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Senior Product Manager, Data Infrastructure

🔥 0 minutes ago

🇺🇸 United States – Remote

đź’µ $150k - $235k / year

⏰ Full Time

đźź  Senior

📊 Data Scientist

đź‘» Ghost score 0%

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Logo of Angi

Angi

1001 - 5000 employees

Founded 1995

🏪 Marketplace

👥 B2C

đź’° $30M Debt Financing - Angi on 2011-10

Marketplace • B2C

Angi is a consumer-facing online marketplace that helps homeowners find, compare, and hire local professionals for home improvement, maintenance, and repair projects. The platform lists many trades and services — including plumbing, electrical, roofing, landscaping, cleaning, remodeling, and more — provides ratings and pricing guides, offers an app, and allows service professionals to register and manage their businesses. It also publishes cost guides and project research to help homeowners plan jobs.

đź“‹ Description

• 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

• 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

• 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

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