Lead Technical Enablement Specialist, Field Capability & ReadinessActive$171K

Databricks
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The opportunity

The Field Engineering role is changing quickly. AI is changing how technical work gets done, products and customer needs are evolving faster, and the capabilities that distinguish an exceptional FE today will not be exactly the same ones that matter tomorrow.

What you'll do

  • 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.

What they're looking for

  • + 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.
  • Strong strategic judgment and executive presence. You can partner with: Directors and VPs to shape priorities, make tradeoffs, challenge assumptions constructively, and turn a broad vision into clear decisions.
  • A product mindset. You start with the user and the problem, test assumptions,: design for adoption, and continuously improve the experience based on evidence.
  • The ability to balance rigor with practicality. You know how to create: credible standards and meaningful signals without adding unnecessary friction for the field.
  • Strong data fluency. You can define useful measures, interpret dashboards,: identify patterns, and use data and field feedback to drive decisions.
  • Experience partnering with internal product, engineering, or platform teams: to turn program requirements into scalable tools and workflows.
  • Genuine curiosity about AI and its impact on technical work, customer: engagement, and organizational capability. Hands-on experience using AI to improve assessment, personalization, content, or operations is a plus.