Job description

Lead Product Manager, AI A10 protects the infrastructure that carries the internet s traffic. Our customers are now running LLM and agentic workloads on that infrastructure, and they need the same guarantees for AI that they ve had from us for two decades on application delivery and DDoS. This role owns that. You ll carry the roadmap and revenue for A10 AI Firewall and our AI gateway offering, and you ll set the standard for how AI shows up everywhere else in the portfolio — from adaptive learning in A10 Defend Mitigator to behavioral scoring in Defend ThreatX Protect to analytics in A10 Control. You ll have one PM working for you and room to grow the team with the business. Responsibilities Own the AI product line Set and defend the roadmap for A10 AI Firewall and the AI gateway, from PRD through NPI stage gates to GA and revenue Own pricing and packaging, including the identity-based licensing model and discount structure, and defend margin against field pressure Partner with engineering on deployment architecture across Thunder form factors — appliance, vThunder, bare metal, and containerized — and on integration with Thunder ADC, SSLi, CFW, and the aXAPI control plane Carry bookings, pipeline contribution, and attach rate to the installed base Set portfolio AI direction Define what AI-enhanced means at A10 — a common efficacy bar, model transparency standard, and telemetry contract that every product line builds to rather than reinventing Drive cross-line AI decisions in partnership with the PMs owning Thunder ADC, CGN, SSLi, CFW, the A10 Defend suite, and A10 Control Represent AI in portfolio review, CAB, and the AI CoE intake process, and bring build/buy/partner recommendations forward with the analysis behind them Grow the team Manage and develop one AI-focused product manager, scaling with the business Set the standard for written artifacts, customer discovery, and evidence-backed decisions Own the external story Be the credible technical voice on A10 s AI strategy with customers, prospects, analysts, and the field — in briefings, at conferences, and on escalated deals Drive enablement so SEs and account teams can sell AI capabilities without you on every call Qualifications Required 8 years in product management, including at least 2 owning an enterprise infrastructure or security product end to end, with pricing and revenue accountability Demonstrated depth in AI/ML security or AI infrastructure: LLM attack surface, prompt injection and model abuse, agentic architectures, MCP and inference traffic patterns, and what an AI gateway actually does in a production path Strong networking and security fundamentals — L4–L7, TLS and encrypted traffic inspection, API security, firewalling, DDoS Experience with service provider or enterprise sales motions, and the judgment to tell where the two diverge Track record of shipping through a formal stage-gate process and of leading cross-functional programs without direct authority over most of the people involved Strong written and verbal communication. You ll be in front of executives, customers, and analysts Preferred Prior people management, or clear evidence of readiness for it Familiarity with AI governance and compliance frameworks — ISO 42001, the EU AI Act, NIST AI RMF — and how they translate into product requirements Kubernetes, cloud-native, and hyperscaler marketplace deployment models Public company experience with quarterly revenue accountability AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. Targeted compensation guideline: Up to 200K OTE. Compensation will vary based on number of factors, including market demand for specific skills, role type, job level, and individual qualifications. Final salary offers are determined by considerations including, but not limited to, subject matter expertise, demonstrated skill level, relevant experience, geographic location, education, certifications, and training. A10 Networks is an equal opportunity employer and a VEVRAA federal subcontractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. A10 also complies with all applicable state and local laws governing nondiscrimination in employment. #LI-AN1 - Hybrid

Requirements

Must-haves

Own the AI product line
Set and defend the roadmap for A10 AI Firewall and the AI gateway, from PRD through NPI stage gates to GA and revenue
Own pricing and packaging, including the identity-based licensing model and discount structure, and defend margin against field pressure
Partner with engineering on deployment architecture across Thunder form factors — appliance, vThunder, bare metal, and containerized — and on integration with Thunder ADC, SSLi, CFW, and the aXAPI control plane
Carry bookings, pipeline contribution, and attach rate to the installed base
Set portfolio AI direction
Define what AI-enhanced means at A10 — a common efficacy bar, model transparency standard, and telemetry contract that every product line builds to rather than reinventing
Drive cross-line AI decisions in partnership with the PMs owning Thunder ADC, CGN, SSLi, CFW, the A10 Defend suite, and A10 Control
Represent AI in portfolio review, CAB, and the AI CoE intake process, and bring build/buy/partner recommendations forward with the analysis behind them
Grow the team
Manage and develop one AI-focused product manager, scaling with the business
Set the standard for written artifacts, customer discovery, and evidence-backed decisions
Own the external story
Be the credible technical voice on A10 s AI strategy with customers, prospects, analysts, and the field — in briefings, at conferences, and on escalated deals
Drive enablement so SEs and account teams can sell AI capabilities without you on every call
8 years in product management, including at least 2 owning an enterprise infrastructure or security product end to end, with pricing and revenue accountability
Strong networking and security fundamentals — L4–L7, TLS and encrypted traffic inspection, API security, firewalling, DDoS
Experience with service provider or enterprise sales motions, and the judgment to tell where the two diverge
Track record of shipping through a formal stage-gate process and of leading cross-functional programs without direct authority over most of the people involved
Strong written and verbal communication. You ll be in front of executives, customers, and analysts

Nice-to-haves

Prior people management, or clear evidence of readiness for it
Familiarity with AI governance and compliance frameworks — ISO 42001, the EU AI Act, NIST AI RMF — and how they translate into product requirements
Kubernetes, cloud-native, and hyperscaler marketplace deployment models
Public company experience with quarterly revenue accountability

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmmlapikubernetes

Platform: workday
Effort: long