Engineering Manager, AI-Powered Data Insights (Hybrid)

CloudFlare

United States

Hybrid

USD 85,000 - 128,000

Full time

14 days+
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Job summary

Cloudflare is seeking an Engineering Manager to lead the AI and Internet Data Insights engineering portfolio. You will be responsible for the people, execution, and engineering quality behind products that help customers discover content and turn signals into useful experiences.

This role emphasizes technical credibility, collaboration with Product Management, and guiding architecture without writing most of the code.

Qualifications

  • Led and developed high-performing engineering teams and shipped outcomes.
  • Able to review designs and understand trade-offs in distributed systems.
  • Balance near-term delivery with long-term technical investments.
  • Partner with Product Management to shape roadmaps and priorities.
  • Care about reliability and quality of data systems.

Responsibilities

  • Manage, coach, and grow engineers across AI-powered search, Internet data insights, and customer-facing products.
  • Own execution by setting priorities and granting autonomy to teams.
  • Lead the development of search and retrieval capabilities for trustworthy content.
  • Collaborate with Product Management to translate problems into engineering outcomes.
  • Identify signals from Cloudflare’s network to provide insights for customers and partners.
  • Explore how Internet activity insights enable new products.
  • Balance delivery with technical investments for future growth.
  • Own operational health including observability and incident response.
  • Develop technical leaders and foster architecture and implementation leadership.

Skills

Distributed systems
Search systems
Data-intensive systems
Internet infrastructure
Hiring engineers

Job description

Cloudflare is seeking an Engineering Manager to lead the AI and Internet Data Insights engineering portfolio. You will be responsible for the people, execution, and engineering quality behind products that help customers discover content and turn signals into useful experiences.

This role emphasizes technical credibility, collaboration with Product Management, and guiding architecture without writing most of the code.

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