angi - Senior Product Manager, Data Infrastructure

Remote - Denver, Colorado, United States$150k - $235k+ Equity4w ago

Remote Senior NA Senior Product Manager Team Leadership Close

Requirements

• Five or more years of product management experience on a data or infrastructure platform team, where you stewarded technical roadmaps directly. • Comfortable reading system architecture and pipeline dependencies well enough to make real sequencing calls with engineering. • A record of taking cross-team migrations and retirements all the way to done, not just to a plan. • Transparent about areas of growth and open to learning, rather than presenting incomplete information as fully resolved under pressure. • Experience weighing compute cost against performance and developer experience, and driving that tradeoff to a decision rather than just planning around it. • Working knowledge of how AI agents consume data and tools differently from people, and judgment on when a vendor's own agent layer already covers a need. • A proactive approach to navigating and understanding new technical systems, key contacts, and open questions independently.

Responsibilities

• Product Management • Manage governed platform access - give engineers, analysts, and services safe, auditable access to shared data, and make the safe path the easy path. • Streamline orchestration and scheduling - bring fragmented scheduling tools together into one system every team reaches for by default, and use AI-assisted tooling to migrate jobs faster, with less manual engineering effort. • Drive data ingestion and replication - define what self-service ingestion looks like for teams who want to bring their own data onto the platform, and build toward that. • Oversee legacy system retirement - close out systems that are no longer the source of truth, with clear ownership handed off at every step. • Optimize compute cost efficiency - find where cost comes from habit rather than real need, and bring it down without anyone losing the developer experience they rely on. • Advance compute strategy diversification - help move the platform toward a storage layer that works with more than one compute engine, so each workload runs on the engine built for it. • Build the platform's AI-ready substrate - make agentic workflows safe by default, with the same governed access and audit trail for an agent as for a person. • Execution and Individual Contribution • Use AI agents in your own daily work, set clear norms so the engineers and peers around you feel safe experimenting with agents and agentic workflows. • Protect the team's focus and drive real rigor without micromanaging how the work gets done. Steward outcomes, not tasks. • Build trust across engineering, domain teams, and leadership through empathetic, transparent, and clear communication when addressing complex challenges. • Work closely with Data Engineering's other delivery teams - Data Mesh Enablement and Managed Data Products - and with the team building Angi's agentic workflows, toward one overall technical strategy.

Benefits

• The base salary band for this position ranges from $150,000 - $235,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location. • This position will be eligible for a competitive year end performance bonus & equity package. • Full medical, dental, vision package to fit your needs. • Flexible vacation policy; work hard and take time when you need it. • Pet discount plans & retirement plan with company match (401K). • The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world. • We value diversity • We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. • Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.