Staff IT Product Manager - Record To Report (RTR) and Procure To Pay (PTP)

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Mountain View, CA, USA
In-Office
159K-223K Annually
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role

GAQ425R50

At Databricks Information Technology, we are a product led organization transforming the way data is sourced, designed and used to help us scale seamlessly in face of incredible growth. We are seeking a dynamic Staff IT Product Manager for the Fintech team focusing on the Record To Report (RTR) and Procure To Pay (PTP) processes. The successful candidate will lead the design, enhancement, and support of accounting systems that power our General Ledger (GL), Procure-to-Pay (P2P), Accounts Payable (AP), Accounts Receivable (AR), including credit card process, Tax, and Treasury operations.  You will report to the VP of Fintech and work closely with our leadership and business partners. You will be a part of the CIO's organization.
The impact you will have:

  • You will develop a strong understanding of our ERP platform and other SaaS tools supporting the core business processes 
  • You will build strong relationships with our internal team and business partners
  • You will meet with our business partners and stakeholders to define and improve project scope, success criteria
  • You will drive and own the Product Roadmap for IT products in R2R and P2P processes
  • You will apply analytical skills working with business and product owners to develop requirements and user stories stemming from product roadmaps
  • You will add value to the delivery team by working with the business and product owners to create clarity around business objectives through the development of and refinement of user stories
  • You will act as the primary point of contact for Finance teams including Accounting, Tax, Treasury, and FP&A.
  • You will support compliance and audit requirements through appropriate controls and documentation.
  • You will lead full lifecycle of product delivery: discovery, requirement documentation, prioritization, testing, deployment, and support.
  • You will ensure consistency and accuracy of financial data across systems and reports.

What we look for:

  • 8+ years of experience in the financial domain, with at least 5 years in product management, financial systems, or finance transformation roles.
  • 5+ years of relevant product management experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.
  • Define and own the product roadmap for accounting systems covering GL, P2P, AP, AR, Tax, and Treasury.
  • Translate evolving business and regulatory requirements into robust product features and system capabilities.
  • Deep functional knowledge of accounting processes, including GL, P2P, AP/AR, Tax, and Treasury.
  • Hands-on experience with NetSuite and at least one other major ERP system (e.g., SAP S/4HANA)
  • Experience with SOX compliance and internal controls. 
  • Understanding of end-to-end ERP implementation and system configuration impacts.
  • Demonstrated ability to work cross-functionally and lead within Agile or hybrid delivery environments.
  • Exceptional communication and stakeholder management skills.
  • Knowledge of GAAP, IFRS, and multi-entity/multi-currency accounting.
  • Experience in SaaS or high-growth technology companies.
  • Familiarity with bank connectivity tools, treasury platforms, and payment gateways.
  • Knowledge of AI-driven automation in accounting or finance workflows.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates 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 here.


Zone 1 Pay Range
$159,000$222,525 USD

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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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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