Netskope
Director, Engineering, Agentic AI
Santa Clara, California, United States · Director
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About the role
- Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.
- With billions of daily signals in play, these agentic solutions quickly pinpoint potential risks in the sea of normal business behaviors.
- In this role, you will be the engineering leader for a fast-growing product suite that is deeply rooted in AI.
Responsibilities
- Netskope's AI SecOps team utilizes the latest in AI innovations to build agentic solutions that empower security operations professionals to effectively see, analyze, and take control of what's happening within their companies.
- Guide senior architects and mentor junior engineers to make strong architecture and design decisions that utilize the latest AI breakthroughs.
- Collaborate with our product team to promote engineering innovation and out-of-the-box thinking, utilizing both to make strategic decisions on prioritizing feature delivery and timelines.
- Master the rapidly evolving AI landscape and distill complex research into actionable strategies that enable our team to pivot, adopt new paradigms, and maintain a competitive edge.
- You will lead a robust technical team that is AI-native and running at high velocity.
- Architect the Future: Guide senior architects and mentor junior engineers to make strong architecture and design decisions that utilize the latest AI breakthroughs.
- Set the Strategy: Collaborate with our product team to promote engineering innovation and out-of-the-box thinking, utilizing both to make strategic decisions on prioritizing feature delivery and timelines.
- Relentlessly Learn: Master the rapidly evolving AI landscape and distill complex research into actionable strategies that enable our team to pivot, adopt new paradigms, and maintain a competitive edge.
Nice to have
- Inspirational leadership capable of maintaining high energy and high velocity within the team
- Deep understanding of AI and agentic technologies
- Direct experience coding using AI agents and leadership experience guiding teams to use AI agents for R&D
- Experience collaborating with globally distributed teams, reaching consensus, and driving execution as a team player
- Strong verbal and written communication skills
- Ability to thrive in a fast-paced and rapidly evolving environment
- BSCS or equivalent is required, with an MS in CS or engineering equivalent strongly preferred
Skills
- Join the Future of Security at Netskope
- Netskope (NASDAQ:
- NTSK) is a leader in modern security and networking for the cloud and AI era.
- At Netskope, our technology is driven by our greatest strength:
- Visit Careers at Netskope to learn more.
- Follow us on LinkedIn and Instagram.
Compensation
- $154,000 - $312,500 USD
- At Netskope, salary is one component of our competitive total rewards package.
- The salary range for this position is as listed below.
- 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.
Company info
- 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.
- Participate in discussions with customers to help shape the decisions you make from both an engineering and product perspective.
- Advocate for Customers: Participate in discussions with customers to help shape the decisions you make from both an engineering and product perspective.
This listing is sourced directly from Netskope's careers page and normalized into a canonical job model.