Senior Product Manager - Unified Data Fabric

Cloudera
San Jose
Workplace: RemoteFull timeUSD 185,000 - 231,000 annuallyFunction: Product ManagementExperience: 8+ yearsEducation: bachelorsSkills: ["Cross-functional influence","Communication & synthesis","Customer focus"]

Own the product vision, technical strategy, and roadmap for Octopai and the Unified Data Fabric, focusing on automated metadata management and data lineage. Define product standards and requirements to enable scalable integration and enterprise-grade data governance. Partner with engineering, architecture, sales, and product marketing to validate high-impact use cases, build reusable frameworks, measure adoption/performance, and serve as the domain expert for enterprise customer engagements.

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Cloudera
Cloudera
1 day ago

Senior Product Manager - Unified Data Fabric

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Last checked: 13 hours agoStatus: Live

Job Summary

Own the product vision, technical strategy, and roadmap for Octopai and the Unified Data Fabric, focusing on automated metadata management and data lineage. Define product standards and requirements to enable scalable integration and enterprise-grade data governance. Partner with engineering, architecture, sales, and product marketing to validate high-impact use cases, build reusable frameworks, measure adoption/performance, and serve as the domain expert for enterprise customer engagements.
Location: San Jose
Workplace: Remote
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Lead product strategy, platform roadmap, and lifecycle for Octopai within the Unified Data Fabric vision.
  • •Define functional requirements, architectural standards, and reusable product patterns for metadata integration, automated lineage, and data governance.
  • •Own technical product validation across high-impact enterprise use cases, ensuring scalability, security, and enterprise-grade performance.
  • •Collaborate with Engineering, Architecture, Sales, and Product Marketing to translate field insights into roadmap priorities.
  • •Define and optimize adoption and performance metrics, and close feedback loops with enterprise customers and core R&D teams.
Travel: High travel

Pay and Benefits

Salary: USD 185,000 - 231,000 annually
Perks:Remote WorkPaid LeavePhone ReimbursementWellness Stipend

Key Requirements

  • •Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent practical experience).
  • •8+ years of progressive product management experience building enterprise data platforms, data governance, or metadata management products.
  • •Deep technical knowledge of data fabric architecture, automated data lineage, metadata platforms, graph technologies, and data governance frameworks.
  • •Demonstrated success defining requirements for scalable distributed systems, enterprise APIs, and complex data integrations.
  • •Proven ability to influence and align cross-functional engineering, architecture, and go-to-market teams without direct authority.
Experience:8+ yearsEnterprise data platformsData governanceMetadata managementData fabricData lineage
Education:Bachelor's in Computer Science, Data Engineering, Information Systems, or related technical field
Skills:Cross-functional influenceCommunication & synthesisCustomer focus
Tech Stack:Automated metadata managementData lineageData governanceData fabric architectureMetadata platformsGraph technologiesEnterprise APIs

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Cloudera
Provides a hybrid data platform for managing, analyzing, and securing enterprise data across cloud and on-premises environments, enabling machine learning, analytics, and data engineering at scale.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 2008
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn