Principal Product Manager - AI Data Quality

F5
Seattle
Workplace: HybridFull timeUSD 156,800 - 235,200 annuallyFunction: Product ManagementExperience: 5+ yearsSkills: ["Communication","Leadership","Problem-solving","Collaboration","Strategic thinking"]

Technical Product Manager with focus on building an AI-ready data quality platform built on Databricks Lakehouse and Unity Catalog. Own end-to-end platform capabilities from real-time anomaly detection and schema enforcement to data contracts, CI/CD integration, and governance. Collaborate with data engineering to embed dbt-based transformations and drive metadata, lineage, and data ownership as a product discipline.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
F5
F5
4 months ago

Principal Product Manager - AI Data Quality

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Technical Product Manager with focus on building an AI-ready data quality platform built on Databricks Lakehouse and Unity Catalog. Own end-to-end platform capabilities from real-time anomaly detection and schema enforcement to data contracts, CI/CD integration, and governance. Collaborate with data engineering to embed dbt-based transformations and drive metadata, lineage, and data ownership as a product discipline.
Location: Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Product Management
Seniority: Sr. Manager level

Key Responsibilities

  • •Build the AI-Ready Data Quality Platform and define native data quality capabilities inside Databricks Lakehouse.
  • •Productize policies and controls within Unity Catalog (lineage, access, schema enforcement) and embed data contracts into pipelines.
  • •Partner with data engineering to integrate dbt-based transformation layers into quality frameworks and implement CI/CD patterns for data pipelines.
  • •Drive metadata, lineage, and semantic standardization as first-class platform features and enable data observability across streaming and batch architectures.
  • •Define data ownership as a product discipline, establish a data product ownership model, and build self-service tooling for monitoring and certifying data across service domains.

Pay and Benefits

Salary: USD 156,800 - 235,200 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years in Product Management for Data Platforms, Analytics, or AI Infrastructure
  • •Deep working knowledge of Databricks Lakehouse architecture
  • •Unity Catalog governance constructs
  • •dbt transformation workflows
  • •Strong SQL fluency and comfort reading Python/Scala data pipeline code
Experience:5+ yearsAIData platformsDatabricks
Skills:CommunicationLeadershipProblem-solvingCollaborationStrategic thinking
Languages:English
Tech Stack:DatabricksUnity CatalogDbtSQLPythonScalaCI/CDKafkaSpark

Company Brief

F5
Provides application delivery networking, load balancing, and security solutions for on-premises and cloud environments, helping organizations optimize, secure, and scale applications and APIs across multi-cloud infrastructures.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Seattle, United States
Founded: 1996
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn