P-994

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform so our customers can focus on the high-value challenges that are central to their own missions.

Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA, to a global organization with over 2,400 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.

As a Product Operations Lead, you will be part of the Product and Engineering organization and in charge of with driving multiple Product Lines for Databricks. 

You will be an essential link between customer-facing operations teams and the product and engineering team, building features used by thousands of customers. 

This role will partner with the Product Management, Engineering, Field teams to start. You’ll help close the feedback loop by analyzing contact drivers, and collaborating with various stakeholders to build a cohesive customer story illustrating the biggest areas for opportunities. This job is fast-paced, cross-functional, and requires strong communication, prioritization, and organization skills. It involves a deep understanding of stakeholder management, and  the ability to navigate an environment with passionate people intent on delivering valuable products. Applied experience with analytics and reporting is a must.

• Analyze and synthesize data from multiple sources, including customer and partner feedback, product usage and adoption
• Develop and maintain user-friendly systems, reports, dashboards, etc., and surface key metrics and trends to stakeholders, leveraging your expertise to call attention to the most important problems and themes
• Partner with cross-functional operations teams to consult, develop and implement metrics, automated reporting/process solutions, and process improvements to meet business needs.
• Influence product and engineering decision-makers to deliver the best possible customer experience, using both data and qualitative analysis to inform your perspective
• Organize the measurement of key results for annual objectives. Communicate status on objective progress to department stakeholders
• Be self-driven, and show ability to deliver on ambiguous projects with incomplete data
• Implement process improvements: identify operational gaps and implement them to optimize product operations processes, reducing costs and improving efficiency
• Be a team player: Evangelize and uphold our cultural principles: be customer obsessed, be data-driven, team work makes the dream work, and own it.

• 6+ years of experience in a business analyst or data analyst role. Experience using SQL and Microsoft Excel.
• Experience building Data pipelines using SQL, Python, R, or Scala
• Experience with data visualization solutions, such as Tableau, Salesforce, PowerBI, and/or Data Studio
• Comfortable communicating with Databricks executives and department leadership. Capable of distilling complex analysis and modeling efforts into clear messaging
• Experience in the enterprise software industry, SaaS and B2B experience preferred
• Experience working with customer-facing support systems such as in-app help centers, customer case & form submission flows, and zero-contact resolution/self-help features 
• Listen well in order to drive stakeholder alignment to help reach the necessary decisions
• Excellent communication/presentation skills
• Experience leading update syncs (strong preference for Agile/Scrum/JIRA experience)
• You understand the benefits of moving quickly while paying attention to detail
• Entrepreneurial, "can do" attitude - ability and willingness to make an impact in a start-up

Most of all, we look for relentless problem solvers and will consider candidates with non-traditional backgrounds.

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)

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.

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.BenefitsAt 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.