federated technical organization. Establish clear ownership, governance, quality standards, content and assessment lifecycles, and feedback loops across global programs, product SMEs, regional leaders, and enablement partners. Create mechanisms that let expertise scale without centralizing every decision.
• Drive adoption through influence and strong field experience. Build the narrative, stakeholder plan, manager engagement, and operating rhythm needed to make programs matter. Listen carefully to the field, remove friction, and use adoption data and qualitative feedback to improve the experience.
• Give leaders a clear view of capability and opportunity. Define meaningful measures of participation, proficiency, capability coverage, readiness, and emerging gaps. Use data to help leaders decide where to invest, where to raise the bar, and how the FE organization is evolving.
• Connect capability to growth and career opportunities. Partner with FE leadership, HR, and career architecture owners to make demonstrated capability useful in development conversations, specialization paths, succession planning, and career progression where appropriate.

Tools and skills named

Words the posting leans on

• technical19×
• capability18×
• experience18×
• field15×
• product11×
• build10×
• program10×
• readiness10×
• expertise9×
• customer8×
• engineering8×
• leaders8×
• organization8×
• enablement7×
• fes7×
• models7×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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