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Databricks

Public Sector Field Enablement Manager

United States

The employer does not state the work arrangement.

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PayNot listed
Work arrangementNot stated
Who can applyNot stated by the employer
LevelManager
TypeNot stated
OccupationNot classified yet
Languageen
Posted20 October 2026
Last verified2 minutes ago
StatusActive

About the role

FEQ227R339

The Public Sector Field Enablement Manager builds the enablement strategy that helps Databricks win new public sector customers, deepen account engagement, and grow platform consumption with a focus on Federal and National Security. This role partners with Sales and Field Engineering leadership to translate public sector priorities into measurable improvements in field readiness, pipeline, ramp, and consumption outcomes.

The Impact You Will Have

  • Within the first 12–18 months, establish a prioritized public sector enablement roadmap supporting approximately 75 account executives and the field engineers aligned to their accounts, with progress and business impact reviewed in regular leadership business reviews.
  • Improve public sector field readiness by establishing and increasing adoption of role-specific certifications, skills, and selling behaviors for account executives and solutions architects.
  • Reduce time to productivity for new public sector account executives and solutions architects by establishing repeatable ramp outcomes tied to procurement, compliance, buyer, and Databricks platform knowledge.
  • Increase enablement-influenced pipeline and public sector consumption attainment by equipping field teams to apply segment-specific account strategies, value narratives, and sales plays in active opportunities.
  • Improve deal execution in public sector accounts by enabling teams to navigate government procurement vehicles, security requirements, compliance considerations, and competitive positioning.
  • Create a measurable feedback loop between the public sector field, business unit leadership, GTM & support teams, and Global Enablement that converts recurring field needs into prioritized programs and scales successful practices into broader enablement motions.

What We Look For

  • 6+ years of experience in sales enablement, revenue enablement, field enablement, sales, or technical pre-sales within the technology sector, including experience supporting both commercial and technical audiences.
  • Demonstrated experience supporting, selling to, or enabling teams that serve federal or national security agencies, with a practical understanding of public sector procurement, compliance, and buyer decision-making.
  • Proven ability to build and operationalize an enablement function or major program from the ground up in a fast-moving environment.
  • Experience serving as a trusted advisor to senior Sales and Field Engineering leaders and translating business strategy into prioritized enablement outcomes.
  • Exceptional written, verbal, storytelling, and presentation skills, including the ability to influence executives and engage large audiences.
  • A measurement-oriented approach to enablement, with experience connecting readiness, skills, and behaviors to pipeline, consumption, ramp, or other business outcomes.
  • Experience using AI technologies to create, scale, measure, or deliver enablement, along with the ability to build working knowledge of data and AI concepts, Lakehouse architecture, and the Databricks platform.

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$146,100—$200,850 USDZone 2 Pay Range$131,400—$180,750 USDZone 3 Pay Range$124,200—$170,700 USDZone 4 Pay Range$116,900—$160,700 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.

Listed via Databricks · first seen 22 October 2026 · last verified 28 October 2026

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