Senior Product Manager – Hybrid Cloud Data Platform

Cloudera

Austin (TX)

On-site

USD 185,000 - 231,000

Full time

7 days ago
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Benefits offered by this job

Generous PTO
Unplugged Days
Flexible WFH
Wellness programs
Phone reimbursement
Career development
Comprehensive benefits
Volunteer time
Employee Resource Groups

Job summary

Cloudera is seeking a Senior Product Manager for Cloudera Manager to own strategy and roadmap for a key lifecycle-management tool used by global enterprises. You will partner with Engineering, PMO, Product Marketing, and Field teams to deliver a market-leading hybrid-cloud experience.

You will guide product strategy to deliver enterprise-grade capabilities with simplified UX, scaling operations for large clusters and ensuring API stability for smooth upgrades across on-prem and cloud

Qualifications

  • 5+ years in enterprise software with at least 2 years in product management.
  • Experience with on-premise virtualization, data centers, and Linux.
  • Familiarity with hybrid cloud architectures.
  • Ability to simplify complex data platforms for IT generalists.

Responsibilities

  • Drive intelligent product experiences with guardrails and AI insights.
  • Design workflows for IT generalists with minimal data expertise.
  • Lead hybrid architecture modernization across clouds.
  • Optimize core cluster lifecycle operations at scale.
  • Define release lifecycle policies for API stability.
  • Track KPIs to improve velocity and reduce support escalations.

Skills

Enterprise Platform Experience
Cloud & Hybrid Cloud
UX Simplification
Strategic Product Leadership
Open Data Lakes Knowledge

Job description

Cloudera is seeking a Senior Product Manager for Cloudera Manager to own strategy and roadmap for a key lifecycle-management tool used by global enterprises. You will partner with Engineering, PMO, Product Marketing, and Field teams to deliver a market-leading hybrid-cloud experience.

You will guide product strategy to deliver enterprise-grade capabilities with simplified UX, scaling operations for large clusters and ensuring API stability for smooth upgrades across on-prem and cloud

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