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Product Manager II, AI & Data Security

CompraTica Empleos

EMP:Technology
Paris
Tiempo Completo
Remoto
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Descripción

<p data-renderer-start-pos="41" data-local-id="e43db32d6868">As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used.

Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production.

</p> <p data-renderer-start-pos="398" data-local-id="27c03b79d92a">As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely.

</p> <p data-renderer-start-pos="684" data-local-id="44aee37ec729">You'll partner with engineering, design, security research, and <span class="acronym-highlight">GTM</span> teams to define and ship platform capabilities that help organizations adopt AI at scale.

</p> <p data-renderer-start-pos="843" data-local-id="8ddf43dbde22">At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

</p> <p data-renderer-start-pos="1094" data-local-id="4c9e4fc0bcdf"><strong data-renderer-mark="true">What You’ll Do:</strong></p> <ul class="ak-ul" data-local-id="c07a7426c8ba" data-indent-level="1"> <li> <p data-renderer-start-pos="1112" data-local-id="516711aa0752">Own the roadmap for AI & Data Security capabilities, including AI and data discovery & posture management.

</p> </li> <li> <p data-renderer-start-pos="1222" data-local-id="0547ad38f712">Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations.

</p> </li> <l.

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