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Senior Competitive Intelligence Engineer

🕒 September 1

🍂 Massachusetts – Remote

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đŸ’” $139.3k - $250.7k / year

⏰ Full Time

🟠 Senior

đŸ‘·đŸ»â€â™€ïž Engineer

🩅 H1B Visa Sponsor

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đŸ‘» Ghost score 0%

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Logo of Akamai Technologies

Akamai Technologies

5001 - 10000 employees

🔒 Cybersecurity

💰 Post-IPO Equity on 2001-07

Cloud Computing ‱ Cybersecurity ‱ Content Delivery

Akamai Technologies is a leading cloud services provider that specializes in delivering security, cloud computing, and content delivery solutions. It offers a range of services such as API security, DDoS protection, and performance optimization for web applications, ensuring secure and reliable user experiences. With a robust global infrastructure, Akamai empowers businesses to streamline their digital presence while safeguarding against various cyber threats and enhancing application performance.

📋 Description

‱ Conduct technical evaluations of cloud and AI platforms ‱ Provision infrastructure, deploy workloads, measure performance, and document reproducible results ‱ Develop and manage a benchmarking framework for AI inference workloads using standardized tests, models, and KPIs ‱ Assess competitor architectures, APIs, networking, storage, GPU availability, orchestration tools, and developer experience ‱ Document actual product performance during deployment ‱ Produce battle cards, technical comparison guides, and Sales and Presales content grounded in verified data ‱ Collaborate with Product Management to analyze cloud products and recommend roadmap items ‱ Review and fact-check differentiation claims in marketing materials, sales decks, and analyst briefings ‱ Collaborate with architects, product managers, engineers, and solution engineers to influence architecture and go-to-market strategies

🎯 Requirements

‱ 12 years of technical experience in cloud engineering, solutions architecture, DevOps, technical marketing, or presales within enterprise technology ‱ Bachelor's degree or its equivalent ‱ Expertise in cloud infrastructure, including provisioning instances, configuring networking, deploying containers, and troubleshooting performance issues independently ‱ Experience operating AI/ML inference workflows and deploying model endpoints ‱ Ability to measure performance metrics and understand cost models ‱ Ability to design reproducible tests, control variables, and apply benchmarking methodology ‱ Ability to produce technical content understandable to engineers and actionable for stakeholders ‱ Ability to present findings to diverse professional audiences ‱ Demonstrated honesty and transparency in presenting findings

đŸ–ïž Benefits

‱ Annual bonus or incentives ‱ Equity awards ‱ Employee Stock Purchase Plan (ESPP) ‱ Healthcare ‱ 401K savings plan ‱ Company holidays ‱ Vacation in the form of PTO ‱ Sick time ‱ Parental leave ‱ Employee assistance program ‱ Mental wellness support ‱ Financial wellness support ‱ GROW development programs ‱ Mentoring ‱ APEX Expo internal events ‱ LinkedIn Learning

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