Databricks
Director of Product Operations
Databricks, San Francisco, California, United States, 94199
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're seeking a visionary Director of Product Operations to drive operational excellence and scale our product organization. In this pivotal role, you will be the connective tissue between product, engineering, and go-to-market teams, ensuring we deliver exceptional value to our customers through our unified data and AI platform.
Key Responsibilities:
Lead and mentor a team of product operations specialists, fostering a culture of customer obsession and data-driven decision-making.
Analyze and synthesize data from multiple sources, including customer and partner feedback, product usage, and adoption metrics.
Develop and maintain user-friendly systems, reports, and dashboards to surface key metrics and trends to stakeholders.
Partner with Product Management, Engineering, and Field teams to close the feedback loop and build a cohesive customer story.
Influence product and engineering decision-makers to deliver the best possible customer experience.
Organize the measurement of key results for annual objectives and communicate progress to department stakeholders.
Implement process improvements to optimize product operations, reducing costs and improving efficiency.
Drive operational rigor across the product lifecycle, from ideation to launch and beyond.
Oversee the product roadmap and release management processes, ensuring timely and high-quality delivery of new features.
Qualifications:
10+ years of experience in product operations, business analysis, or related roles in high-growth technology companies.
Proven track record of scaling product operations in a fast-paced, data-driven environment.
Strong analytical skills with proficiency in SQL, Python, R, or Scala.
Experience with data visualization solutions such as Tableau, Salesforce, PowerBI, or Data Studio.
Deep understanding of the data and AI landscape, including lakehouse architecture and modern analytics platforms.
Excellent communication and presentation skills, with the ability to distill complex analysis into clear messaging.
Experience leading update syncs with strong preference for Agile/Scrum/JIRA experience.
Entrepreneurial, "can-do" attitude with the ability to make an impact in a start-up environment.
Benefits:
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).
If you're passionate about operational excellence, driving innovation, and making a significant impact in the data and AI industry, we want to hear from you. Join us in our mission to simplify and democratize data and AI for organizations worldwide.
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.
Local Pay Range:
$185,000—$327,400 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.
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.
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Key Responsibilities:
Lead and mentor a team of product operations specialists, fostering a culture of customer obsession and data-driven decision-making.
Analyze and synthesize data from multiple sources, including customer and partner feedback, product usage, and adoption metrics.
Develop and maintain user-friendly systems, reports, and dashboards to surface key metrics and trends to stakeholders.
Partner with Product Management, Engineering, and Field teams to close the feedback loop and build a cohesive customer story.
Influence product and engineering decision-makers to deliver the best possible customer experience.
Organize the measurement of key results for annual objectives and communicate progress to department stakeholders.
Implement process improvements to optimize product operations, reducing costs and improving efficiency.
Drive operational rigor across the product lifecycle, from ideation to launch and beyond.
Oversee the product roadmap and release management processes, ensuring timely and high-quality delivery of new features.
Qualifications:
10+ years of experience in product operations, business analysis, or related roles in high-growth technology companies.
Proven track record of scaling product operations in a fast-paced, data-driven environment.
Strong analytical skills with proficiency in SQL, Python, R, or Scala.
Experience with data visualization solutions such as Tableau, Salesforce, PowerBI, or Data Studio.
Deep understanding of the data and AI landscape, including lakehouse architecture and modern analytics platforms.
Excellent communication and presentation skills, with the ability to distill complex analysis into clear messaging.
Experience leading update syncs with strong preference for Agile/Scrum/JIRA experience.
Entrepreneurial, "can-do" attitude with the ability to make an impact in a start-up environment.
Benefits:
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).
If you're passionate about operational excellence, driving innovation, and making a significant impact in the data and AI industry, we want to hear from you. Join us in our mission to simplify and democratize data and AI for organizations worldwide.
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.
Local Pay Range:
$185,000—$327,400 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.
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.
#J-18808-Ljbffr