Technical Marketing Engineer - Distributed Networking & AI

Akamai Technologies, Inc.

Lansing (MI)

On-site

USD 120,000 - 215,000

Full time

10 days ago

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Job summary

Akamai Technologies, Inc. seeks a Senior Technical Marketing Engineer for Distributed Networking, Content Delivery, and AI to act as the technical proof engine behind Akamai's delivery and performance story.

You will build, benchmark, and demonstrate on the platform itself, then translate learnings into content for engineers, architects, and technical decision makers. You will work hands-on with delivery stacks, design reproducible benchmarks, and develop reference architectures for AI

Qualifications

  • Must have hands-on experience with modern delivery networks and performance tooling.
  • Experience configuring live environments and benchmarks for real traffic.
  • Familiarity with AI workloads and distributed systems is a plus.

Responsibilities

  • Implement Akamai delivery and performance products in live demos and environments.
  • Design and run reproducible benchmarks with defendable methodology.
  • Build reference architectures and demos for modern apps and AI workloads.
  • Own the technical answer showing what differentiates Akamai's platform for AI traffic.
  • Collaborate with engineering on optimization, peering, routing, and cryptography topics.
  • Translate AI traffic findings into practical guidance for customers and field teams.
  • Produce regular technical content: blogs, reports, architectures, talks, and demos.

Skills

Hands-on delivery
HTTP/2 & HTTP/3
QUIC
TLS
DNS
Caching & routing
APIs & tooling
Scripting/automation

Education

Bachelor's degree in a technical field

Job description

Akamai Technologies, Inc. seeks a Senior Technical Marketing Engineer for Distributed Networking, Content Delivery, and AI to act as the technical proof engine behind Akamai's delivery and performance story.

You will build, benchmark, and demonstrate on the platform itself, then translate learnings into content for engineers, architects, and technical decision makers. You will work hands-on with delivery stacks, design reproducible benchmarks, and develop reference architectures for AI

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