Company Description
Why Join Us
At Check Point, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. You’ll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
We’re proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets Check Point apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If you’re excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
As Head of Engineering, you will lead and scale engineering for our Red Teaming and Agentic Security products (including AI Guardrails), reporting to the VP R&D.
You'll set technical direction for the team, run delivery, and grow the engineering organization, while working closely with the VP R&D and product leadership on overall strategy and roadmap.
About Check Point AI Security
Check Point is a global cyber security leader, protecting more than 100,000 organizations worldwide. AI Security is one of Check Point's main strategic pillars.
AI Security operates as a dedicated business unit within Check Point, with its own product, engineering, and go-to-market organization, and direct visibility into company leadership.
The pillar is built on the foundation of Check Point's acquisition of Lakera, an AI-native security platform purpose-built to secure LLMs, generative AI, and autonomous agents, together with more acquisitions and teams across Tel Aviv and Zurich. Lakera's Zurich site is Check Point's global center for AI security research and development, and it's where our Zurich engineering team is based.
Through these acquisitions and the team's deep research and engineering expertise, Check Point has become a leader in AI security, delivering one of the industry's first end-to-end AI security stacks, covering applications and agents, across the full AI lifecycle.
Job Description
What You'll Do
Lead technical strategy and execution
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Define and drive the architecture and technical direction for Red Teaming and Agentic Security products
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Actively shape product strategy and roadmap, bringing a strong engineering perspective to business and product decisions
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Set and hold a high bar for quality and performance, working closely with product throughout development and deployment.
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Work with sales, customer success, and product to define and meet support and SRE SLAs.
Build and scale a world-class engineering organization
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Build and scale an engineering team that's recognized as world-leading in its field, with support from HR.
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Develop engineers and engineering managers, growing their skills, impact, and career trajectory.
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Build a culture defined by impact, autonomy, and innovation.
Align engineering with product and business goals
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Partner with the VP R&D and leadership to make engineering a driver of business outcomes, not just a delivery function.
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Ensure strong feedback loops between customers and engineering, partnering with product management and sales leadership.
Qualifications
What You'll Bring
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10+ years of engineering leadership experience, including at least 3 years leading managers and scaling teams
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Experience leading engineering teams in both startup and large-corporate environments.
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Experience building enterprise-grade AI and/or cybersecurity products, ideally both, with a strong grasp of the full development lifecycle.
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A track record of elevating an existing engineering team's output, culture, and technical bar, not just building one from scratch.
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Fluency in security and AI concepts, enough to earn credibility with senior engineers in this space quickly. You don't need to be a deep expert.
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Experience operating in a shared-ownership model, contributing strongly to strategy without sole authority
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Strong communication and people leadership: you build real relationships with customers, partners, and your own team.
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Familiarity with the Zurich tech market: hiring and compensation norms, local talent networks, and working culture.
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Strong advantage: experience navigating the tension between startup-style autonomy and large-company process, ideally through an acquisition, integration, or similar structural change.
