Manager, Product Security

Chime Chime · Fintech · San Francisco, CA · Security

Manager, Product Security at Chime, a fintech company. This role leads a team focused on cloud, data, and AI security. Responsibilities include securing cloud infrastructure, protecting data, and enabling safe AI adoption by defining guardrails, identifying risks (prompt injection, data leakage), and embedding security into development workflows. Requires experience in security engineering, cloud/data security, team management, and securing/evaluating AI/ML systems.

What you'd actually do

  1. Own the security posture of cloud infrastructure, data systems, and AI-enabled applications across product surfaces
  2. Influence data, ML, and infrastructure team roadmaps and drive alignment on security priorities without direct authority
  3. Partner with engineering and product teams to embed security into system design and development workflows
  4. Lead and grow a team of security engineers, setting a high bar for technical execution, ownership, and impact
  5. Define and execute strategy for securing cloud-native architectures and sensitive data at scale

Skills

Required

  • 5+ years of experience in security engineering
  • significant experience in cloud and/or data security
  • 2+ years of experience managing or leading security engineers
  • Strong understanding of cloud platforms (AWS, GCP)
  • Infrastructure as Code (IaC)
  • modern infrastructure patterns
  • Experience designing or securing systems that handle sensitive or regulated data
  • Experience securing or evaluating AI/ML systems
  • demonstrated ability to operate effectively in ambiguous and emerging security domains
  • Strong technical judgment
  • ability to go deep in architecture and security discussions
  • Experience operating in fast-paced, product-driven environments with shifting priorities
  • Strong communication skills
  • ability to translate security risks into business impact

What the JD emphasized

  • AI security is an increasingly critical area of focus
  • AI security
  • AI technologies
  • AI-powered features
  • AI adoption
  • AI systems
  • AI/ML systems