Lead Product Manager, AI

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