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GAQ225R40
Location: San Francisco, CA or Mountain View, CA
At Databricks Information Technology, we are a product led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in face of incredible growth.
Databricks is seeking a dynamic Senior IT Product Manager to lead the process automation journey, focusing on the quote to revenue processes. The successful candidate will drive the analysis, design, and implementation of automation solutions to enhance operational efficiency and productivity across the organization. By minimizing manual touches and scaling organizational needs, you will play a critical role in optimizing workflows and driving continuous improvement initiatives. This position requires a deep understanding of business processes and expertise in automation technologies and tools. You will report to the VP of Fintech and work closely with our leadership and business partners.
The impact you will have:
- Operational Efficiency: You will streamline workflows, eliminate manual tasks, and optimize processes. By automating repetitive and time-consuming tasks, you enhance operational efficiency, reduce costs, and increase productivity.
- Scalability: You will influence Databricks ability to scale in the sales and revenue operations without proportional increases in resources. You will have significant impact with your ability to design and implement scalable automation solutions enabling the company to handle growing volumes of work efficiently and effectively.
- Quality and Accuracy: You will apply automation to reduce the risk of errors and improve the accuracy of processes. By implementing automated workflows, you will ensure consistency, reliability, and adherence to business rules and standards, thereby enhancing the quality data and reducing the need for manual reconciliations.
- Innovation: Process automation is a catalyst for innovation within organizations. You will apply your curiosity and creativity to identify opportunities for automation, leveraging emerging technologies, and implementing innovative solutions driving continuous improvement and fostering a culture of innovation.
What we look for:
- 5+ years of relevant product management experience in IT product management, with a focus on process automation and optimization with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.
- Experience leading successful automation initiatives preferably in the quote to revenue processes.
- Understanding of business processes with expertise in analyzing, designing, and implementing automation solutions.
- Technical acumen with hands-on experience in process automation technologies and tools, such as RPA, process mining, AI based automation tools.
- Ability to translate business requirements into technical solutions.
- Experience working with Agile/Scrum teams as a Product Owner
- Data and metrics skills to backup assumptions, recommendations and drive actions
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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
$135,600—$239,900 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.
Top Skills
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.
