Technical Enablement Specialist - Field Engineering Onboarding

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Technical Enablement Specialist  - Field Engineering Onboarding

The Impact You’ll Have

We are seeking a Technical Enablement Specialist to lead and advance how we onboard new Field Engineers at Databricks. 

At Databricks, we’re all builders. This role will develop the future of technical GTM Onboarding in the era of AI and innovate a highly-scaled program with a builder mentality. 

You will ensure every Field Engineer - from Solution Architects to Forward Deployed Engineers - leaves their ramp period with the core skillsets required of our technical GTM team, and can demonstrate role-readiness across our platform, product, and customer advisor competencies. 

This is an individual contributor role where you’ll lead through direct ownership, building AI-native enablement solutions, and cross-functional influence. 

What You’ll Do

• Reimagine Field Engineering Onboarding and serve as the technical innovation engine for ramping technical GTM teams.
• Leverage deep technical expertise to build, ship, and accelerate AI-native onboarding experiences, avoiding manual, one-size-fits-all approaches with tools that scale globally.
• Codify what 'great' looks like for a new Field Engineer in an AI-first world — working with FE leadership and StratOps to translate field expectations into measurable onboarding milestones.
• Advance the Field Engineering in-person onboarding experiences and lead the global planning and delivery, partnering with Onboarding Ops and Technical Trainers.
• Serve as an advisor and trusted enablement partner to the Solution Engineering early career program.
• Build strong partnerships with global Field Engineering, Product, and StratOps leaders to keep onboarding current and grounded in what the field actually needs on day one.
• Accountable for Field Engineering Onboarding OKRs - role-readiness and velocity - and collaborate with StratOps on leading indicators and results.
• Travel (up to 25%) for onboarding program delivery as you deploy new features and continuously innovate.

What Success Looks Like

• The AI tools, skills, and assessments you build are actively used by new hires and carried into the field. 
• Field Engineers leave onboarding with validated skillsets in building with Databricks and are prepared to serve as trusted advisors in their accounts. 
• Develop durable AI-native solutions for the global planning, operations, and delivery of Field Engineering Onboarding. 
• Land early wins to personalize onboarding in the first 3 months, with a roadmap to mature over the first 6 months.
• Be a trusted voice and enablement partner to the early career Solutions Engineering leadership team.
• Partner with the Technical Excellence and Field Enablement teams to align onboarding to global and regional priorities. 

What We Look For 

• 5+ years of experience in a GTM role, including solution engineering or solution architecture, post-sales or delivery, GTM enablement, or GTM Onboarding in a hyper-growth SaaS/AI environment.
• Deep technical skills and strong knowledge of a Field Engineering organization. 
• A sharp instinct for field-readiness and the judgment to design a ramp that gets someone there fast.
• Demonstrated ability to own high-impact and scaled programs over time, with outsized outcomes as an individual contributor. 
• Experience building technical enablement or internal tools with AI (skills, apps, or content) and demonstrated ability integrate AI into programmatic workflows.
• Strong executive presence and stakeholder management skills; ability to influence senior leaders and cross-functional partners.
• Exceptional communication. You make complex technical concepts land for a technical audience across every role and tenure.
• A bias for shipping and iterating in a fast-moving environment.

Nice To Have

• Hands-on Databricks experience, or experience with competitive platforms.
• Familiarity with a consumption-based business motion.
• Experience designing onboarding or enablement at a data, AI or infrastructure company during a period of rapid scaling.
• Comfortable with facilitation and the ability to “own the room” from the front of the classroom.

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 1 Pay Range$111,000—$152,550 USDZone 2 Pay Range$99,800—$137,300 USDZone 3 Pay Range$94,300—$129,700 USDZone 4 Pay Range$88,800—$122,100 USD

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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.