Hiring: Lead Product Manager, AI Company: A10 Networks, Inc Location: San Francisco Bay Area Job Posted Time: 2026-09-16 23:46:29 Employment Type: Contract Target Skills & Keywords : DDoS, Kubernetes, LLM, Product Management, TLS About the job Experience: •8+ years in product management, including at least 2 owning an enterprise infrastructure or security product end to end, with pricing and revenue accountability Required Skills: •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 •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 Qualifications: •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 •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 •Prior people management, or clear evidence of readiness for it •Operational 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 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!