

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
In this role, you will be an integral part of a group of Software and ML engineers that continuously surveys petabytes of data to find risks online and protect some of the world's most important and relied upon organizations from malicious software and hackers. You will directly contribute to our mission by building AI/ML systems that increase the effectiveness of our security products, and you will directly work with stakeholders to define, design and implement improvements to our software.
Your Impact
Prototype, build, and improve AI systems and ML models, including large language model (LLM) and generative AI applications, to automate and enhance team workflows
Strengthen infrastructure for data ETL, model training and lifecycle, MLOps, batch and real-time processing, and inference
Mentor and coach other ML engineers on developing, fine-tuning, and evaluating both traditional and generative AI models
Work directly with security professionals who use your software and AI systems every day to help them be more effective and improve the quality of their work
Develop feature engineering, data pipelines, and transformations to deliver reliable data for model training and LLM inference
Measure and refine model performance through metrics-driven evaluations and continuous experimentation
Deliver, monitor, and continually improve secure AI and ML systems in production, including LLM-powered tools and automation features
Your Experience
Experience with Python including delivering production-quality code and debugging in a production environment
Expertise in one or more of:
MLOps expertise (e.g. Feature Store, Model Serving, Model Monitoring)
Data Engineering expertise (e.g. Airflow, Apache Beam, Dataflow, SQL)
Designing and building applications powered by LLMs and generative AI (for example: retrieval-augmented generation, intelligent search, entity linking, summarization, conversational interfaces, automated reasoning, and code understanding)
Applying modern AI techniques including LLMs, embeddings, fine-tuning, and prompt engineering, using frameworks such as Hugging Face Transformers, LangChain, OpenAI API, and PyTorch
Experience operating ML systems in production environments
Conceptual thinking and creativity; you demonstrate an ability to consider various techniques to solve different modeling problems we face
Ability to collaborate and to convey complex technical concepts to both technical and non-technical stakeholders
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 $157,200 - $254,100/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.
ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื

Being the cybersecurity partner of choice, protecting our digital way of life.
done, and weโre looking for innovators who are as committed to shaping the future of
integrity to creating an environment where we all feel included.
As a member of our team, you will be shaping the future of cybersecurity. We work fast,
we all have different needs, our development and personal wellbeing programs are
designed to give you choice in how you are supported. This includes our FLEXBenefits
mental and financial health resources, and our personalized learning opportunities - just
Your Career
The group develops and maintains the backend of Cortex products - Cortex XSOAR,
Cortex XDR, and Cortex XSIAM. You will join a team focused on developing, innovating,
and scaling the Cortex Platform, along with contributing to shared Cortex
Your Impact
End-to-end backend development of features and components across their entire
life cycle (design, develop, test, deploy, maintain)
solutions and integrate with other parts of the product
architectural decisions
Production oriented approach with providing real time mitigation and solutions to
production issues
Your Experience
M.S/B.S degree in Computer Science or equivalent and 8+ years of software engineering experience, including development of a scalable server-side application
Extensive hands-on programming skills in Go and/or Python
Strong computer science fundamentals (e.g. understanding of lock-free data structures, bloom filters, minimal perfect hashing, consistent hashing etc)
Proven Experience with cloud platforms (e.g. GCP / AWS / Azure)
Experience with Microservices architecture (Kubernetes, GKE, EKS, AKS, Docker, Serverless, etc)
Experience with bigโdata architectures (using Kafka, Splunk, Flink, etc)
Experience with distributed computing (understand implications of CAP theorem, master election, brain split problem) and/or distributed DB/KVP (BigQuery, Elastic Search, Kafka and SingleStore)
Hands-on experience with SQL/NoSQL based databases
Experience working in an agile and dynamic environment High energy and the ability to work in a fast-paced environment with a can-do attitude
Familiarity with CI/CD pipelines and cloud infra
Familiarity with Cyber Technologies, Information Security, and Software Security
[Input by recruiter and audited by recruiting specialist]
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 $140000 - $230000/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.
ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
You will center your role on relationship management to achieve measurable results in increased revenue, market share, and depth within each partner sales team at the assigned Partner Accounts. Your success in this role will span the creation and execution of unique business plans with each potential partner. Youโll be measured primarily on the joint business executed with these strategic partners at an international level, working at the heart of the VAR, GSI & MSSP account teams. You will be collaborating with a variety of internal stakeholders including Global / International Account Directors.
Your focus will be to drive enhanced alignment between the sales teams at PAN+Partners, as well as driving execution with excellence across account planning and pipeline management on all joint opportunities.
Your Impact
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 $650000/YR - $893000/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.
ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
The LATAM Income Tax Manager will have in-depth knowledge of relevant tax rules, will monitor tax law developments and provide updates on current and upcoming global, regional (LATAM specific), and country-specific legislation, regulations, directives, administrative rulings, and case law.
Your Impact
Skills and Experience
All your information will be kept confidential according to EEO guidelines.
ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As a Managing Director within Unit 42, you will play a key leadership role in driving the growth, delivery, and innovation of our cybersecurity consulting services across LATAM. This includes both incident response and digital forensics engagements, as well as proactive services such as assessments, security program transformation, and cyber risk management.
Your Impact
What Weโre Looking For:
Qualifications & Experience:
All your information will be kept confidential according to EEO guidelines.
ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Your Experience
All your information will be kept confidential according to EEO guidelines.
ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Your Experience
All your information will be kept confidential according to EEO guidelines.
ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
In this role, you will be an integral part of a group of Software and ML engineers that continuously surveys petabytes of data to find risks online and protect some of the world's most important and relied upon organizations from malicious software and hackers. You will directly contribute to our mission by building AI/ML systems that increase the effectiveness of our security products, and you will directly work with stakeholders to define, design and implement improvements to our software.
Your Impact
Prototype, build, and improve AI systems and ML models, including large language model (LLM) and generative AI applications, to automate and enhance team workflows
Strengthen infrastructure for data ETL, model training and lifecycle, MLOps, batch and real-time processing, and inference
Mentor and coach other ML engineers on developing, fine-tuning, and evaluating both traditional and generative AI models
Work directly with security professionals who use your software and AI systems every day to help them be more effective and improve the quality of their work
Develop feature engineering, data pipelines, and transformations to deliver reliable data for model training and LLM inference
Measure and refine model performance through metrics-driven evaluations and continuous experimentation
Deliver, monitor, and continually improve secure AI and ML systems in production, including LLM-powered tools and automation features
Your Experience
Experience with Python including delivering production-quality code and debugging in a production environment
Expertise in one or more of:
MLOps expertise (e.g. Feature Store, Model Serving, Model Monitoring)
Data Engineering expertise (e.g. Airflow, Apache Beam, Dataflow, SQL)
Designing and building applications powered by LLMs and generative AI (for example: retrieval-augmented generation, intelligent search, entity linking, summarization, conversational interfaces, automated reasoning, and code understanding)
Applying modern AI techniques including LLMs, embeddings, fine-tuning, and prompt engineering, using frameworks such as Hugging Face Transformers, LangChain, OpenAI API, and PyTorch
Experience operating ML systems in production environments
Conceptual thinking and creativity; you demonstrate an ability to consider various techniques to solve different modeling problems we face
Ability to collaborate and to convey complex technical concepts to both technical and non-technical stakeholders
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 $157,200 - $254,100/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.
ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื