Senior Manager, Product Security Engineering
About The Position
The Senior Manager, Agentic AI Product Security Engineering leads Dell Technologies’ engineering work to build, evaluate, and operate AI-native security capabilities. The role is part of the Security and Resiliency organization and Product Security Engineering team, which works to minimize security risks in Dell products through vulnerability response, secure development practices, security certifications, shared software security components and toolkits, and measures to protect product code and reduce risks from counterfeit or maliciously tainted components. The position is based in Round Rock, Texas. Relocation assistance is available. The manager leads and develops engineers, drives delivery execution and accountability, maintains high engineering standards through direct technical involvement, and defines the technical vision and roadmap for AI-native security capabilities. The role also hires and coaches engineers and communicates priorities, trade-offs, and risks to senior leadership across complex organizations.
Requirements
- 10+ years, or equivalent skill, of software engineering experience delivering production-scale systems, including 3+ years of experience in an engineering management role.
- Strong technical depth to review architecture, evaluate technical designs, assess code quality, and lead technical decision-making across complex engineering initiatives.
- Hands-on experience building and operating AI-native systems, including agentic systems, large language model (LLM) applications, evaluation frameworks for non-deterministic systems, and production AI environments.
- Proven track record of driving delivery accountability, setting technical direction, managing execution against commitments, and communicating priorities, trade-offs, and risks to senior leadership across large, complex, matrixed organizations.
- Demonstrated success hiring and developing engineers in a competitive talent market, including building an interview process that predicts performance and growing engineers’ capability and scope.
Nice To Haves
- Experience leading engineering teams developing AI or machine learning (ML) systems for production environments, preferably within cybersecurity or security engineering organizations.
- Familiarity with Model Context Protocol (MCP), agentic AI frameworks, AI evaluation methodologies, and the challenges of establishing and scaling new engineering functions in rapidly evolving technology domains.
Responsibilities
- Lead and develop a team of engineers responsible for building, evaluating, and operating AI-native security capabilities.
- Drive delivery execution and accountability, ensuring commitments are met through sustainable engineering practices and operational excellence.
- Establish and maintain a high engineering bar through direct involvement in architecture reviews, technical design, and code review.
- Define and continuously evolve the technical vision and roadmap for AI-native security capabilities as business needs and technology advance.
- Hire engineers through an interview process that tests real production experience, and grow their capability and scope through coaching.
Benefits
- Relocation assistance is available.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
