Sr. Technical Enablement Program Specialist

Posted:
9/5/2024, 5:48:34 AM

Location(s):
San Francisco, California, United States ⋅ California, United States

Experience Level(s):
Senior

Field(s):
Product

Pay:
$244/hr or $507,520 total comp

FEQ325R107

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

About the Role:

The Field Enablement team is committed to ensuring our Go-To-Market organization has the processes, skills, and technical expertise necessary to effectively engage with customers and partners throughout their journey. We are looking for a candidate with a strong background in technical field enablement, a deep understanding of adult learning principles, and knowledgeable and hands on with Data and AI technologies. 

In this role, you will own and implement large-scale technical enablement programs, working cross-functionally to boost the productivity of our Field Engineering teams. We're seeking someone passionate about enablement, eager to coach and collaborate with Technical SMEs and the Field Engineering community, with strong technical expertise in our platform, especially in Consumption Motion and Data and AI. A learner-focused mindset is essential for designing and delivering innovative, tailored programs for the field.

Given the technical nature of this position, having a strong technical background is essential. You will frequently collaborate with technical Subject Matter Experts (SMEs) to ensure our programs are grounded in real-world technical requirements and reflect the most current product updates and capabilities. Your ability to speak the language of technical professionals and understand complex technical concepts will be key to building effective training modules.

Your strategic mindset and program management skills will be crucial in driving performance and fostering a culture of continuous learning and development within our organization.

This role reports to a Sr. Manager in the Technical Enablement organization within Field Engineering.

The Impact You Will Have:

  • Design and develop comprehensive enablement programs that enhance the skills and productivity of technical, customer-facing roles within the Field Engineering organization. Your programs will focus on role-specific responsibilities, technical specialization, and the technical sales cycle.
  • Develop and implement targeted enablement initiatives designed to increase field productivity, ensuring technical teams are equipped with the skills and knowledge needed to efficiently engage with customers and drive successful outcomes.
  • Collaborate closely with technical Subject Matter Experts (SMEs) to create and curate enablement content that reflects the latest product updates, platform advancements, and industry best practices, ensuring our teams are prepared to handle complex customer scenarios.
  • Lead initiatives that integrate real-world use cases into enablement programs, allowing technical field teams to apply their skills in practical, scenario-based learning environments.
  • Manage and oversee the end-to-end program development process, from discovery and program design to implementation and evaluation, ensuring that all programs align with organizational goals and deliver measurable results.
  • Develop and implement assessment frameworks and establish productivity metrics to measure the effectiveness of enablement programs on a continuous basis.
  • Utilize feedback and performance data to continuously refine and enhance enablement's approach.
  • Foster a collaborative environment that encourages continuous learning and knowledge sharing among technical teams, promoting a culture of innovation and excellence in customer engagement.

What We Look For:

  • Deep experience in developing/delivering training & enablement, ideally in a Tech / Data focused company.
  • A track record of designing and executing enablement programs that measurably improve the productivity and effectiveness of field teams, particularly in technical and customer-facing roles.
  • Strong technical background with the ability to understand and communicate complex technical concepts to diverse audiences. Experience working closely with technical SMEs to develop accurate and effective training content is highly desirable.
  • Demonstrated success in developing and delivering enablement programs tailored to technical, customer-facing roles, with a focus on role-specific skills, technical specializations, and sales cycle strategies.
  • Ability to manage multiple projects and priorities in a fast-paced, dynamic environment, with strong program management skills and attention to detail.
  • Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences.
  • Ability to work well in a fast-paced dynamic environment, able to manage competing priorities, manage ambiguity, and stay flexible through growth and change.
  • A strategic thinker who is comfortable with ambiguity and capable of adapting to rapidly changing environments while maintaining a focus on long-term goals.
  • Strong analytical skills, with the ability to translate data and insights into actionable strategies that drive performance and productivity within technical teams.

 

Benefits:

  • Medical insurance reimbursement or collective healthcare scheme
  • Accident and income protection insurance
  • Pension Plan
  • Enhanced Parental Leaves
  • Equity awards
  • Fitness reimbursement
  • Annual career development fund
  • Home office & work headphones reimbursement
  • Business travel accident insurance
  • Mental wellness resources
  • Employee referral bonus

 

 

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
$90,000$159,200 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 TwitterLinkedIn and Facebook.

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.

Databricks

Website: https://databricks.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 5001-10000

Year Founded: 2013

IPO Status: Private

Last Funding Type: Series I

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning