Jobs at Angi

Positions 19,197

Angi (formerly Angie's List) operates a nationwide home‑services marketplace that matches homeowners with vetted contractors. The company leverages data science and AI to power a mobile‑first platform that delivers instant quotes, scheduling, and payment solutions.

Angi hires across the tech stack: backend engineers building scalable microservices, frontend engineers crafting responsive web experiences, mobile developers for iOS and Android, data scientists analyzing usage and pricing models, product managers driving feature roadmaps, and UX designers ensuring intuitive workflows. Candidates can expect flexible work arrangements, a collaborative culture that values rapid experimentation, and benefits that include equity, health plans, and professional development budgets.

Checking Angi’s listings on Job Transparency gives you the edge of knowing exact salary ranges, employee satisfaction scores, and hiring trends. With this data you can negotiate confidently, target roles that match your compensation expectations, and gauge how the company’s culture aligns with your career goals.

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Frequently Asked Questions

What is it like to work at Angi?
Angi emphasizes a customer‑first mindset and a data‑driven decision process. Employees report a fast‑paced environment that rewards experimentation and cross‑functional collaboration. Remote work is supported, and teams are organized into small squads that own complete product lifecycles, from ideation to launch.
What types of positions are available at Angi?
The company posts roles in software engineering (backend, frontend, mobile), data science, product management, UX/UI design, DevOps & infrastructure, quality assurance, and security. Each position requires a mix of technical expertise and a passion for solving real‑world problems for homeowners.
How can I stand out as an applicant for Angi?
Showcase measurable impact: include code samples, open‑source contributions, or project metrics that demonstrate performance improvements. Highlight experience with scalable cloud services (AWS/GCP), data pipelines, or AI/ML if applying for relevant roles. In interviews, articulate how you would use data to optimize the customer journey and share specific ideas for improving the platform.

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