Sr. Product Manager - AI Security - REMOTE
Lenovo
North Carolina, United States
See who Lenovo has hired for this role
See who Lenovo has hired for this role
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Role Overview
As Senior Technical Product Manager for AI Security, you will define and execute the security roadmap for Lenovo’s next-generation Hybrid Cloud and Agentic AI Platform.
In this role, you won't just manage IT compliance checklists - you will build productized security capabilities that protect enterprise AI systems at scale. You will own the strategy and execution for securing model behavior, agentic tool execution, and multi-tenant data pipelines, ensuring global enterprise customers can safely deploy autonomous AI agents on-premises and across hybrid cloud environments.
What You Will Do (Key Responsibilities)
Product Strategy AI Security Architecture
Own the end-to-end vision for platform-level security guardrails across LLMs, RAG pipelines, and autonomous agent workflows.
8+ years of Product Management experience owning cloud infrastructure, enterprise platforms, or cybersecurity products.
The base salary range budgeted for this position is $184,000 to $233,000. Individuals may also be considered for bonus and/or commission. In compliance with Colorado's EPEWA, the expected Application Deadline for this position is 8/15/2026 – this applies to both internal and external candidates
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Role Overview
As Senior Technical Product Manager for AI Security, you will define and execute the security roadmap for Lenovo’s next-generation Hybrid Cloud and Agentic AI Platform.
In this role, you won't just manage IT compliance checklists - you will build productized security capabilities that protect enterprise AI systems at scale. You will own the strategy and execution for securing model behavior, agentic tool execution, and multi-tenant data pipelines, ensuring global enterprise customers can safely deploy autonomous AI agents on-premises and across hybrid cloud environments.
What You Will Do (Key Responsibilities)
Product Strategy AI Security Architecture
- Productize core security capabilities including prompt injection defenses, input/output sanitization, training/retrieval data exfiltration prevention, and model hallucination evaluation.
- Architect fine-grained Access Control (RBAC/ABAC) models and runtime sandboxing for AI agents interacting with enterprise APIs, databases, and third-party tools.
- Define platform logging and telemetry standards to ensure every automated agent decision is transparent, defensible, and auditable for enterprise CISOs and regulatory governance boards.
- Partner directly with enterprise security leaders, CISOs, and developer teams to validate real-world threat models and translate emerging risks into core platform features.
- Design "security-by-design" platform primitives (SDKs, automated CI/CD checks, and API gateways) that keep developer onboarding frictionless while enforcing zero-trust boundaries.
- Lead capabilities from initial threat modeling and technical PRDs through engineering sprints, red-teaming/sandboxing, launch, and customer adoption.
- Partner closely with AI Research, Platform Engineering, Cloud Infrastructure, and Legal/Compliance teams to ship production-ready, enterprise-grade software.
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
- Deep knowledge of Security and AI Security domains
- Deep understanding of governance, compliance, and policy frameworks
- Demonstrated track record of translating complex cloud and AI concepts into compelling product roadmaps and go-to-market strategies
- Experience working with AI and agentic solutions
- Strong understanding of hybrid and multi-cloud concepts and business drivers (understanding of how public and private cloud solutions integrate to serve enterprise needs)
- Experience with major cloud platforms (AWS, Azure, GCP at a conceptual and business level); familiarity with container and orchestration concepts is a plus
- Proven ability to define and deliver products from concept through launch, with a focus on customer outcomes and business impact
- Strong analytical, stakeholder management, and communication skills
The base salary range budgeted for this position is $184,000 to $233,000. Individuals may also be considered for bonus and/or commission. In compliance with Colorado's EPEWA, the expected Application Deadline for this position is 8/15/2026 – this applies to both internal and external candidates
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
-
Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Product Management and Marketing -
Industries
IT Services and IT Consulting
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