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Head of ISV, AMER Industries

MLW LogoMost Loved Workplace® Certified Job
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United States
Business Development

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 []"><span data-sheets-root="1">SLSQ426R477</span></p>

<p>We are looking for a highly skilled, strategic, and tenacious AMER ISV Leader with strong vision and unparalleled execution.  </p>

<p>You will design, develop, and execute the ISV GTM strategy and programs. You have driven scale and multiplier effects. You will define priorities, drive activity, work closely with the leadership team, and roll up your sleeves to execute. You will drive competitive advantage to ISVs, accelerate Databricks’ growth, and unlock business impact to joint customers. </p>

<p><strong>The impact you will have</strong></p>

<ul>

<li><strong>GTM Strategy & Execution</strong>: Develop and execute AMER GTM strategy, implementing innovative strategies that expand our market presence. </li>

<li><strong>Sales Programs: </strong>Launch sales plays and programs within Databricks, ISVs, and our shared ecosystem with an industry-first lens. Launch programs, sales plays, partner power plays (with Cloud, SIs, and other ISVs).   </li>

<li><strong>Demand Generation </strong>- Work with Sales Dev, Demand Gen, and Marketing to launch outbound and inbound campaigns to spread awareness and create pipeline creation  </li>

<li><strong>Operational Excellence:</strong> Create and drive operational rigor for cadence, reporting, KPIs, escalation process, stakeholder updates, and QBRs.</li>

<li><strong>Market Research:</strong> Conduct research, including customer discussions and aggregated customer feedback, to identify trends, customer needs, and competitive landscape to inform solution development and strategy.  Provide data-driven insights on trends and represent voice of the partner and customer</li>

<li><strong>Sales Enablement: </strong>Collaborate with enablement, sales, and solution engineering to drive ISV-related sales motions, including training, messaging, and co-selling efforts.</li>

<li><strong>Deal Support: </strong>Anticipate (and proactively solve) channel conflict, support deal creation through close, drive account field engagement with BU leaders and strategic priority accounts.</li>

<li><strong>One-Team:</strong>  Develop an environment for winning and success to further nurture a ‘one team’ collaborative culture</li>

</ul>

<p><strong>Examples of responsibilities</strong></p>

<ul>

<li><strong>Set a winning Strategy</strong>: Understand and align the right ISVs to Sales priorities, company priorities, and critical industry imperatives  </li>

<li><strong>Drive Partner Success:</strong> Work with ISV Partner C-suite, Alliance, and Sales teams to build and execute on GTM plans in the region. Facilitate Regional QBRs with important partners. </li>

<li><strong>Build for Scale:</strong> Work with Sales Programs to embed ISV Partners into core motions and priorities. </li>

<li><strong>Activate and enable the field:</strong> Scope, create and deliver enablement on how best to work with ISVs and which ISVs to work with for certain industry imperatives and company priorities. Lead Sales workshops between partners and Databricks to unlock new use cases and progress said pipeline</li>

<li><strong>Represent the business:</strong> Have the depth to handle discussions on Delta Sharing partners, Connected partners, and Built Ons with customers and partners. </li>

<li><strong>Make our ISV Program a competitive differentiator:</strong> Engage top data and AI leadership, industry leadership, and the C-suite to build mindshare with top ISVs and build a program that is just as much a competitive differentiator for partners as our product.</li>

<li><strong>Triangulate and drive ecosystem success:</strong> Drive Partner Power Play, aligning the right ISVs to the right SIs. Define repeatable use cases and work with the industry team and partners to build Brickbuilder Solutions</li>

<li><strong>Measure, Iterate, and Improve:</strong> Identify cross-functional gaps and work to bring teams together to solve them. Identify gaps in our ecosystem portfolio and assist in recruiting the appropriate partners. Drives efficiencies and productivity across their region, guiding on accurate activity tracking from a depth of experience</li>

<li><strong>Collaborate Cross Functionally: </strong>Interlock and build effective relationships with Sales teams, Business Development, Product, Engineering, Pre-sales, Post-sales, Marketing, Partners, and other partners in the ecosystem </li>

</ul>

<p><strong>What we look for:</strong></p>

<p>Experience:</p>

<ul>

<li>20+ years experience selling Software, SaaS, and Cloud Sales  </li>

<li>10+ years experience architecting and defining strategy for ISV at scale</li>

<li>Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) </li>

<li>Degree in business, economics, engineering, finance, science, or math preferred</li>

<li>Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Product, Engineering, Marketing)</li>

</ul>

<p>Skills:</p>

<ul>

<li>Outstanding communication skills (verbal, written, and presentation) for both technical and executive audiences  </li>

<li>Technically Knowledgeable in the open source software, big data, IoT, and/or cloud computing space. </li>

<li>Ability to translate technical concepts into business value, interacting with both business executives and technical audiences (data scientists and engineers). </li>

<li>In-depth understanding of alliance/partner organizations, key stakeholder management, joint value proposition development, and delivering field enablement programs.</li>

<li>Possess the aptitude to learn quickly and establish credibility.</li>

<li>Proactive, entrepreneurial spirit and tenacious team player </li>

</ul><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>$172,200</span><span class="divider">—</span><span>$236,775 USD</span></div></div><div class="pay-input"><div class="title">Zone 2 Pay Range</div><div class="pay-range"><span>$172,200</span><span class="divider">—</span><span>$236,700 USD</span></div></div><div class="pay-input"><div class="title">Zone 3 Pay Range</div><div class="pay-range"><span>$172,200</span><span class="divider">—</span><span>$236,700 USD</span></div></div><div class="pay-input"><div class="title">Zone 4 Pay Range</div><div class="pay-range"><span>$172,200</span><span class="divider">—</span><span>$236,700 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 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 <span style="color: rgb(255, 54, 33);"><a style="color: rgb(255, 54, 33);" href="https://twitter.com/Databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/Databricks&source=gmail&ust=1700237575733000&usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>, <a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/Databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/Databricks&source=gmail&ust=1700237575733000&usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a> <span style="color: rgb(0, 0, 0);">and</span> <a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksinc" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.facebook.com/databricksinc&source=gmail&ust=1700237575733000&usg=AOvVaw39EcncitnlqV72EG2-RqXJ">Facebook</a></span>.<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></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
lightbulb First Principles Innovation
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 789 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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