Technical Enablement Specialist - Field Engineering Onboarding
$88.8k - $152.6k+ Annual performance bonus + Equity
Senior
United States
In PersonTravel up to 25% for onboarding program delivery.
TrainingCorporate & Technical Training
About the job
Requirements
- At least 5 years of experience in a go-to-market role, including solution engineering or solution architecture, post-sales or delivery, go-to-market enablement, or go-to-market onboarding in a hyper-growth software-as-a-service or artificial intelligence environment.
- Deep technical skills and strong knowledge of a Field Engineering organization.
- A sharp instinct for field-readiness and the judgment to design an effective ramp.
- Demonstrated ability to own high-impact, scaled programs over time and deliver outsized outcomes as an individual contributor.
- Experience building technical enablement or internal tools with artificial intelligence, such as skills, apps, or content, and the ability to integrate artificial intelligence into programmatic workflows.
- Strong executive presence and stakeholder management skills, and the ability to influence senior leaders and cross-functional partners.
- Exceptional communication skills to explain complex technical concepts to technical audiences across roles and tenure.
- A bias for shipping and iterating in a fast-moving environment.
Responsibilities
- Reimagine Field Engineering Onboarding and serve as the technical innovation engine for ramping technical go-to-market teams.
- Build, ship, and accelerate artificial-intelligence-native onboarding experiences using deep technical expertise and scalable tools instead of manual, one-size-fits-all approaches.
- Define what strong performance looks like for a new Field Engineer in an artificial-intelligence-first environment, working with Field Engineering leadership and Strategy and Operations to translate field expectations into measurable onboarding milestones.
- Advance in-person Field Engineering onboarding experiences and lead global planning and delivery in partnership with Onboarding Operations and Technical Trainers.
- Serve as an advisor and enablement partner to the Solution Engineering early-career program.
- Partner with global Field Engineering, Product, and Strategy and Operations leaders to keep onboarding current and grounded in field needs.
- Own Field Engineering Onboarding objectives and key results for role-readiness and velocity, and collaborate with Strategy and Operations on leading indicators and results.
- Travel up to 25% for onboarding program delivery while deploying new features and continuously innovating.
- Build artificial-intelligence tools, skills, and assessments that are actively used by new hires and carried into the field.
- Ensure Field Engineers leave onboarding with validated skills in building with Databricks and are prepared to serve as trusted account advisors.
- Develop durable artificial-intelligence-native solutions for global planning, operations, and delivery of Field Engineering Onboarding.
- Personalize onboarding in the first three months and develop a roadmap to mature it over the first six months.
- Partner with Technical Excellence and Field Enablement teams to align onboarding with global and regional priorities.
Desired Qualifications
- Hands-on Databricks experience or experience with competitive platforms.
- Familiarity with a consumption-based business motion.
- Experience designing onboarding or enablement at a data, artificial intelligence, or infrastructure company during a period of rapid scaling.
- Comfort with facilitation and the ability to lead a classroom.
About the company
Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$32.1B
Headquarters
San Francisco, California
Founded
2013
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Simplify's Take
What believers are saying
- Growth supports larger product bets: Databricks reported over 80% yearly growth and a $7 billion revenue run-rate in August 2026.
- Employees try frontier AI immediately: Databricks says its 12,000 staff received day-one access to September 2026 model releases.
- Existing customers spend more: Databricks reported over 140% revenue retention in February 2026, after contractions and departed accounts.
What critics are saying
- Steep valuation: Databricks' August 2026 round valued it near 27 times its $7 billion annualized revenue milestone.
- A partner controls part of the bill: Microsoft sets Azure Databricks prices and bills those customers directly.
- Equity needs planned liquidity: Databricks remains privately held, so employee shares lack an everyday stock-market exit.
What makes Databricks unique
- Governance extends beyond its own engine: Databricks publishes Unity Catalog's core APIs and server as open source.
- Apps run beside analytics: Databricks' Lakebase combines a Postgres database with its data lake and isolated testing branches.
- Its roots are in distributed computing: Databricks' founders created Apache Spark, which processes large datasets across many computers.
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Benefits
- Extended health care including dental and vision
- Life/AD&D and disability coverage
- Equity awards
- Flexible Vacation
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Employee Assistance Program (EAP)
- Business travel accident insurance
- Paid Parental Leave