Customer Engineering Manager: AI-Driven Growth & Strategy

Cloudflare

Dallas (TX)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) Retirement Savings Plan
Life & Accident Insurance
Flexible paid time off
Parental leave

Job summary

Cloudflare in Dallas seeks a Manager of Customer Engineering to lead a high-performing, quota-bearing team delivering trusted technical advisory across the customer lifecycle. You’ll partner with regional sales to drive platform adoption, PoCs, and enterprise outcomes.

The ideal candidate brings 5+ years managing customer-facing tech teams, strong security and network expertise, and a proven ability to align technical work with business value while scaling AI-augmented workflows.

Qualifications

  • Leadership experience managing customer-facing technical teams.
  • Strong background in web security, networking, cloud infrastructure.
  • Commercial track record in revenue-aligned roles and SaaS metrics.
  • Experience using telemetry and health metrics to manage teams.
  • Exceptional executive communication and stakeholder influence.

Responsibilities

  • Lead and develop a high-performing team of Customer Engineers.
  • Partner with Regional Sales Leadership to align resources with pipeline opportunities.
  • Oversee technical governance, onboarding, and platform adoption.
  • Monitor performance against quotas and SaaS adoption metrics.
  • Champion AI automation to scale team productivity.
  • Collaborate with Product, Engineering, and Customer Success teams.

Skills

Leadership
Technical breadth
Commercial acumen
Operational metrics
Executive communication

Job description

Cloudflare in Dallas seeks a Manager of Customer Engineering to lead a high-performing, quota-bearing team delivering trusted technical advisory across the customer lifecycle. You’ll partner with regional sales to drive platform adoption, PoCs, and enterprise outcomes.

The ideal candidate brings 5+ years managing customer-facing tech teams, strong security and network expertise, and a proven ability to align technical work with business value while scaling AI-augmented workflows.

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