Manager, Customer Identity, Security Engineering

Overview

Lead globally distributed security engineering teams within Auth0 Customer Identity, covering threat protection (including AI-driven threat intelligence and AI workload protection) and software development for security (including secrets handling and related micro-services and tooling).

What you'll do

• Hire, lead, coach, and develop globally distributed teams of security engineers (Senior through Staff), building a culture of research discipline, technical excellence, and ownership
• Define and execute a multi-quarter roadmap for your teams, aligned with Customer Identity business goals and Okta's company-wide security strategy, and balance investment and prioritization across them
• Lead the delivery of scalable, reliable micro-services and automation that secure Customer Identity products and infrastructure, including secrets storage, rotation, access control, auditing, and workload identity
• Drive adoption of secure-by-default secrets handling across Auth0 engineering teams, and reduce the risk from hard-coded, long-lived, or over-privileged credentials
• Research the emerging AI threat landscape and translate it into a forward-looking (12–24 month) view of what we need to protect ourselves and our customers from, then prioritize investments in detection, tooling, and protections to get there
• Direct research and protections against emerging general and AI-driven security threats targeting Auth0 and Auth0's customers, including traditional identity attacks as well as adversarial ML, prompt injection, abuse of agentic protocols (MCP, A2A, UCP), and data poisoning, as they apply to identity systems and customer tenants
• Guide the review and hardening of Auth0's AI security offering, using analysis of past incidents to drive improvements such as new detection signals, heuristic updates, and data labeling enhancements, while identifying gaps and recommending mitigations before they're exploited
• Partner with the identity security teams to help customers strengthen their own tenant security posture through comprehensive defenses and security countermeasures
• Partner across Product, Engineering, and Identity Security leadership to turn research into shipped protections for customer tenants, both proactively (hardening posture before an attack) and during active incidents (accelerating detection, triage, and response)
• Drive adoption of scalable security solutions and automation that operationalize threat defenses and secrets protections at scale
• Own and influence high-impact security architecture decisions across Auth0 and Okta Customer Identity infrastructure to support long-term threat resilience
• Collaborate with the Okta Security team on security operations and, where relevant, support investigations, root cause analysis, and remediation
• Advise stakeholders on mitigation strategies for security risks, including end-of-life software and vulnerabilities, in support of the teams that own patching
• Communicate risk, progress, and trade-offs clearly to senior leadership, and turn research into clear guidance for engineering and product teams
• Manage team health, prioritization, and delivery across time zones, including India

What you'll need

• 8+ years of experience in security engineering, with a strong foundation in cloud infrastructure and/or product security
• 3+ years of experience managing security or software engineering teams, with a track record of hiring, developing, and retaining strong engineers
• Hands-on development background, sufficient to guide the design and review of micro-services, evaluate prototypes, and steer the building of security tooling and AI-powered defenses
• Hands-on experience with AI/ML security, attacking, defending, or both (e.g., adversarial ML, LLM/prompt-injection attacks, agentic-system or model abuse), and an interest in using AI to build defenses, not just to study attacks
• Working knowledge of secrets management and cryptographic key handling (e.g., vaulting, rotation, short-lived credentials, workload identity)
• Working knowledge and hands-on experience with one or more of the following: AWS and/or Azure security; Kubernetes
• Strong knowledge of OWASP security standards and frameworks (including the OWASP Top 10 for LLM Applications) and secure coding best practices
• Strong foundation in secure software development lifecycle best practices
• Proven record of setting technical vision, defining multi-quarter strategy, driving architectural consensus, and influencing cross-organizational security initiatives
• Strong written and verbal communication skills, with the ability to turn research into clear guidance for engineering, product, and executive audiences
• Experience leading a globally distributed and remote team, ideally across multiple time zones including India

Nice to have

• Go / Node development experience
• Published threat research, CVEs, or conference talks in AI/ML security or identity security
• Built or led teams building AI/ML-powered security tooling or defensive automation in a production environment
• Experience building or operating secrets management platforms (e.g., HashiCorp Vault, cloud KMS and secret managers) at scale
• Working knowledge and experience with one or more of the following: Adversarial ML, model red-teaming, or AI safety research; The AI agent / MCP ecosystem and its security implications; Identity and access management; Full-stack engineering; Site reliability engineering; Vulnerability and threat management; Governance, risk and compliance

Details

• Location: Bengaluru, India
• Work mode: Hybrid