FEQ425R193
Location: This is a fully remote position
About the Role
We are seeking a Staff Technical Enablement Specialist to lead high-impact enablement programs that accelerate new product adoption and enhance field readiness. This role is ideal for a technical professional with hands-on experience in technical field roles (such as solutions architecture, pre-sales, or consulting).
Leveraging your technical field experience, you will design and scale innovative ways for technical field teams to build new product expertise, ensuring they have the skills and confidence to drive customer success. This includes creating comprehensive learning pathways, multi-modal learning, real-world use cases, with hands-on activities. Working closely with technical field teams, enablement leaders, and product stakeholders, you will drive high-impact training programs that empower the field. This is an exciting opportunity to shape the future of technical enablement at Databricks.
This role requires technical depth, strategic program design, and execution to ensure seamless field readiness. You will drive adoption of new product innovation, 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, with prior experience in a Pre-Sales capacity as a bonus.
Key Responsibilities:
- Conduct discovery with key stakeholders to identify enablement gaps and develop structured learning pathways that integrate instructor-led training, self-paced modules, hands-on labs, certifications, and competitions.
- Develop a roadmap of enablement programs that aligns with product launch timelines and field objectives, ensuring content is high-impact, scalable, and consistently structured.
- Partner with Product, Engineering, Field Engineering Leadership, and SMEs to incorporate real-world use cases, product updates, and best practices into training materials.
- Oversee the development of technical enablement content, POC templates, demos, and hands-on workspaces, ensuring accuracy, engagement, and practical application.
- Lead technical workshops, enablement sessions, and hands-on problem-solving exercises to reinforce deep product knowledge and confidence in the field.
- Standardize methodologies for scoping, structuring, and delivering new product enablement materials to drive consistency, scalability, and impact.
- Act as a trusted technical enablement advisor, advocating for the needs of the field and proactively identifying opportunities to enhance their technical capabilities.
Required Skills and Experience
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 7+ years of experience in technical enablement, curriculum development, or related roles focused on technical audiences.
- Deep understanding of data and AI technologies, with hands-on experience using platforms like Databricks.
- Proven track record of designing, developing, and delivering successful technical enablement programs.
- Strong technical aptitude and ability to quickly grasp complex technical concepts.
- Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate with technical and non-technical audiences.
- Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
Preferred Qualifications
- Prior direct experience in a Pre-Sales role building POCs and technical solutions to support customer needs.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop, etc.).
- Databricks certification or experience with Apache Spark™, MLflow, Delta Lake, and other open-source technologies.
- Knowledge of instructional design principles and adult learning theories.
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
$120,000—$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.
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