Sr Manager Software Engineering (AIOps)

Your Career

You will have the opportunity to build a career solving network security and operations challenges leveraging advanced machine learning techniques on exabytes of data. You will help create and deliver the most advanced AI and Machine Learning enabled solutions to detect and remediate network issues, discover problems, provide insights and protect devices.

At Palo Alto Networks, Sr. Manager of Engineering are

• Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
• Visionaries who deliver on critical business needs and are recognized across the company as go-to engineering resources on given domains
• Role models and mentors who exemplify the best of Palo alto Networks culture - They do the right thing even when it’s hard, treat challenges as a chance to learn and provide honest opinions so the team can improve
• Leaders who can communicate cogently with hands-on engineers as well as executives

Your Impact

• You will work in a fast paced team to create and deliver new product and mission features to the network and security platform that many customers use on a daily basis
• You will actively engage and contribute to the network security community through collaborations
• You will be part of the team that is leading and driving industry technology evolution in and creating a positive impact on business
• Design and development of workflow frameworks using AI/ML, with result collection and visualization, monitoring tools
• Creation and delivery of training materials

Your Experience 

• 8+ years industry experience in Machine Learning techniques and data analytics
• 4+ years direct people leadership experience
• 8+ experience in design, algorithms and data structures - Expertise with one or more of the following languages is must - Java, Python, Golang
• Proven leadership skills with an ability to deliver under tight deadlines
• Proven ability to collaborate with many cross-functional teams including Product Management and Design teams with an emphasis on end-to-end delivery
• Proven track record in solving difficult real world problems by applying Machine Learning techniques
• Experience with deep learning frameworks such as PyTorch and TensorFlow, NLP, Large Language Models, Generative AI, Langchain, Transformer models or related areas is a big plus
• Experience with LLaMA is a big plus
• Thorough understanding of ML Ops best practices, ability to design, test, measure algorithms/models and orchestrate - Experience working with Google Vertex AI platform will be a plus
• Excellent communication skills with the ability to influence at all levels of the organization
• A self driven individual contributor and an excellent team player
• M.S. or Ph.D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required

The Team

We are on a mission to build the industry's best Security large language model.

Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before.

We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $194000 - $275,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Relocation is not offered at this time. 

Our Commitment

We’re problem solvers that 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  [email protected].

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?: Yes