Director of Engineering, Security Products

Weights & Biases Weights & Biases · Data AI · Livingston, NJ +2 · Technology

Director of Engineering, Security Products at CoreWeave, leading teams to build identity, authorization, and encryption platforms for enterprise customers running AI workloads. The role focuses on defining and executing the roadmap for security products that ensure customer trust and enable regulated AI workloads at scale, requiring strong leadership in a fast-paced, high-stakes domain.

What you'd actually do

  1. Define and drive the engineering roadmap for CoreWeave security products (e.g., IAM, authorization, encryption lifecycle management, workload identity, and related platform capabilities).
  2. Lead and grow high-performing engineering teams, including managers and senior ICs, responsible for building and operating security-critical services.
  3. Own the availability, reliability, and performance of security product services in production, including SLIs/SLOs, incident management, and on-call practices.
  4. Partner closely with Product Management and Information Security to translate customer, compliance, and GRC requirements into clear technical designs and delivery plans.
  5. Oversee the architecture and implementation of secure, scalable, and auditable systems that integrate with customer identity providers, key management systems, and security tooling.

Skills

Required

  • 10+ years of experience in software or infrastructure engineering building and operating production services
  • 5+ years of engineering leadership experience, including directly managing other managers and scaling multi-team organizations
  • Proven track record of delivering security, identity, or encryption-related products (e.g., IAM, SSO, KMS, HSM, workload identity, security platforms) at a cloud provider, security company, or large-scale SaaS
  • Experience designing and operating distributed systems with high availability, strong correctness requirements, and clear operational ownership
  • Strong understanding of enterprise security concepts such as authentication, authorization, least privilege, encryption at rest and in transit, and audit logging
  • Familiarity with common compliance and security frameworks (e.g., SOC 2, ISO 27001, FedRAMP, HIPAA) and how they translate into product and architectural requirements
  • Demonstrated experience collaborating with Product Management and Security/Compliance teams to prioritize trade-offs and ship customer-facing platform capabilities
  • Experience building and mentoring diverse, inclusive, and high-performing engineering teams in a fast-paced environment

Nice to have

  • excited about building security and identity platforms that make it easier—not harder—for customers to adopt secure-by-default AI workloads
  • enjoy working at the intersection of Product, Security, and Infrastructure, turning complex requirements into simple, reliable services
  • comfortable leading through ambiguity and change, and you can balance long-term platform investments with near-term customer and compliance needs
  • strong owner’s mindset, and you care deeply about operational excellence, from design reviews to incident response

What the JD emphasized

  • highly technical and strategic role
  • define and execute the roadmap
  • security products
  • customer trust
  • regulated AI workloads at scale
  • design and operate services that are reliable, auditable, and easy for customers to adopt
  • grow and mentor engineering leaders and ICs
  • set the standard for engineering excellence
  • fast-moving, high-stakes domain
  • security, identity, or encryption-related products
  • high availability, strong correctness requirements, and clear operational ownership
  • common compliance and security frameworks
  • translate into product and architectural requirements
  • ship customer-facing platform capabilities
  • building and mentoring diverse, inclusive, and high-performing engineering teams
  • fast-paced environment
  • building security and identity platforms
  • secure-by-default AI workloads
  • complex requirements into simple, reliable services
  • leading through ambiguity and change
  • long-term platform investments
  • near-term customer and compliance needs
  • strong owner’s mindset
  • operational excellence
  • design reviews
  • incident response