Senior Product Manager, Data Infrastructure - Remote

Angi; Denver (CO); Remote; USD 150,000 - 235,000; Full time

Benefits offered by this job

Competitive salary

Equity package

Full medical, dental, vision

Flexible vacation policy

401K with company match

Remote work

Job summary

Angi is seeking a Product Manager for Data Infrastructure to shape the platform that powers data access, ingestion, and AI-enabled workflows. You will partner with data engineers, analysts, and AI initiatives to align roadmap with business goals and reduce cost while improving developer experience.

The role emphasizes governance, cross-team collaboration, and a strategic approach to evolving the data platform, with a strong emphasis on self-service, reliability, and AI readiness.

Qualifications

• Five or more years of product management experience on a data or infrastructure platform team.
• Ability to read system architecture and pipeline dependencies to make sequencing calls with engineering.
• Track record of leading cross-team migrations and retirements through to done.

Responsibilities

• Manage governed platform access for engineers, analysts, and services with auditable controls.
• Streamline orchestration and scheduling across teams, using AI-assisted tooling to migrate jobs faster.
• Define self-service data ingestion and drive toward a data-onboarding pathway.
• Oversee legacy systems retirement with clear ownership handoffs.
• Balance compute costs with developer experience, reducing unnecessary spend.
• Guide compute strategy diversification to support multiple engines.
• Build AI-ready substrate with governance and audit trails for agents.

Skills

Product management

System architecture reading

Cross-team migrations

Clear communication

Job description

Angi is seeking a Product Manager for Data Infrastructure to shape the platform that powers data access, ingestion, and AI-enabled workflows. You will partner with data engineers, analysts, and AI initiatives to align roadmap with business goals and reduce cost while improving developer experience.

The role emphasizes governance, cross-team collaboration, and a strategic approach to evolving the data platform, with a strong emphasis on self-service, reliability, and AI readiness.