Palo Alto Deal Desk Manager LATAM 

Brazil, São Paulo, São Paulo 

259778671

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.