Field Enablement Manager, Emerging Business & LATAM

FEQ427R368

The Emerging Business & LATAM Field Enablement Manager builds the enablement strategy that helps Databricks win new customers, move faster in high-volume territories, and grow platform consumption across the Emerging Business and Latin America segments. Much of this field is early in their careers and sells in a high-velocity motion across large books of accounts. The role partners with Sales and Field Engineering leadership to turn segment priorities into measurable gains in seller skills, ramp time, pipeline, and consumption.

The Impact You Will Have

In the first 12–18 months, build a prioritized enablement roadmap for approximately 500 account executives and field engineers across Emerging Business and LATAM. You'll review progress and business impact in regular leadership business reviews.

Help new sellers ramp faster with repeatable onboarding and foundational skills programs covering prospecting, discovery, qualification, pipeline management, deal progression, and technical proficiency.

Raise seller productivity in a high-velocity motion by building enablement that scales: repeatable plays, self-serve content, AI role-plays, and in-deal tools that reps can use across a large number of accounts.

Grow enablement-influenced pipeline, new logo activation, and consumption by helping field teams prioritize accounts, run efficient sales cycles, and land and expand across their territories.

Improve how AEs and field engineers work together in a high-volume motion, including clear guidance on when and how to bring in technical resources to move opportunities forward.

Adapt global and AMER enablement for LATAM's markets, languages, and buyers. Partner with the Scale Motion Lead and Global Enablement to apply shared playbooks to the segment, and build a measurable feedback loop that turns recurring field needs into prioritized programs and scales what works.

What We Look For

6+ years of experience in sales enablement, revenue enablement, field enablement, sales, or technical pre-sales in the technology sector, including experience supporting both commercial and technical audiences.

Demonstrated experience enabling early-in-career sellers (for example SDRs, BDRs, or new AEs or Solution Architects) and building foundational sales skills programs that measurably change seller behavior.

Experience supporting high-velocity, high-volume sales motions, where you design for leverage, repeatability, and self-serve before live delivery.

Proven ability to build and run 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/or Field Engineering leaders and turning 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, plus the ability to build working knowledge of data and AI concepts, Lakehouse architecture, and the Databricks platform.

Nice to Have

Proficiency in Spanish and/or Portuguese.

Experience supporting LATAM or other multi-country, multi-language field teams.

Experience enabling emerging, startup, digital native, or commercial segments, ideally in a consumption-based sales model.

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.BenefitsAt 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.