AI Security - AI Platform Team Lead
Cato Networks · Tel Aviv District, Israel
Posted about 3 months ago
or apply directly on Cato Networks's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Cato Networks's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 7% of Cato Networks's roles list one
- Ghost-job risk at Cato Networks
- high 100 stale, 6 reposted of 102 open
- Hiring momentum
- 167 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Cato Networks's own greenhouse board since 2026-08-03. Full hiring picture for Cato Networks.
About this role
The AI Platform Team Lead at Cato Networks will be responsible for building and leading a team focused on developing a real-time AI runtime platform for security algorithms. This role involves overseeing the AI security runtime platform's performance, reliability, and orchestration, as well as managing the model lifecycle from research to production. The position requires collaboration with research and algorithm teams to ensure effective deployment and operation of AI security models at scale.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Cato Networks as an employer.
What you need
- 3+ years of leadership experience as a team lead, tech lead, or engineering manager
- 3+ years of hands-on experience in AI inference, production ML infrastructure, model serving, or AI runtime platforms
- Strong experience with production inference technologies such as Triton, vLLM, CUDA, Kubernetes, Docker, PyTorch, ONNX, TensorRT, or similar
- 3+ years of experience with Go, or strong experience with a similar high-performance backend language such as C++, Rust, or Java
- Experience with performance optimization, scalability, observability, and SLO-driven production ownership
- Strong system design skills, especially around distributed systems, performance, reliability, and production infrastructure
Nice to have
- Experience with GPU optimization, GPU scheduling, GPU resource efficiency, quantization, runtime acceleration, or large-scale model serving
Worth weighing
- No salary listed
- Role involves high responsibility with ownership of core infrastructure
- Focus on AI security may require staying updated with rapidly evolving technology
Summarised from Cato Networks's posting. Read the full original.
Listed by Cato Networks on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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