

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As the Senior AI Engineering Manager, you will lead a talented team of 8 AI/ML engineers and data scientists based in India. You will be a critical leader within our global AI Enterprise Team, responsible for driving the technical vision, execution, and delivery of AI-powered solutions across Palo Alto Networks.
This is a hands-on leadership role where you will blend your deep technical expertise with your passion for mentoring and growing high-performing teams. You will partner closely with product managers, business stakeholders, and other engineering leaders to define the roadmap and deliver transformative AI initiatives. Your leadership will directly contribute to scaling our AI capabilities and embedding intelligence into the core of our business operations.
Your Impact
Lead and Mentor: Manage and grow a team of 8 direct reports, fostering a culture of innovation, collaboration, and engineering excellence. Provide technical guidance, career development, and mentorship.
Drive Technical Strategy: Define the technical roadmap and architecture for enterprise AI solutions, ensuring they are scalable, reliable, and aligned with business goals.
Execute and Deliver: Oversee the end-to-end lifecycle of AI/ML projects, from ideation and model development to deployment and operational support in a fast-paced, agile environment.
Collaborate and Influence: Work cross-functionally with teams across IT and the business to identify opportunities for AI, gather requirements, and ensure successful adoption of your team’s solutions.
Champion Best Practices: Establish and promote best practices for MLOps, data governance, model validation, and the ethical use of AI.
Your Experience
10+ years of experience in software engineering, with at least 5 years in the AI/ML space.
3+ years of formal people management experience, with a proven track record of building and leading high-performing engineering teams.
Strong technical background in machine learning, including experience with deep learning, NLP, predictive modeling, and data science.
Proficiency with common AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (e.g., Python).
Experience with MLOps principles and tools for building and deploying models at scale (e.g., Kubeflow, MLflow, Vertex AI, or similar platforms).
Familiarity with cloud platforms (GCP, AWS, or Azure) and data engineering technologies (e.g., BigQuery, Spark, Kafka).
Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
All your information will be kept confidential according to EEO guidelines.
משרות נוספות שיכולות לעניין אותך

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
You will contribute to customer engagements, assisting in the design and deployment of our security solutions. You will act as a technical contributor, providing input and guidance around complex systems to secure the customers environment. You will engage directly with our customers and partner with their technical teams. You are highly skilled and continuously learn. You enjoy solving complex problems and consistently look for innovative solutions.
Your Impact
Responsibilities:
Qualifications
As threats and technology evolve, we stay in step to accomplish our mission. You’ll be involved in implementing new products, transitioning from old products to new, and will fix integrations and critical issues as they are raised. But you won’t wait for them to be raised, you’ll seek them out, too. We fix and identify technical problems, with a pointed focus of providing the best customer support in the industry.
All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.
Responsibilities
Your Experience
All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.
Prisma Access™ combines the Internet connectivity/security you need - and delivers it everywhere you need it. Using cutting-edge public and private cloud technologies, it extends the next-generation security protection to all cloud services and to its customers regardless of whether they are on-premise, on remote networks or mobile users.
Experience:
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 $104000/YR - $169500/YR The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found
All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Identify, design, and advocate for opportunities for optimization, scalability, and/or automation
Manage and communicate optimization projects end to end
Maintain steady progress on open projects
Provide effective and frequent communication with cross functional teams and stakeholders of project progress
Consult with downstream cross functional teams for impact analysis of proposed projects
Manage complex, urgent, high visibility, or intricate issues and escalations
Design, build, and analyze reporting and data visualizations for monitoring data accuracy and integrity
Evaluate mass data analysis and updates of account information to increase data accuracy
Enforce data standards, policies, and processes
Execute regular and periodic data maintenance and validation activities
Your Experience
Ability to identify opportunities for optimization and process improvement
Ability to communicate, advocate for, and lead optimization projects
Ability to work cross functionally, especially with Sales Operations and IT
Ability to pick up new tools, platforms, and business processes and policies
Interest in the concerns and topics related to data maintenance and governance
Can execute tasks with high attention to detail and a commitment to accuracy
Organized, proactive individual that can operate independently in solving complex problems with little guidance
Strong interpersonal skills for internal collaboration
Skillfully manage requestor escalations through appropriate channels
3+Experience with SFDC is required
5+Experience working with Google Suite or similar platforms
Comfortable working in a fast-paced, dynamic work environment
All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Experience
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 $160 - $185/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.

Job Overview:
As a Senior Engineer at Arm you will own technical deliveries, with responsibility from requirements through to planning, implementation, and delivery.
Responsibilities:Administer and maintain GitLab environments, to provide a first-class engineering experience for Arm's hardware and software engineers:

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As the Senior AI Engineering Manager, you will lead a talented team of 8 AI/ML engineers and data scientists based in India. You will be a critical leader within our global AI Enterprise Team, responsible for driving the technical vision, execution, and delivery of AI-powered solutions across Palo Alto Networks.
This is a hands-on leadership role where you will blend your deep technical expertise with your passion for mentoring and growing high-performing teams. You will partner closely with product managers, business stakeholders, and other engineering leaders to define the roadmap and deliver transformative AI initiatives. Your leadership will directly contribute to scaling our AI capabilities and embedding intelligence into the core of our business operations.
Your Impact
Lead and Mentor: Manage and grow a team of 8 direct reports, fostering a culture of innovation, collaboration, and engineering excellence. Provide technical guidance, career development, and mentorship.
Drive Technical Strategy: Define the technical roadmap and architecture for enterprise AI solutions, ensuring they are scalable, reliable, and aligned with business goals.
Execute and Deliver: Oversee the end-to-end lifecycle of AI/ML projects, from ideation and model development to deployment and operational support in a fast-paced, agile environment.
Collaborate and Influence: Work cross-functionally with teams across IT and the business to identify opportunities for AI, gather requirements, and ensure successful adoption of your team’s solutions.
Champion Best Practices: Establish and promote best practices for MLOps, data governance, model validation, and the ethical use of AI.
Your Experience
10+ years of experience in software engineering, with at least 5 years in the AI/ML space.
3+ years of formal people management experience, with a proven track record of building and leading high-performing engineering teams.
Strong technical background in machine learning, including experience with deep learning, NLP, predictive modeling, and data science.
Proficiency with common AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (e.g., Python).
Experience with MLOps principles and tools for building and deploying models at scale (e.g., Kubeflow, MLflow, Vertex AI, or similar platforms).
Familiarity with cloud platforms (GCP, AWS, or Azure) and data engineering technologies (e.g., BigQuery, Spark, Kafka).
Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
All your information will be kept confidential according to EEO guidelines.
משרות נוספות שיכולות לעניין אותך