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Netskope

Director, Product Management, AI Innovation

Netskope is hiring a Director, Product Management, AI Innovation in Santa Clara, United States. It pays $154k-$313k a year and Level rates it ; you can apply on Netskope.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include vLLM, AI evaluation and AI research.
  • Level classifies it as an executive role.
  • Level lists 118 other open roles at Netskope.
  • The role was posted in the last few days.

AI in this role

vLLM
ai-evaluationai-research

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.

The successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions.

For all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement.

In addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at Netskope Benefits site.

Salary Range$154,000—$312,500 USD

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.

The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

How we rate this

Director, Product Management, AI Innovation at Netskope rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI EvaluationAI ResearchvLLM

Questions you could be asked

  1. How do you decide that one model's output is better than another's for a given task?
  2. Tell me about a research question you investigated. What did you find?
  3. What are the limits of vLLM that you've run into, and how did you work around them?
  4. How would you decide a model or AI system is ready to ship?
  5. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: AI Evaluation, AI Research, and vLLM. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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