Sr Manager, Engineering (AI Runtime)

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Palo Alto Networks® - Sr. Manager, Engineering (AI Runtime) Job Offer

Company Description

At Palo Alto Networks®, we are driven by one mission: to be the cybersecurity partner of choice, safeguarding our digital way of life. We envision a world where every day is more secure than the last. We're built on a foundation of challenging the norm and disrupting traditional processes, and we’re searching for innovators committed to shaping the future of cybersecurity with us.

Our Approach to Work

We prioritize flexibility and choice in our people programs, breaking down the notion that one size fits all. We support personalization and empower our employees to choose what works best for them, from well-being support to growth and development. At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. Hence, our employees typically work from the office three days per week, allowing two days for flexible work environments. This dynamic fosters casual conversations, problem-solving, and building trusted relationships while encouraging an environment where innovation thrives.

Job Description

Your Career

Join us to build a career at the forefront of solving network security challenges with advanced machine learning on massive data scales. You will contribute to creating and delivering AI and Machine Learning solutions to detect and address network issues, uncover threats, provide intelligence, and protect devices.

At Palo Alto Networks, Sr. Managers of Engineering Are:

  • Deep Technical Experts: They accelerate the adoption of the best engineering practices and stay updated on industry innovations.
  • Visionaries: They meet critical business needs and are recognized as go-to resources in their domain.
  • Role Models and Mentors: They embody the best of Palo Alto Networks culture, tackling challenges as learning opportunities.
  • Effective Leaders: They communicate effectively with hands-on engineers and executives alike.

Your Impact

  • Contribute to crafting and implementing new features in network and security platforms.
  • Engage and collaborate actively within the network security community.
  • Drive industry technology evolution and create a positive business impact.
  • Create and deliver training materials.

Qualifications

Your Experience

  • Advanced degree (M.S. or Ph.D.) in Computer Science, Mathematics, Statistics, Electrical Engineering.
  • 10+ years of experience in Public Cloud, Data Engineering, and Analytics.
  • 4+ years of direct leadership experience.
  • Expertise in design, algorithms, and data structures with proficiency in languages like Java, Python, or Golang.
  • Proven leadership and collaboration skills, with experience delivering under tight deadlines.
  • Knowledge of developing services in cloud environments (Kubernetes), building data and analytics pipelines, and familiarity with Agile methodologies.
  • Excellent communication skills with an ability to influence across all organizational levels.
  • Self-driven, collaborative team player.

Additional Information

The Team

Our mission is to build the industry's best security large language model. Our engineering team is central to our products and directly linked to preventing cyberattacks. We constantly innovate and challenge the industry norms. We need individuals who thrive in ambiguity, are excited by challenges, and are empowered by securing our digital environment.

Our Commitment

We are trailblazers who dream big, take risks, and challenge the cybersecurity status quo. We cannot achieve our mission without diverse teams innovating together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you need assistance or accommodation, please contact us at [email protected].

Palo Alto Networks is an equal opportunity employer. We celebrate diversity and all qualified applicants will receive consideration for employment without regard to any legally protected characteristics. All information will be kept confidential according to EEO guidelines.

The compensation for this position will depend on qualifications, experience, and location. The starting base salary is expected to be between $190,400/yr and $250,000/yr, with the possibility of restricted stock units and bonuses. More information on our employee benefits can be found .