Databricks: Staff Product Manager Platform Administration

MissionHelp Databricks ” Scale in the enterprise” by giving enterprise admins the tools they need to drive Databricks as a standard data and analytics platform throughout their organization.OutcomesDevelop a deep understanding of visibility and control workflows for Databricks AdministratorsWithin 90 days formulate an enterprise roadmap (data driven) to address the visibility and control needs for Administrators.

In 180 days enterprise-wide customer deployments have driven the total of active users and/or automated jobs in strategic accounts by 10xDatabricks platform becomes increasingly self-service, simple to administer and easy to scale across the customers’ organizationResponsibilitiesInbound PM for Admin personaCustomer convos, write PRDs, define success metrics, prioritize features, guide engineering and design work.Influence roadmap, positioning, and pricing for your featuresOutbound PM for Admin personaShip features (early adopter program, release planning, marketing)Work with PMMs on product/feature launches: blog posts, release notes, webinarsMeasure impact: track and report usageCollect & summarize usage data/dashboards for decision making and OKR trackingOwn cross-functional interactions for your features (across eng/marketing/field/sales)CompetenciesFull lifecycle product management.

Concept to market success.

Includes inbound, outbound, cross-functional product management.Experience with administrator, sysadmin, devops user personas.

Detailed understanding of infrastructure providers such as AWS, Azure.Data analysis and operationalization skills (SQL, rollups, building operational dashboards)Excellent written communication.

Ability to convey ideas simply and influence people.BenefitsComprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundEmployee Assistance Program (EAP)About DatabricksDatabricks is the data and AI company.

Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks simplifies data and AI so data teams can collaborate and innovate faster.

More than five thousand organizations worldwide including Shell, Conde Nast and Regeneron rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics.

Venture-backed and headquartered in San Francisco (with offices around the globe) Databricks is on a mission to help data teams solve the world’s toughest problems.

To learn more, follow Databricks on Twitter, LinkedIn and Facebook.