Customer Engineering Manager: AI-Driven Growth & Strategy

Cloudflare; Dallas (TX); Sur place; USD 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) Retirement Savings Plan

Life & Accident Insurance

Flexible paid time off

Parental leave

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Leadership

Technical breadth

Commercial acumen

Operational metrics

Executive communication

Description du poste

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.