
Senior Product Manager - NVIDIA Sentry and DOCA Security
Santa Clara, CAFull-time$208–380K/yrPosted 1 day agoStill listed today
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Job overview
The Senior Product Manager will guide product definition for NVIDIA Sentry and DOCA security features, including confidential computing, and help shape runtime security for AI agents and AI factories. The role works across NVIDIA teams and with security partners, cloud providers, and enterprise customers to define requirements, support deployments, and promote adoption. It also contributes to reference designs, demos, and go-to-market strategy.
Skills & qualifications
Skills
Qualifications
Full job description
At NVIDIA, you’ll join a diverse, motivated community united by curiosity, creativity, and a shared mission to change the world. Our DOCA Product Group leads software strategy for ConnectX and BlueField, which are cornerstones of NVIDIA’s data center and AI strategy. Together, we’re building the networking and security backbone of tomorrow’s intelligent systems. NVIDIA Sentry is a security framework developed on DOCA and operates on BlueField DPUs. It forms a key element of the NVIDIA OpenShell reference architecture for secure AI agents. The system enforces zero-trust controls out-of-band, separated from the host. This ensures visibility and control remain intact even if an agent breaks out of its sandbox.
In this role, you’ll help build how AI agents and AI factories are secured at runtime. As agents gain autonomy, take actions, and call tools across the AI factory, security can no longer live only inside the software it protects. You’ll guide the product definition of NVIDIA Sentry and DOCA security features, including confidential computing. You’ll engage with multiple teams across NVIDIA, create collaborative value offerings with prominent security partners, and encourage technology and DOCA adoption among customers. This is a rare opportunity to influence a new security category as it reaches a pivotal moment.
What You’ll Be Doing:
- Lead Product Definition: Transform customer, partner, and internal feedback into prioritized requirements and product specifications for NVIDIA Sentry and DOCA security.
- Integrate OpenShell Architecture: Partner across NVIDIA teams to align NVIDIA Sentry with the OpenShell reference architecture, delivering unified defense-in-depth from infrastructure enforcement to model/agent guardrails.
- Drive Partner Ecosystem & Solutions: Collaborate with cybersecurity vendors on BlueField/DOCA to build joint value proposals and define required DOCA APIs for AI runtime security, firewall, XDR, and SIEM.
- Drive Customer Adoption: Engage cloud service providers, NVIDIA Cloud Partners (NCPs), and enterprise CISOs to address threat models, validate architecture builds, and support large-scale deployments.
- Define AI Runtime Infrastructure Security: Specify requirements for agent/workload separation, micro-segmentation, traffic inspection, policy enforcement on tool calls, data exfiltration prevention, and telemetry.
- Specify Confidential Computing & Encryption: Define criteria for DOCA confidential computing (attestation, trusted I/O, data/model protection) and hardware inline encryption offload (IPsec, TLS, MACsec).
- Execution & Technical Promotion: Partner with engineering/architecture to track delivery, while promoting NVIDIA Sentry, OpenShell, and confidential computing through blogs, conference talks, and technical sessions.
- Go-To-Market & Market Intelligence: Build use cases, reference designs, and demos with GTM teams while monitoring AI security trends (agent identity, AI gateways, AISPM) to guide product strategy.
What We Need To See:
- BSc/MSc in CS, EE, or equivalent experience
- 12+ years in cybersecurity and 10+ years in security product management.
- Deep knowledge of zero trust, micro-segmentation, firewalls, IDS/IPS, encryption, workload protection, and threat detection/response.
- Strong grasp of AI/agentic security risks, including prompt injection, tool/MCP misuse, data exfiltration, model/supply-chain integrity, and multi-tenant isolation.
- Practical mastery of trusted execution environments (TEEs), attestation, and hardware roots of trust.
- Hands-on understanding of DPUs/SmartNICs, hardware offload, Linux, and Kubernetes.
- Proven track record of co-developing security products with vendors, enterprise customers, and major CSPs from initial requirements through launch and scale.
- Demonstrated ability to collaborate across diverse teams and drive alignment through influence without direct authority.
- Excellent balance of technical architecture depth and GTM/revenue insight, with strong communication skills spanning developers to CISOs.
Ways To Stand Out From The Crowd:
- Product leadership in AI security, cloud workload protection, or network security at a leading cybersecurity company.
- Experience developing security solutions on DPUs or SmartNICs, such as BlueField, or using DOCA.
- Hands-on experience with confidential computing technologies, such as Intel TDX, AMD SEV-SNP, Arm CCA, or confidential GPUs and trusted I/O.
- Experience in agentic AI security, AI guardrails, agent identity, AI gateways, or agent runtimes and reference architectures like NVIDIA OpenShell.
- Proven history of developing combined solutions alongside security associates and encouraging platform use by customers.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 208,000 USD – 327,750 USD for Level 5; and 240,000 USD – 379,500 USD for Level 6. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
How this job compares
Set against the 10,129 open Product Management jobs on Olive Jobs, counted November 15, 2026.
- Pay
- This posting$208–380K/yr
- California median$179–269K/yr1,479 salary ranges
- US median$150–227K/yr8,535 salary ranges
This range's midpoint, $294K, is 31% above the California median midpoint ($224K) — in the top quarter of Product Management salary ranges in California.
- Openings
- Olive Jobs lists 1,725 open Product Management jobs in California and 10,129 across the US. 9% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Google140 open
- Intuit59 open
- Palo Alto Networks53 open
- Experience
- This posting asks for at least 12 years of experience — more than three in four Product Management postings that state a minimum ask for (median 7 years, across 8,577 postings).
- Education
- 3,071 of the 10,129 open Product Management jobs (30%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 15, 2026. Figures based on too few postings are left out.
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