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Angi

Senior Product Manager, Data Infrastructure

Angi

. Manage governed platform access for engineers, analysts, and services .

Posted 10/2/2026full-timeRemote • United StatesSenior💰 $150,000 - $235,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management for data and infrastructure platforms, with a focus on optimizing compute cost efficiency and advancing AI-ready platform capabilities. Proven ability to manage technical roadmaps, collaborate across teams, and drive data ingestion and replication.

Highest-signal resume keywords
Product Management ExperienceTechnical Roadmap StewardshipCross-Team MigrationsAI-Ready Platform DevelopmentCompute Cost Optimization

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Platform ManagementSystem Architecture AnalysisPipeline Dependency ManagementJob MigrationLegacy System Retirement
Soft Skills
CollaborationTrust BuildingTransparencyProactive Learning
Tools & Technologies
AI-Assisted ToolingScheduling ToolsData Mesh EnablementManaged Data Products
Industry Keywords
Compute Strategy DiversificationGoverned AccessAudit TrailsAgentic Workflows

About the role

Key responsibilities & impact
  • Manage governed platform access for engineers, analysts, and services
  • Streamline orchestration and scheduling by consolidating fragmented scheduling tools
  • Use AI-assisted tooling to migrate jobs with less manual engineering effort
  • Drive data ingestion and replication through self-service platform capabilities
  • Oversee retirement of legacy systems and hand off ownership clearly
  • Optimize compute cost efficiency without reducing developer experience
  • Advance compute strategy diversification across storage and compute engines
  • Build an AI-ready platform substrate with governed access and audit trails
  • Use AI agents in daily work and establish norms for agentic workflows
  • Protect team focus and steward outcomes rather than tasks
  • Build trust across engineering, domain teams, and leadership
  • Collaborate with Data Mesh Enablement, Managed Data Products, and agentic workflow teams on an overall technical strategy

Requirements

What you’ll need
  • Five or more years of product management experience on a data or infrastructure platform team
  • Direct experience stewarding technical roadmaps
  • Comfortable reading system architecture and pipeline dependencies to make sequencing decisions with engineering
  • Record of completing cross-team migrations and retirements
  • Transparent about areas of growth and open to learning
  • Preferred: experience weighing compute cost against performance and developer experience
  • Preferred: working knowledge of how AI agents consume data and tools differently from people
  • Preferred: judgment on when a vendor's own agent layer covers a need
  • Preferred: proactive approach to understanding new technical systems, key contacts, and open questions independently
  • Legally authorized to work in the United States

Benefits

Comp & perks
  • Competitive year end performance bonus
  • Equity package
  • Full medical, dental, and vision package
  • Flexible vacation policy
  • Pet discount plans
  • Retirement plan with company match (401K)
  • Opportunity to work with sharp, motivated teammates on unique challenges