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Staff Technical Enablement Specialist - Technical Programs
United States
Location: This is a fully remote position
REQ ID: FEQ226R255
About the Role:
We are seeking a Staff Technical Enablement Specialist to lead a flagship global program focused on domain specialization and technical mastery. This role is ideal for a technical professional with hands-on experience in technical field roles (such as solutions architecture, pre-sales, consulting, or engineering) who also brings strong program management and enablement expertise.
You will design and scale innovative ways for technical teams to build domain mastery and develop deep expertise across technical domains. This includes leveraging multi-signal validation of expertise, real-world experience, problem-solving, and immersive learning. Working closely with technical field teams, enablement leaders, and stakeholders, you will drive high-impact training programs that empower teams to excel in customer engagements and technical decision-making.
This role requires technical depth, strategic program design, influential skills, and execution to elevate productivity in the field. You will advance specialization, foster continuous learning, and enable teams to perform at the highest level.
Additional qualities we look for:
- Possess or be willing to develop a high degree of proficiency in foundational Data/AI concepts, including the Lakehouse Architecture.
- Experience supporting and enabling technical audiences in creating proofs-of-concept (POC) and technical solutions, with prior experience in a Pre-Sales capacity as a bonus.
The impact you will have:
- Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
- Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
- Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
- Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
- Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
- Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
- Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.
What we look for:
- 7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
- Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
- Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
- Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
- Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
- [Preferred] Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers.
- [Preferred] Databricks certification or experience with Apache Spark™, MLflow, Delta Lake, and other open-source technologies.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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
$153,800—$235,900 USD
Zone 2 Pay Range
$138,400—$212,300 USD
Zone 3 Pay Range
$130,800—$200,500 USD
Zone 4 Pay Range
$123,000—$188,700 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
Top Skills
Databricks San Francisco, California, USA Office
160 Spear Street, San Francisco, CA, United States, 94105
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