Office - Israel - Petach Tikva
Live, first seen by us 21 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Please note that we will not sponsor applicants for work visas for this position
Lead, scale and mentor managers and engineers across data, MLOps and architecture
Own end-to-end engineering of data ingestion, feature pipelines, model hosting and inference
Set the technical blueprint for generative AI, agentic frameworks and RAG with architects
Direct build-out of automated, secure MLOps infrastructure with monitoring and drift detection
Align group roadmap with Product, Threat Research and Security Operations
Lead, scale, and mentor a high-performing engineering group
Own the end-to-end engineering lifecycle for our AI and data ecosystem
Partner closely with Data and AI Architects to set the technical blueprint for generative AI, agentic frameworks, retrieval-augmented generation (RAG)
Direct the implementation of automated, secure, and cost-effective MLOps infrastructure
aligning group roadmaps with company-wide strategic bets
Proven Leadership Track Record: 5+ years of direct engineering management experience, with at least 2–3 years managing other managers or multi-team groups (Group Manager, Director, or equivalent) within complex R&D environments.
Hands-on familiarity with native cloud AI suites (e.g., AWS Bedrock/SageMaker, GCP Vertex AI, Azure OpenAI Service).
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life.
In the employer’s words · Read in context
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Day 21
Similar jobs usually come down between day 8 and day 57.
At Palo Alto Networks, jobs usually come down by about day 40.
From 9,538 similar postings that came down, and 48 of Palo Alto Networks’s. Coming down is not always a hire.
36 open jobs
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- MLOps & Platform Scale: Demonstrated success designing and operating production-scale MLOps platforms, CI/CD for AI, model registries, automated evaluation benchmarks, and low-latency inference serving. - Cloud Architecture & Infrastructure: Strong architectural fluency with major public cloud ecosystems (AWS, GCP, or Azure), containerization (Kubernetes, Docker), and distributed compute/data technologies (e.g., Spark, Kafka, Snowflake, Databricks, Ray). - Execution & Organizational Maturity: Proven ability to balance long-term architectural investments with short-term business deliverables, managing multiple parallel workstreams with transparent governance and numerical KPIs.
- Deep practical knowledge of modern GenAI frameworks and protocols (e.g., LangChain, LlamaIndex, Model Context Protocol (MCP), Vector databases, and fine-tuning techniques). - Hands-on familiarity with native cloud AI suites (e.g., AWS Bedrock/SageMaker, GCP Vertex AI, Azure OpenAI Service). - Active engagement with the broader AI engineering or research community (open-source contributions, technical publications, or speaking engagements).
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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
You will own the foundational data platforms, operational machine learning lifecycle (MLOps), and enterprise-grade AI architectural patterns that power next-generation security intelligence, Agentic workflows, and predictive cyber defenses across Palo Alto Networks products. As a manager of managers and technical vision holder, you will bridge cutting-edge AI research and robust enterprise-scale software engineering, translating complex business objectives into production-grade AI platforms with measurable impact.
Your Impact
Qualifications
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.Selected passages from the saved posting. Check the full description for conditions and exceptions.
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Office - Israel - Petach Tikva
Working pattern and location restrictions need checking in the full posting.
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.