Senior Product Manager, Data Infrastructure Platform

Angi is a global company that has been empowering the home services industry for over 30 years. The company provides a platform for homeowners to find skilled professionals and supports pros by connecting them with winnable work. Angi is looking for a Senior Product Manager to steward the product direction of their Data Infrastructure Platform.

About the Team

The Data Infrastructure team builds the foundational platform that supports all other data teams. This platform ensures access to shared data, orchestration, data ingestion, and the retirement of outdated systems. The goal is to create a self-service product for engineers, analysts, and AI agents, ensuring a single, certified source of truth that both humans and AI can trust.

The team’s strategy revolves around making this platform feel like a self-service product rather than a ticket queue. Angi is advancing toward AI agents as a standard way of building and operating systems, with every AI agent interacting with company data through this platform.

This role focuses on guiding the product direction of this platform.

What You'll Do

Product Management

• Manage governed platform access, ensuring engineers, analysts, and services have safe, auditable access to shared data, while making the safe path the easiest path.
• Streamline orchestration and scheduling by consolidating fragmented tools into a unified system that teams default to, leveraging AI-assisted tooling to accelerate job migrations with minimal manual engineering effort.
• Drive data ingestion and replication, defining what self-service ingestion looks like for teams wanting to bring their own data onto the platform.
• Oversee the retirement of legacy systems, ensuring clear ownership and a smooth transition away from outdated systems that are no longer the source of truth.
• Optimize compute cost efficiency by identifying and reducing unnecessary costs driven by habit, without compromising the developer experience.
• Advance compute strategy diversification, helping the platform transition to a storage layer compatible with multiple compute engines, ensuring each workload runs on the optimal engine.
• Build the platform’s AI-ready substrate, ensuring agentic workflows are safe by default with governed access and audit trails for both agents and people.

Execution and Individual Contribution

• Integrate AI agents into daily work, setting clear norms for engineers and peers to feel safe experimenting with agents and agentic workflows.
• Protect the team’s focus and drive rigorous outcomes without micromanaging how work gets done, focusing on results rather than tasks.
• Build trust across engineering, domain teams, and leadership through empathetic, transparent, and clear communication when addressing complex challenges.
• Collaborate closely with Data Engineering’s other delivery teams, such as Data Mesh Enablement and Managed Data Products, and with the team building Angi’s agentic workflows, toward a cohesive technical strategy.

Who You Are

Minimum Qualifications

• Five or more years of product management experience on a data or infrastructure platform team, where you directly stewarded technical roadmaps.
• Comfortable understanding system architecture and pipeline dependencies to make informed sequencing decisions with engineering teams.
• A track record of successfully completing cross-team migrations and retirements, not just planning them.
• Transparent about areas of growth and open to learning, ensuring incomplete information is addressed proactively.

Preferred Qualifications

• Experience evaluating and balancing compute costs against performance and developer experience, driving trade-offs to practical decisions.
• Working knowledge of how AI agents interact with data and tools differently from humans, and the ability to judge when a vendor’s agent layer already meets a need.
• A proactive approach to understanding new technical systems, identifying key contacts, and addressing open questions independently.