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Customer Enablement Specialist

Databricks
Hybrid - Bellevue, WAUpdated 5d ago
Total compensation
$87k–$119k
Published total compensation range
Location
Hybrid - Bellevue, WA
Remote eligibility
Employment
Full-time
Mid-level
Role family
Customer Success
AI / ML
Apply on databricks.com
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About the job

About the Role

Databricks runs some of the largest customer enablement programs in the industry — workshops, digital courses, labs, and webinars that reach thousands of users. The Customer Enablement Specialist connects engaged learners to structured training plans that drive product adoption, customer success, and measurable business impact. This is not a sales or business development role; every conversation begins with an existing Databricks user or program participant. The role manages a broad portfolio of accounts, supporting new and emerging personas — business users, analysts, and app developers — and helping them succeed with Databricks' latest innovations in AI/BI, Databricks Apps, and agent-based development. This role is required to work in a hybrid office setting in the Bellevue, WA office.

What You'll Do

  • Convert participation in Databricks' scale programs (webinars, workshops, digital learning) into structured training engagements.
  • Own a high-volume enablement pipeline — identifying learner needs, recommending tailored paths, and tracking adoption progress.
  • Deliver engaging L100–L200 sessions and demos to help new personas understand what's possible with Databricks.
  • Build enablement plans for each account, tracking trained users, completion rates, and milestone achievement.
  • Partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles.
  • Report key metrics — trained accounts, learner growth, conversion rates, and training revenue — using data to guide priorities.
  • Provide structured feedback to program and curriculum teams to sharpen future customer learning experiences.

What You Bring

  • 2–4 years in a technical, customer-facing role — technical training, pre-sales, enablement, or customer success preferred.
  • Hands-on familiarity with modern data and analytics platforms (Databricks, cloud SQL, BI tools, or data lakes).
  • Confidence delivering introductory technical content to non-expert audiences.
  • Working knowledge of AI/ML concepts — able to explain how Databricks enables practical use cases.
  • Strong communication skills and a consultative approach: discover needs, recommend paths, and gain commitment.
  • A data-driven mindset with strong organizational habits and comfort managing many concurrent accounts.
  • Team-first attitude — proactive collaborator who knows when to escalate for deeper technical support.

Bonus points: Databricks certifications or willingness to certify (Data Engineer Associate, Databricks certifications or willingness to obtain within 6 months); background in SaaS, cloud, or data platforms; familiarity with BI or AI/BI tools (Databricks Genie, Tableau, Power BI); exposure to Databricks Apps, REST APIs, or AI agent concepts; experience in a role with enablement or training-related revenue metrics.

Compensation & Benefits

Zone 2 pay range: $86,600—$119,150 USD. The total compensation package may also include eligibility for annual performance bonus, equity, and the benefits listed above. Databricks is committed to fair and equitable compensation practices; actual packages are based on job-related skills, depth of experience, relevant certifications and training, and specific work location.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

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