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CoreWeave

Rents GPU cloud computing for AI developers

Director Product Security

Security Engineering & ArchitectureUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 10 years of experience in security or software engineering, with significant experience in application security, vulnerability management, or offensive security.
  • At least 5 years of security leadership experience, including managing managers and scaling a multi-team organization.
  • A proven track record of building or running a product security program at a cloud provider, security company, or large-scale software-as-a-service business.
  • Experience taking over existing teams and integrating them into one organization.
  • A track record of influencing engineering leaders on architecture and roadmap decisions outside the candidate's ownership.
  • Hands-on depth in modern application security, including the ability to read threat models, review fixes, and distinguish real findings from noise.
  • Experience operating a vulnerability management program at scale, including metrics, service-level agreements, executive reporting, and sound program practices.
  • Direct experience with offensive security, either running a red team or penetration testing program or performing the work directly.
  • Working knowledge of how artificial intelligence systems are built and deployed, including security issues associated with large language models, agents, and model supply chains.
  • Sufficient familiarity with Kubernetes, cloud infrastructure, and continuous integration and continuous delivery to be credible with the engineers who build them.
  • Experience building and mentoring diverse, inclusive, high-performing teams in a fast-paced environment.

Responsibilities

  • Define and drive the Product Security strategy and roadmap across application security, vulnerability management, offensive security, artificial intelligence product security, and product vulnerability response.
  • Lead and grow a multi-team organization of managers and senior individual contributors, including hiring the engineering managers who will run each function.
  • Build an agentic-first vulnerability program in which agents discover, triage, and remediate issues at scale, with the goal of retiring entire classes of risk rather than closing tickets one at a time.
  • Own vulnerability management end to end across infrastructure and products, including discovery, prioritization, service-level agreements, remediation, and executive reporting.
  • Run a tiered offensive security program combining continuous agentic testing, third-party assessments, an internal team focused on the hardest targets, and external researchers through vulnerability disclosure and bug bounty programs.
  • Conduct adversarial testing of models, agents, and the inference stack for artificial intelligence-specific failure modes, including prompt injection, poisoned tools, and abuse of autonomy.
  • Apply offensive security testing to tenant isolation across shared GPUs, bare metal, and Kubernetes, ensuring that Platform Security's isolation controls and strategy hold.
  • Build a paved road for engineers through secure defaults, controls integrated into their existing tools, and validated findings accompanied by fixes.
  • Establish a secure development lifecycle across the business, including threat modeling, secure design review, and security tooling in continuous integration and continuous delivery, and extend it to acquired companies.
  • Own security for artificial intelligence products and engineering tools, including model and dataset supply chains, agent tooling, and provenance of artificial-intelligence-generated code.
  • Establish and run product vulnerability response, including intake, coordinated disclosure, customer communication, and fixes across the product portfolio.
  • Embed Product Security Partners in critical product areas with authority to make design-time security decisions within policy, and maintain a standing leadership cadence with Product Management.
  • Partner with Cloud Security, Platform Security, Detection and Response, and Governance, Risk, and Compliance to maintain clear prevention, detection, and response boundaries and clean handoffs.

Desired Qualifications

  • Experience deploying artificial intelligence agents or large-language-model-based tooling for security work, or building the platform on which they run.
  • Experience running a product security incident response team or coordinated vulnerability disclosure function.
  • Experience with the security aspects of mergers-and-acquisitions diligence and integration.
  • Public contributions to the security community through open source, research, talks, or common vulnerabilities and exposures.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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