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Manager, Billing

Databricks

Manager, Billing

Databricks

Bengaluru, India

·

On-site

·

Full-time

·

1w ago

Required Skills

SaaS billing

Accounts receivable

Team leadership

Financial operations

Process optimization

GAQ227R121

We are seeking a dedicated Billing Manager to lead our billing team and focus on resolving billing and collection issues efficiently while maintaining a strong customer-centric approach. This role is pivotal in ensuring a seamless billing experience for our customers and contributing to the continuous improvement of accounts receivable processes. The ideal candidate will possess deep expertise in billing functions, excel in communication, and demonstrate strong organizational skills. They should be proactive, efficient, and capable of leading and scaling a growing team in a fast-paced, ever-changing environment.

The impact you will have:

  • Lead, develop, and manage a team of Billing Analysts, including hiring, coaching, performance management, and scaling team capability.

  • Oversee accurate and timely processing of all customer billings, including recurring subscriptions, usage-based charges, professional services, and one-time fees.

  • Ensure invoices are complete, compliant, and delivered within defined SLAs and contractual timelines.

  • Manage and resolve complex and escalated billing inquiries through the Salesforce billing queue, partnering cross-functionally to drive timely resolution.

  • Investigate and resolve customer billing disputes, escalating appropriately while maintaining a strong customer experience.

  • Develop and monitor team performance metrics, reporting against key objectives and service levels.

  • Drive process optimization and automation initiatives across ERP, Salesforce integrations, internal billing/rating systems, and CRM platforms.

  • Identify process improvement opportunities and provide strategic recommendations to leadership.

  • Perform critical month-end close activities, including A/R roll-forwards and account reconciliations, and support quarter-end audit requirements.

  • Manage customer and vendor portals, including invoice uploads against purchase orders and ongoing updates.

  • Submit and process credit requests and billing adjustments, ensuring accurate updates to A/R records.

  • Maintain comprehensive documentation of billing and A/R processes, controls, and policies.

What we look for:

  • Bachelor’s degree in Accounting, Finance, Business Administration, or related field required; professional certifications (e.g., CPA, CA, ACCA) are a plus.

  • 12+ years of progressive experience in SaaS billing, accounts receivable, or financial operations, including 4+ years leading and developing high-performing teams.

  • Deep understanding of usage-based and subscription billing models, global billing best practices, compliance standards, and revenue processes within a large organization.

  • Proven experience managing complex billing escalations, supporting month-end and quarter-end close (including reconciliations and A/R roll-forwards), and ensuring audit readiness under tight deadlines.

  • Strong systems expertise, including global ERPs (e.g., Net Suite, SAP), Salesforce, payment platforms, spreadsheet-based data analysis, and ticketing queue management; SQL proficiency for reporting is a plus.

  • Experience working with vendor and customer portals (e.g., Ariba, Coupa) and PO-backed invoicing environments.

  • Demonstrated ability to collaborate cross-functionally (Sales, Deal Desk, IT, Engineering), drive process improvements, adapt to evolving priorities, and communicate complex billing concepts clearly and effectively.

  • Strong analytical skills with exceptional attention to detail and the ability to interpret large datasets accurately.

  • Ability to operate effectively in a fast-paced, evolving environment and drive change where needed.

  • Excellent communication skills with the ability to translate technical billing concepts for cross-functional stakeholders.

About Databricks

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 Twitter, LinkedIn and Facebook.

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, please visit https://www.mybenefitsnow.com/databricks.

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.

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About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

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Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Director

Mid/L4 · Global Mobility Operations Manager

2 reports

$149,582

total / year

Base

$130,071

Stock

-

Bonus

-

$144,210

$154,953

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge