Join the Future of Security at Netskope

Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.

At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.

Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.

About the role

We are seeking a visionary Director of Product Management to serve as the chief product officer of technical strategy, bridging the gap between cutting-edge AI research and enterprise-scale business impact. Leveraging our deep expertise in AI/ML and security, you will lead the architecture and deployment of large-scale, production-grade AI/ML solutions for our Secure Access Service Edge (SASE) architecture.

What’s in it for you

This is a highly impactful leadership opportunity to shape the AI transformation of a market-leading cloud security company. A successful candidate will serve as a primary technical and strategy pillar for the organization, possessing deep technical expertise in applying AI/ML technologies to complex security applications. You will have the platform to build a scalable 'AI Engine', working alongside top-tier engineers, researchers, and machine learning scientists to solve the industry's most challenging AI latency, scalability, and cloud security problems today.

What you will be doing

Define the AI Transformation Roadmap: Drive the overarching AI/ML technical strategy, ruthlessly prioritizing architectural choices to ensure highly scalable, reliable, and production-grade systems.
Define and Bring to Market Production-Grade Inference Systems: highly scalable AI/ML inference systems, leveraging the latest LLM serving technologies such as vLLM, SGLang, and advanced KV Cache optimization to maximize throughput and minimize latency.
Lead the End-to-End AI Lifecycle: Collaborate with ML scientists, engineers, and executive stakeholders to define and execute complex business requirements into industrialized enterprise solutions.
Establish Rigorous AI Evaluation: Create strict 'Report Cards' for AI models in production, ensuring models are robust, scalable, and well-documented by measuring accuracy, latency, and security relevance before deployment.

Required skills and experience

12-15+ years of industry experience (or equivalent combination of an Advanced management degree + experience) in defining and bringing to market AI/ML solutions on large-scale security products or services.
Fluency in the modern AI stack with proven experience with cutting-edge LLMs in production environments, with deep knowledge of vLLM, SGLang, and KV Cache optimization.
Ability to translate complex technical requirements concepts between CXOs, non-technical stakeholders, and Data Scientists.
Energetic self-starter with a true startup spirit, demonstrated ability to influence without authority, and the willingness to wear multiple hats to deliver end-to-end solutions in a dynamic, fast-paced environment.

Education

Advanced technical degree in Computer Science, Electrical Engineering with MBA or equivalent experience.

Compensation:

At Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states.