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Code & AI Security Research Manager (Cortex Cloud) Tel Aviv, Tel Aviv 01/26/2026

Palo Alto Networks

Code & AI Security Research Manager (Cortex Cloud) Tel Aviv, Tel Aviv 01/26/2026

Palo Alto Networks

tel aviv

·

On-site

·

Full-time

·

2w ago

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary As the Code & AI Security Research Manager, you will lead an elite team in redefining trust for an era of agentic automation and hyper-connected supply chains. You will serve as a technical lighthouse and strategic leader, managing a high-performance team to secure the core of modern engineering. Your mission is to bridge deep technical research with product innovation, ensuring our customers' security posture evolves faster than the way they build software. Key Responsibilities - Lead, mentor, and empower a team of world-class security researchers to pioneer AI-native security strategies. - Define the vision for identifying and mitigating novel attack vectors targeting coding agents and autonomous development workflows. - Oversee the evolution of traditional code vulnerabilities into proactive, self-healing workflows that fix issues before they reach a pull request. - Drive deep-dive research into software supply chain vulnerabilities, including CI/CD pipeline risks and third-party package security. - Proactively collaborate with Product and Engineering leaders to integrate research findings into core platform detection and remediation logic. - Establish the team as a global thought leader by overseeing original research publications, influential blog posts, and conference presentations. Qualifications Required Qualifications - 2+ years of experience in technical leadership or people management, with a proven track record of directing high-impact security research projects. - 6+ years of professional experience in application security research, focusing on the security of modern software architectures. - Proven expertise in building AI-powered security solutions or securing AI-driven systems. - Strong understanding of modern software supply chain risks, including CI/CD exploitation and malicious package detection. - Hands-on expertise in both offensive and defensive security, with the ability to translate research into robust product defenses. - Strategic mindset with the ability to navigate the fast-moving AI security landscape and translate complex research into a clear product roadmap. Preferred Qualifications - Previous experience in a security product company, translating research into scalable product features and detection logic. - Experience leveraging big data platforms (e.g., GCP BigQuery, AWS Athena) to validate security research at scale. - Proficiency in multiple programming languages (e.g., Python, Go, JavaScript) and their pitfalls in AI-generated code. - A portfolio of public-facing work such as CVEs, whitepapers, or talks at major global security conferences. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

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About Palo Alto Networks

Palo Alto Networks

Secure the enterprise.

10,001+

Employees

Santa Clara

Headquarters

Reviews

3.2

4 reviews

Work Life Balance

3.5

Compensation

3.0

Culture

2.5

Career

3.5

Management

2.0

35%

Recommend to a Friend

Pros

Better work culture than some competitors

Higher compensation packages

Strong stock performance and growth

Cons

Poor recruiting and hiring process

Offer rescission issues

Lack of communication clarity

Salary Ranges

14 data points

Mid/L4

Mid/L4 · DATA VISUALIZATION ENGINEER

1 reports

$179,361

total / year

Base

$137,970

Stock

-

Bonus

-

$179,361

$179,361

Interview Experience

6 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 17%

Neutral 66%

Negative 17%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

System Design Round

6

Final Interview/Team Matching

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR

Past Experience