
5001 - 10000 employees
đ Cybersecurity
đą Enterprise
đ± Media
Cybersecurity âą Enterprise âą Media
Akamai Technologies is a global edge platform and cloud services company that delivers content delivery, edge computing, and security solutions. The company operates one of the worldâs largest distributed networks to accelerate and protect web, media, and application traffic, offering products for content delivery, DDoS protection, API and app security, bot management, edge compute (serverless/edge functions), and AI inference at the edge. Akamai also provides enterprise-focused security services (zero trust, identity and access management, secure internet access) and cloud/AI infrastructure tools, and has recently expanded capabilities through acquisitions (for example LayerX) to add browser-based AI usage control.
đ April 24
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5001 - 10000 employees
đ Cybersecurity
đą Enterprise
đ± Media
Cybersecurity âą Enterprise âą Media
Akamai Technologies is a global edge platform and cloud services company that delivers content delivery, edge computing, and security solutions. The company operates one of the worldâs largest distributed networks to accelerate and protect web, media, and application traffic, offering products for content delivery, DDoS protection, API and app security, bot management, edge compute (serverless/edge functions), and AI inference at the edge. Akamai also provides enterprise-focused security services (zero trust, identity and access management, secure internet access) and cloud/AI infrastructure tools, and has recently expanded capabilities through acquisitions (for example LayerX) to add browser-based AI usage control.
âą Leading qualitative studies including in-depth interviews, usability testing, and contextual inquiry to understand developer workflows in AI. âą Designing and analyze surveys and run A/B tests to evaluate feature performance and validate qualitative hypotheses. âą Building and maintaining dashboards to interpret behavioral analytics, identifying patterns or usability issues that inform product prioritization. âą Analyzing user feedback and data, identifying themes, and translating findings into recommendations and research artifacts such as personas and maps. âą Collaborating with designers and PMs to shape research questions while integrating findings into product plans and design updates. âą Simplifying workflows for model deployment, inference, and AI-assisted tools (e.g., copilots) to streamline and manage intricate systems effectively.
âą Demonstrate expertise in UX research, data analytics, or related fields, ideally within enterprise, SaaS, or developer-focused environments. âą Demonstrate proficiency in qualitative research methods (moderated interviews, concept testing) and familiarity with quantitative methods (survey design, statistical analysis). âą Demonstrate interest in or experience with AI/ML workflows and a desire to develop skills in AI-based product design. âą Utilize data visualization tools and behavioral analytics platforms effectively to analyze and interpret complex information for actionable insights. âą Demonstrate storytelling and presentation abilities to convey complex qualitative and quantitative insights clearly to stakeholders. âą Hold expertise in HCI, Psychology, Computer Science, or a closely connected discipline.
âą Professional development opportunities âą GROW and Mentoring programs âą Internal events like APEX Expo âą Tools such as Linkedin Learning
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