Senior Competitive Intelligence Engineer
Akamai Technologies
- Location
- United States
- Level
- Senior
- Salary
- $139.3k/yr
- H-1B history
- 75 approvals (FY2023)
- Posted
- Sep 1, 2026
About this role
Would you like to use your hands on technical expertise to help influence Akamai's Cloud evolution? Would you like to work cross-functionally with product management and sales engineers? Join our Competitive Intelligence Team This position combines technical marketing and competitive analysis. Responsibilities include managing cloud environments, running benchmarks, and creating data-driven insights for strategy development. Collaboration occurs with architects, product managers, engineers, and solution engineers to influence architecture and go-to-market strategies through direct technical engagement. Partner with the best Akamai needs practitioners who can deploy competitor products, benchmark performance, evaluate architectures, and translate findings into actionable intelligence for the business. As a Senior Competitive Intelligence Engineer , you will be responsible for: Conducting technical evaluations of cloud and AI platforms, provision infrastructure, deploy workloads, measure performance, and document results in reproducible formats Developing and manage a benchmarking framework for AI inference workloads, standardizing tests, models, and KPIs for provider comparisons (e.g., Llama, Mistral) Assessing competitor architectures, APIs, networking, storage, GPU availability, orchestration tools, and developer experience while documenting actual product performance during deployment Producing battle cards, technical comparison guides, and content for Sales and Presales that are grounded in verified data Collaborating with Product Management to analyze cloud products, provide actionable insights, and recommend roadmap items to address customer challenges effectively Reviewing and fact-checking differentiation claims in marketing materials, sales decks, and analyst briefings Do what you love To be successful in this role you will: 12 years of technical experience in cloud engineering, solutions architecture, DevOps, technical marketing, or presales within enterprise technology and a Bachelor's degree or its equivalent Demonstrate expertise in cloud infrastructure by provisioning instances, configuring networking, deploying containers, and troubleshoot performance issues independently Operate AI/ML inference workflows, deploy model endpoints, measure performance metrics, and understand cost models Design reproducible tests, control variables, and present honest results using benchmarking methodology to provide accurate, data-driven performance insights Produce technical content understandable to engineers and actionable for stakeholders, while effectively presenting findings to diverse professional audiences Demonstrate honesty by presenting findings transparently, ensuring credibility and trust in competitive intelligence for effective stakeholder engagement Build your career at Akamai Our ability to shape digital life today relies on developing exceptional people like you. The kind that can turn impossible into possible. We’re doing everything we can to make Akamai a great place to work. A place where you can learn, grow and have a meaningful impact. With our company moving so fast, it’s important that you’re able to build new skills, explore new roles, and try out different opportunities. There are so many different ways to build your career at Akamai, and we want to support you as much as possible. We have all kinds of development opportunities available, from programs such as GROW and Mentoring, to internal events like the APEX Expo and tools such as Linkedin Learning, all to help you expand your knowledge and experience here. Learn more Not sure if this job is the right match for you or want to learn more about the job before you apply? Schedule a 15-minute exploratory call with the Recruiter and they would be happy to share more details.
Compensation
Akamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $139,300 -