---
title: 'Sales Compensation Manager at Databricks'
canonical: 'https://feeny.ai/job/sales-compensation-manager-databricks-bengaluru-ae38fhejt70h'
type: 'job'
last_seen: '2026-09-12'
---

# Sales Compensation Manager at Databricks

- **Company:** Databricks
- **Location:** Bengaluru, India
- **Posted:** 2026-06-30
- **Last confirmed live:** 2026-09-12
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8604610002

## Job description

Overview:

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.

The impact you will have:

- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Enable the team through templates, playbooks, evidence packs, and exception trackers, mentoring analysts (including offshore resources) to raise execution quality beyond individual scope.

What we look for:

- 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.
- Advanced proficiency with Xactly (administration, configuration, reporting, troubleshooting) and Excel/Google Workspace for complex modelling, analysis, and insight generation.
- 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.
- 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.
- Understanding of SaaS go-to-market compensation models, including quotas, OTI, accelerators, overlays, SPIFFs, MBOs, and how plan mechanics influence seller behaviour.
- 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.
- Proven ability to bring structure to ambiguity, scoping complex problems, balancing speed with rigour, and delivering consistent, control-minded execution with minimal oversight.
- 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.
- The role requires maintaining a consistent 3–4 hour overlap with U.S. Pacific Time (PST) during your workday.

## 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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

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