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Scale Sales Enablement Lead

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92% of candidates apply because they are a Most Loved Workplace®
United States
Field Engineering - Enablement

About the Role

At Databricks, a Most Loved Workplace® certified employer in the Technology space, Democratizing data and AI for every organization worldwide.

<p data-pm-slice="1 1 []">SLSQ227R675</p>

<p data-renderer-start-pos="1648">While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.</p>

<p>Databricks is scaling fast across the Americas, and how we sell at scale is a growing advantage. This role owns sales enablement for the Scale motion in AMER, focused on the America’s Emerging Enterprise Business (AEEB) segment, where the win comes from coverage and repeatability across hundreds of Account Executives rather than deep support of a few named accounts. You will build the Scale playbook: the programs, plays, and tooling that make every AE in the motion able to qualify, position, and advance Databricks in high-velocity, high-volume selling. You are the Scale counterpart to the Depth sales enablement lead (a peer role at the same level), and together you render the team's horizontal plays into the two motions the field actually runs.</p>

<p>You will own the enablement relationship with AEEB sales leadership, translate their priorities into a prioritized enablement roadmap, and report field readiness and impact into their business reviews. This is a senior individual-contributor role: you will lead through the plays you build, the programs you ship, and the influence you carry with senior stakeholders, not through direct reports.</p>

<h3>What You'll Do</h3>

<ul>

<li>Own the AMER Scale-motion sales enablement strategy for AEEB, from foundational onboarding through advanced selling motions, built for coverage across the full AE population, not one account at a time.</li>

<li>Build the Scale playbook using the Global Bill of Materials (BOM): take global enablement content and render it into the Scale motion, adapting for AEEB's velocity, buyer, and competitive landscape. Work with Global Sales Enablement to close BOM gaps.</li>

<li>Render horizontal plays into a Scale version: partner with the BU+1 enablement team, which owns the play spec and the horizontal thesis, and build the Scale rendering that lands the play across the motion.</li>

<li>Ship scale programs and tooling that any AMER account in the motion can use: repeatable plays, self-serve content, AI role-plays, and programmatic onboarding, with a bias toward assets an AE can use in a live deal immediately.</li>

</ul>

<ul>

<li>Own the AEEB sales leadership relationship: partner directly with the AEEB SVP and their leaders to align enablement priorities to segment strategy, surface gaps, and report field readiness and pipeline impact in monthly and quarterly business reviews.</li>

<li>Drive consumption and pipeline outcomes by motion: connect enablement to enablement-influenced pipeline and pipe-gen attainment, not activity or completion.</li>

<li>Triage global and cross-functional requests so the field is not drowned, prioritizing what moves the motion and routing the rest.</li>

<li>Establish a two-way feedback loop with Global: capture what is breaking in the field and what is outperforming, channel friction back as recommendations and wins forward as proposals for new global programs, so Scale wins become the standard, not one-off local successes.</li>

<li>Coordinate cross-pillar with Customer, Partner, and FE enablement peers, and with the Depth enablement lead, so Scale programs are integrated into the broader AEEB enablement motion, and resolve prioritization or scope conflicts through the team's Play Council.</li>

<li>Define and track KPIs that measure the motion: coverage and reach across the AE population, enablement-influenced pipeline, consumption and pipe-gen attainment by motion, and ramp time for new AEs.</li>

<li>Stay close to the field: spend time in live deals and coaching moments so what you build is sharpened against how the motion actually sells.</li>

</ul>

<h3>What We Look For</h3>

<ul>

<li>10+ years in sales enablement, revenue enablement, or a sales-facing role (sales, sales leadership, or GTM programs), with a track record of enabling teams at scale.</li>

<li>Demonstrated ability to build successful enablement for a field of hundreds: you think about leverage, repeatability, and self-serve before you think about live delivery.</li>

<li>Experience building sales plays, playbooks, and programs from a global content base and rendering them for a specific segment or motion, not just forwarding decks.</li>

<li>Strong senior-stakeholder management: Experience partnering with SVPs and their leadership team as a trusted advisor, translating segment strategy into enablement priorities, and hold your own in a business review.</li>

<li>A measurement mindset: you tie enablement to pipeline and consumption outcomes and can show impact, not just completion rates.</li>

<li>Builder mentality: you default to building programs, tools, and automations, and use AI as a daily force multiplier to produce enablement assets faster.</li>

<li>Excellent communication and influence skills: you drive alignment across peers and leaders without direct authority.</li>

<li>Familiarity with high-velocity and volume sales motions, and comfort operating in a matrixed enablement organization.</li>

</ul>

<h3>Nice to Have</h3>

<ul>

<li>Experience enabling a scale, commercial, or emerging-business segment (versus enterprise or named-account depth).</li>

<li>Familiarity with the data and AI market and how technical products are sold.</li>

<li>Experience with partner-motion or channel enablement.</li>

<li>Prior experience in a regional or segment-aligned enablement role within a matrixed organization.</li>

<li>Experience using AI tools to productize enablement content at scale.</li>

</ul>

<p data-renderer-start-pos="1800"><br><br></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p> </p>

<p><strong>Pay Range Transparency</strong></p>

<p><span style="font-weight: 400; font-size: 14px;">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 <a href="https://www.Databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>

<p> </p></div><div class="title">Zone 1 Pay Range</div><div class="pay-range"><span>$182,400</span><span class="divider">—</span><span>$250,800 USD</span></div></div><div class="pay-input"><div class="title">Zone 2 Pay Range</div><div class="pay-range"><span>$164,200</span><span class="divider">—</span><span>$225,700 USD</span></div></div><div class="pay-input"><div class="title">Zone 3 Pay Range</div><div class="pay-range"><span>$155,000</span><span class="divider">—</span><span>$213,200 USD</span></div></div><div class="pay-input"><div class="title">Zone 4 Pay Range</div><div class="pay-range"><span>$145,900</span><span class="divider">—</span><span>$200,650 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>

<p><span style="font-family: arial, sans-serif;">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 <a href="https://www.linkedin.com/company/Databricks">LinkedIn</a>, <a href="https://x.com/Databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>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 <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>

<p><strong>Our Commitment to Diversity and Inclusion</strong></p>

<p>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.</p>

<p><strong>Compliance</strong></p>

<p><strong><span style="font-weight: 400;">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.</span></strong></p>

<p><a href="https://www.Databricks.com/legal/applicant-privacy-notice" target="_blank"><strong><span style="font-weight: 400;">Applicant Privacy Notice</span></strong></a></p></div>

Want to learn more about what it's like to work at Databricks? View our full profile.

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Why This Is a Most Loved Workplace® Certified Job

S

Systemic Collaboration

As Databricks continues our rapid growth, we strive to maintain a culture as open and transparent as it was in Databricks’s early days. Making sure employees have regular access to our CEO and co-founders to hear directly about our vision and priorities helps our employees forge a connection between Databricks priorities and their daily work.

P

Positive Vision for the Future

Databricks’ culture principles are derived from an internal study of the behaviors that have led to high impact work at Databricks. These values have a direct impact on company culture and play a large part in connecting teams across the organization. We believe in being customer-obsessed, truth-seeking, operating from first principles, having a bias for action, and putting Databricks first. Our co-founders are fully involved in day-to-day operations, including business and technical reviews, working alongside our team members to ensure that we are always aligned with our values.

A

Alignment of Values

Databricks’ CEO and Co-founder, Ali Ghodsi leads by example with a focus on truth-seeking and first principles thinking, two of Databricks’ core values that stay true to Databricks’s origins in academia. He champions the importance of data and reason to question biases and inform decisions. Ali remains hands-on with research and development and hosts company-wide weekly all hands, with a CEO “ask me anytime” session at the beginning of every agenda. His transparency and accessibility are core to the open and collaborative culture of Databricks.

R

Respect

At Databricks, we cultivate an environment where all employees can bring their unique selves and are empowered to do the best work of their careers. To ensure all voices are heard and ideas are valued, we conduct annual culture and pulse surveys and host all-hands Q&As to collect feedback from all employees. We then report back to Databricks on the specific changes implemented from the feedback collected to ensure employees feel heard and that their feedback is valued. In addition, we invest in our seven Employee Resource Groups (ERGs) that offer support and employee engagement events for individuals from underrepresented backgrounds and allies.

K

Killer Outcomes

Databricks prioritizes offering an exceptional employee experience by investing in tools, workspaces, and community-building. Our collaboration-first, hybrid model offers flexibility with in-person touchpoints like our annual employee kickoff, weekly CEO all-hands with happy hours, and monthly team building budgets. We are especially focused on maintaining a culture of transparency, honesty, and trust, with leaders actively engaging across channels like Slack and all hands while also championing inclusion efforts through ERG sponsorship. These initiatives help our team feel connected, valued, and empowered to do their best work.

What It's Like to Work Here

zap Bias for Action
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users Collaborative Excellence
target Truth-Seeking Rigor
compass Generational Mission Focus
Certified for: Global Top 100 Most Loved Workplaces®, Certified Most Loved Workplaces® 2025, Top 100 Most Loved Workplaces® 2025

Frequently Asked Questions About Working at Databricks

Common questions candidates ask about this role and Databricks's workplace

With the Data Intelligence Platform, Databricks democratizes insights to everyone in an organization. Built on an open lakehouse architecture, the Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization’s unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products. With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of the lakehouse architecture and open source projects Apache Spark™, Delta Lake, MLflow and Unity Catalog.

Please review the specific job listing or contact Databricks's recruiting team for details on remote or hybrid work options for this role.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Databricks is an established organization in its industry. The company is a certified Most Loved Workplace®, highlighting a strong, positive culture and committed workforce.

Key benefit categories include: Health & Wellness, Work-Life Balance, Office & Lifestyle, Professional Development, Financial. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Bias for Action and First Principles Innovation and Collaborative Excellence.

The company has committed to inclusive practices including: Customer Obsession with Integrity and Empowering Every Team Member.

They score particularly well in the area of Systemic Collaboration. They have earned Most Loved Workplace® certifications including: Global Top 100 Most Loved Workplaces® and Certified Most Loved Workplaces® 2025.

Databricks currently has 824 open positions. They are hiring across departments like Field Engineering - Other, Delivery Solutions Architects, Enterprise Sales. You can view all current openings at certcheck.mostlovedworkplace.com/companies/databricks/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Databricks's recruiting team for specific details on this role's process.

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