Databricks hiring Technical Enablement Specialist, Field Engineering • Remote (Work from Home) | Himalayas
DatabricksDA

Technical Enablement Specialist, Field Engineering

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.

Databricks

Employee count: 1001-5000

Salary: 123k-215k USD

United States only

FEQ425R193

Location: This is a fully remote position
Office Policy: Fully remote with expectation for travel once or twice per quarter to relevant business gatherings (QBR, Kickoff, Offsite, in-person training, etc.)

About the Role

We are seeking an Enablement professional to help support Field Enablement for the Americas Enterprise and Emerging (AEEB) Business Unit (BU), with a heightened focus on the Field Engineering (FE) component of this joint Sales + FE go-to-market (GTM) team. AEEB includes Startups, Digital Natives (DNB), Emerging Enterprise (EE), Latin Americas (LATAM), Communications, Media, Entertainment, & Gaming (CMEG), and Retail, Consumer, Travel (RCT).

The enabler will be a critical business partner to the VP of AEEB FE along with sales and the cross functional teams that support revenue growth within the BU. The enabler will also be responsible for co-developing and executing the AEEB FE enablement strategy for FE personnel (individual contributors and leaders alike). The FE enablement strategy will align back to the broader company-wide GTM priorities.

The ideal candidate will bring expertise in technical field enablement and adult learning principles. Alongside that pedigree, a deep understanding of a consumption-based sales motion and a genuine passion for Data & AI technologies are preferred.

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 role will report directly to the AEEB Enablement leader.

Key Responsibilities:

  • Co-develop a comprehensive FE enablement strategy in partnership with A) the AEEB FE and Sales leadership teams, B)cross-functional leaders, and C) the cross-functional teams aligned to America's Enterprise and Emerging Business.
  • Ensure FE teams are proficient in product knowledge (e.g.: Data Warehouse, GenAI, Unity Catalog, etc.), technical product enablement, industry positioning, and business value.
  • Work cross-functionally with Sales, Marketing, Partner, Sales Ops, and GTM teams to ensure A) the highest quality materials/programs are built, which B) drive measurable results positively and meaningfully impacting customers.
  • Design programs that can be scaled globally, share best practices across business units, and validate their efficacy.

The Role's Impact

  • Partner closely with FE leadership, FE individual contributors, Sales Enablement and other stakeholders to discover, validate, prioritize, and scale technical enablement initiatives equally in a bottoms-up and a tops-down capacity.
  • Collaboratively triage the most critical initiatives which stand to drive the largest efficiencies in AEB FE, thereby optimizing FE mindshare utilization.
  • Tailor company-wide initiatives and programs specifically to the context of AEB FE.
  • Coordinate, orchestrate, and/or facilitate FE enablement sessions, ongoing workshops, and/or launches in the AEB BU.

Required Skills and Experience

  • 6+ years of relevant experience in technical pre-sales, technical enablement, or data/ai technical-adjacent roles.
  • Experience delivering large-scale training and enablement solutions in a Tech or Data/AI company, targeted at a technical audience.
  • Expertise in stakeholder management
  • An understanding of the processes and nuances associated with a technical platform-as-a-service sales and delivery motion.
  • Possess or be willing to develop proficiency in foundational Data/AI concepts, the Lakehouse Architecture and Databricks product.
  • Experience supporting and enabling technical audiences in creating complex proofs-of-concept and technical solutions to support customer needs.
  • Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences
  • Prior direct experience in a Pre-Sales role building POCs and technical solutions is a 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 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$153,800—$215,375 USDZone 2 Pay Range$138,400—$193,825 USDZone 3 Pay Range$130,800—$183,075 USDZone 4 Pay Range$123,000—$172,275 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, LinkedInandFacebook.

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.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 123k-215k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Databricks

Learn more about Databricks and their company culture.

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As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

Databricks was founded in 2013 and has thousands of global customers including Comcast, Shell, HP, Expedia, and Regeneron. The company also has hundreds of global partners that include Microsoft, Amazon, Tableau, Informatica, Cap Gemini and Booz Allen Hamilton. Databricks is founded by the original creators of popular open source projects, including Apache Spark, Delta Lake, MLflow and Koalas.

Employee benefits

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Equity benefits

So you are rewarded for your best work.

Retirement benefits

401(k) plan to help you invest in your future.

Learning and development budget

Annual personal development fund to grow your skills.

Fertility benefits

We'll help pay for people going through family planning.

View Databricks's employee benefits
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Databricks

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