Senior Manager, Product Security Engineering

Dell Technologies•Round Rock, TX

5d•Onsite

About The Position

Dell Technologies is seeking a Senior Manager, Agentic AI Product Security Engineering for its Security and Resiliency team in Round Rock, Texas. The Product Security Engineering team designs and develops software and systems to minimize security risks in Dell products. Its work includes vulnerability response, implementation of the security development lifecycle, coordination of security certifications, development of common software security components and toolkits, protection of product-code authenticity and integrity, and mitigation of risks from counterfeit or maliciously tainted components. The Security and Resiliency organization manages security risk across Dell’s business. The role leads engineers building, evaluating, and operating AI-native security capabilities and sets their technical direction and delivery practices. Relocation assistance is available. The base salary range is $194,400–$267,300, dependent on level.

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 systems for production environments, preferably within cybersecurity or security engineering organizations.
Familiarity with Model Context Protocol (MCP), agentic AI frameworks, and AI evaluation methodologies.
Familiarity with 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.