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Senior Competitive Intelligence Engineer

🕒 Setembro 1

🍂 Massachusetts – Remoto

infoinfo

💵 $139.300 - $250.700 / ano

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Akamai Technologies

5001 - 10000 funcionários

🔒 Cibersegurança

💰 Post-IPO Equity em 2001-07

Cloud Computing • Cybersecurity • Content Delivery

A Akamai Technologies é um provedor líder de serviços em nuvem especializado em oferecer soluções de segurança, computação em nuvem e entrega de conteúdo. A empresa oferece uma gama de serviços, como segurança de API, proteção contra DDoS e otimização de desempenho para aplicativos web, garantindo experiências de usuário seguras e confiáveis. Com uma infraestrutura global robusta, a Akamai capacita empresas a otimizar sua presença digital, protegendo contra diversas ameaças cibernéticas e melhorando o desempenho de aplicativos.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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