Role at a glance
- Salary
- Not Disclosed
- Location
- Costa Rica
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 6+ years of experience in a business analyst or data analyst role.
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Product Operations Manager joins the Product and Engineering organization to drive operational excellence across multiple Databricks product lines. The role connects customer-facing field teams with Product Management and Engineering by turning customer feedback, product telemetry, and operational friction points into actionable insights for product decisions.
What You'll Do
- Analyze and synthesize customer and partner feedback and product usage metrics to identify customer pain points.
- Design and maintain reports and dashboards that surface key metrics and trends.
- Influence product and engineering decision-makers using data and qualitative analysis.
- Develop key metrics, build automated reporting, and implement process improvements with cross-functional operations teams.
- Organize and monitor key results across product lines and communicate progress and blockers to department stakeholders.
- Facilitate stakeholder syncs and cross-departmental alignment to build consensus on product decisions.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience using SQL and Microsoft Excel; experience building data pipelines using SQL, Python, R, or Scala; experience building dashboards and data visualizations; ability to communicate complex analysis and modeling efforts clearly; excellent communication/presentation skills; ability to deliver on ambiguous projects with incomplete data; stakeholder management and alignment skills.
Required
- Experience using SQL and Microsoft Excel
- Experience building data pipelines using SQL, Python, R, or Scala
- Experience building dashboards and data visualizations
- Experience leading update syncs
- Excellent communication/presentation skills
Preferred
- Experience in the enterprise software industry, SaaS and B2B experience preferred
- Strong preference for Agile/Scrum/JIRA experience
- Experience working with customer-facing support systems such as in-app help centers, customer case & form submission flows, and...
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-1587
As a Product Operations Manager, you will join the Product and Engineering organization to drive operational excellence across multiple Databricks product lines. You will serve as an essential bridge between customer-facing field teams and the product and engineering teams building features used by thousands of customers.
In this role, you will partner with Product Management, Engineering, and Field teams. By analyzing contact drivers, product telemetry, and operational friction points, you will build actionable customer narratives that highlight our high-impact opportunities.
This is a fast-paced, highly cross-functional role that requires strong communication, efficient prioritization and organization,. and deep expertise in stakeholder management. of stakeholder management. Applied experience with analytics and reporting is a must.
Responsibilities:
- Analyze and synthesize data from multiple sources, including customer and partner feedback and product usage metrics, to build cohesive stories around customer pain points
- Design and maintain user-friendly reports and dashboards to surface key metrics and trends to stakeholders
- Influence product and engineering decision-makers to deliver the best possible customer experience, using both data and qualitative analysis to inform your perspective
- Partner with cross-functional operations teams to develop key metrics, build automated reporting, and implement process improvements
- Organize and monitor key results across product lines, communicating progress and blockers regularly to department stakeholders
- Show ability to deliver on ambiguous projects with incomplete data
- Facilitate stakeholder syncs and cross-departmental alignment to build consensus on critical product decisions.
- Champion Databricks principles: : be customer obsessed, be data-driven, team work makes the dream work, and own it.
Competencies / Requirements
- 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 building dashboards and data visualizations, using tools 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
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, X, YouTube, and Instagram.
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.
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 the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.