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Netskope

Data-centric cloud security for enterprises

Director of Product Management - AI Innovation

Technical Product ManagementPosted on Nov 12
Full-timeSanta Clara, CA, USAIn-person

About the Job

Requirements

  • 12–15+ years of industry experience, or an equivalent combination of an advanced management degree and experience, defining and bringing to market AI/ML solutions on large-scale security products or services.
  • Fluency in the modern AI stack, with proven experience using cutting-edge large language models in production environments and deep knowledge of vLLM, SGLang, and KV Cache optimization.
  • Ability to translate complex technical requirements and concepts among C-level executives, non-technical stakeholders, and data scientists.
  • Ability to influence without authority and deliver end-to-end solutions in a dynamic, fast-paced environment.
  • Advanced technical degree in Computer Science or Electrical Engineering, with an MBA or equivalent experience.

Responsibilities

  • Define the AI/ML technical strategy and transformation roadmap, prioritizing architectural choices to ensure scalable, reliable, production-grade systems.
  • Define and bring highly scalable AI/ML inference systems to market, using large language model serving technologies such as vLLM and SGLang and advanced KV Cache optimization to maximize throughput and minimize latency.
  • Collaborate with machine learning scientists, engineers, and executive stakeholders to translate complex business requirements into industrialized enterprise solutions across the AI lifecycle.
  • Create rigorous report cards for production AI models, documenting robustness, scalability, accuracy, latency, and security relevance before deployment.

About the Company

Netskope

Data-centric cloud security for enterprises

Netskope provides cloud security solutions for large enterprises, helping them secure data and protect against threats in cloud environments. It offers a cloud security platform with real-time data and threat protection, secure access service edge (SASE) capabilities, and advanced threat detection and response; all delivered through a subscription model. How it works: the platform continuously monitors cloud services and data traffic, enforcing security policies directly where data lives, and providing real-time protection and threat response across the cloud, network, and apps. How it differs from competitors: it emphasizes a data-centric approach—protecting the data itself in cloud environments—along with cloud-native, real-time protection and a comprehensive SASE bundle, aimed at large organizations undergoing digital transformation. Its goal is to redefine cloud, network, and data security for enterprises by enabling secure and seamless digital transformations.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2012

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