Most Loved Workplace® Certified JobSales Compensation Manager
Most Loved Workplace® Certified JobAbout the Role
At Databricks, a Most Loved Workplace® certified employer in the Technology space, Democratizing data and AI for every organization worldwide.
<p>&nbsp;</p>
<p><strong>Overview:</strong></p>
<p>The Sales Compensation Manager (L6) leads complex compensation operations workstreams that drive reliability, scalability, and risk reduction across the sales compensation function. You will own end-to-end commission administration for a large payee portfolio, ensuring flawless execution across payroll submissions, SOX compliance, exception management, and stakeholder delivery, operating at the frontier of what AI and modern tooling make possible so that automation is embedded by default, not bolted on. Operating with a 6–12 month horizon, you’ll independently scope and solve moderately complex problems, influence Directors and Sr. Directors, and raise the bar for the team through mentorship, enablement, and operational discipline with strong automation.</p>
<p><strong>The impact you will have:</strong></p>
<ul>
<li>Own end-to-end sales compensation administration for a large payee portfolio with full accountability for accuracy, timeliness, SOX compliance, and high-quality execution across participant setup, plan distribution, calculation, payment readiness, and payroll submission.</li>
<li>Lead payroll submission for one or more GEOs with 100% accuracy, timeliness, and SOX compliance, including zero-pay confirmations, audit checkpoints, and evidence completeness across controls.</li>
<li>Proactively detect anomalies and apply conservative holds to prevent overpayment; operationalise Exception Committee items with traceable implementation and reduced exception cycle time, leveraging AI-powered anomaly detection and predictive payment risk scoring to identify issues before they reach payroll.</li>
<li>Validate data across source-of-truth systems (Xactly, SFDC, HRIS, Anaplan, etc.), investigate issues such as incorrect credits, quota misalignments, and payout exceptions, and deliver actionable recommendations to leadership, deploying agentic validation workflows and LLM-based solutions to reduce manual reconciliation and improve decision quality.</li>
<li>Lead large or moderately ambiguous projects independently, balancing multiple priorities, defining clear ownership across contributors, and creating repeatable inspection mechanisms (dashboards, check-ins, trackers) that consistently deliver outcomes on time.</li>
<li>Influence business partners across Sales Ops, Rev Ops, Payroll, HR, Legal, Accounting, Finance, etc. by framing decisions in terms of field experience, risk, and audit compliance, acting as the trusted first point of contact in escalation paths.</li>
<li>Own and advance the team’s automation roadmap, driving adoption of AI across commission operations workflows, including intelligent anomaly detection, AI-assisted exception triage, automated evidence generation, and agentic validation of data across source systems, identifying where AI creates real leverage and building repeatable operating rhythms, standardized SOPs, and audit-ready documentation that improve quality, speed, and consistency while reducing execution risk.</li>
<li>Enable the team through templates, playbooks, evidence packs, and exception trackers, mentoring analysts (including offshore resources) to raise execution quality beyond individual scope.</li>
</ul>
<p><strong>What we look for:</strong></p>
<ul>
<li>10+ years of end-to-end sales compensation administration and commissions system operations, spanning payroll submissions, SOX control operations, exception modelling/recalcs, and stakeholder deliverables.</li>
<li>Advanced proficiency with Xactly (administration, configuration, reporting, troubleshooting) and Excel/Google Workspace for complex modelling, analysis, and insight generation.</li>
<li>Strong data validation skills across source-of-truth systems (SFDC, HRIS, Anaplan, etc.) with demonstrated ability to detect anomalies, perform complex commission modelling, and translate findings into clear recommendations.</li>
<li>Demonstrated program management experience across payroll and compliance/exception workflows, able to set and run cadences, produce audit evidence packs, define escalation paths, and maintain continuous audit readiness.</li>
<li>Understanding of SaaS go-to-market compensation models, including quotas, OTI, accelerators, overlays, SPIFFs, MBOs, and how plan mechanics influence seller behaviour.</li>
<li>Ability to influence cross-functional partners (Sales Ops, Rev Ops, Payroll, HR, Legal, Accounting, Finance, etc.) by proposing trade-offs, framing risk, and driving shared outcomes without direct authority.</li>
<li>Proven ability to bring structure to ambiguity, scoping complex problems, balancing speed with rigour, and delivering consistent, control-minded execution with minimal oversight.</li>
<li>Comfort prompting and evaluating LLMs as part of daily work, with a practical point of view on where AI creates real leverage in compensation operations versus where human judgment remains essential. Experience deploying AI or automation solutions, whether through vendor tooling, custom workflows, or agentic systems, to measurably improve speed, accuracy, or coverage. Partners with internal AI tooling teams to identify and deploy solutions that reduce manual work and scale the function.</li>
</ul>
<p>&nbsp;</p><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&nbsp;<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&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>,&nbsp;<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&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a>&nbsp;<span style="color: rgb(0, 0, 0);">and</span>&nbsp;<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&amp;source=gmail&amp;ust=1700237575733000&amp;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>
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Why This Is a Most Loved Workplace® Certified Job
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.
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.
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.
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.
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.
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