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As an innovator at heart, you will rethink the way SOCs do security. Join the analytics research group to build our analytics module by defining detection use cases, data, and content. You will collaborate with an amazing team of researchers to protect our customers across multiple domains such as Cloud, Kubernetes, SAAS, and Email security while working on a startup-level product within the biggest security company to revolutionize the security market.
Key Responsibilities
Build a startup-level security product within a corporate environment, blending agility with enterprise resources to deliver cutting-edge solutions.
Explore how email threats evolve into Cloud, SaaS, Endpoint, and Network domains, developing detection mechanisms to counter complex attack vectors.
Gain expertise across diverse domains, including endpoint, cloud, and SaaS security, to foster a comprehensive understanding of the threat landscape.
Design advanced detection systems using machine learning and LLMs to identify and mitigate threats.
Simulate and analyze sophisticated attacks to anticipate and counter evolving threats.
Share insights with the security community through blogs, white papers, and conferences.
Collaborate with a skilled team to innovate and enhance security offerings across various domains.

We are looking for a Senior Production Engineer who thrives in high-scale, high-performance environments. In this role, you will design and manage mission-critical infrastructure, develop automation tools, and ensure the reliability and scalability of our platform. You will work closely with engineering teams to optimize performance, enhance observability, and prevent incidents before they happen.
If you love solving complex infrastructure challenges and building tools that empower engineers, this role is for you!
What Will You Do?
As a Senior Production Engineer, you will:
Design, build, and maintain a highly available, scalable, and resilient production infrastructure handling millions of requests per second.
Manage and optimize tens of AWS accounts in a multi-account cloud environment.
Developing AI-driven automation frameworks and tools that more than 400 R&D engineers use while enhancing system reliability and engineering efficiency.
Design, implement, and support the LLM and agentic workflow infrastructure, ensuring its scalability and reliability.
Manage thousands of servers and containers, ensuring seamless infrastructure operations.
Improve and maintain our logging, monitoring, and alerting stacks for enhanced observability.
Troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability.
Collaborate with engineering teams to optimize performance, reduce latency, and improve deployment processes.

Join a team of senior engineers operating in a large-scale, multi-cloud production environment supporting tens of thousands of enterprise customers worldwide. This is not a typical SRE role - youll work at the core of a complex, high-impact system alongside experienced DevOps professionals in a fast-paced, cybersecurity-focused organization.
Your Impact:
Own and operate large-scale, global production environments across multiple cloud providers (GCP, AWS, Azure)
Actively monitor, investigate, and resolve incidents triggered by automated alerting systems (PagerDuty / Incident Response)
Drive end-to-end troubleshooting across complex, distributed systems with high context switching
Design, deploy, and improve monitoring and observability systems (e.g., Prometheus, Grafana) - not just react to alerts
Collaborate closely with internal teams (CX, CS, Engineering) to ensure system reliability and performance
Work hands-on with modern DevOps and infrastructure tools including Kubernetes, Terraform, CI/CD pipelines, and GitOps workflows
Develop and maintain automation and tooling (primarily in Python)
Gain deep understanding of system architecture and interconnected services
Contribute to a culture of operational excellence in a high-scale, high-availability environment
On call responsibilities:
Daytime hours (12:00-20:00)
Occasional weekends and holidays (rotation-based).

Join a new initiative within the Cortex XDR agent group as an Infrastructure and internal tooling Software Engineer, focused on enhancing developer velocity and quality. You will be part of a task force developing end-to-end testing frameworks, innovating CI processes, and incorporating new tools to streamline development. This role is pivotal in improving processes and increasing the efficiency of our security R&D group. You will work with multiple stakeholders to build productive relationships and drive the team's success.
Key Responsibilities
Implement and manage an end-to-end Python testing framework for developers to run tests in development and CI.
Set up and maintain innovative CI/CD processes to streamline development and ensure high-quality software outputs.
Enhance developer productivity by contributing to initiatives that increase development velocity and reduce routine tasks.
Lower code to product CI/CD cycle time.
Collaborate with development, research, DevOps, and QA teams to align infrastructure projects with their requirements.
Continuously learn and adapt new technologies and tools to keep the development process efficient.

Were looking for a Data Scientist to join our R&D department!
Why is this role so important?
A data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.
So, what will you be doing all day?
Your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use.

The Cortex Cloud Data Security Posture Management (DSPM) product is responsible for helping customers understand what data they own, how that data is being used, and how to protect their most sensitive data from cyber attacks and compliance breaches. Data is always the target for attackers and is also one of the most important assets an organization owns today. Helping an organization understand their data footprint and security drives priority and helps impact the entire security program.
We are looking for a Senior Product Manager who can help us design, build and ship industry defining products to help cloud security and data security teams protect their organization's most valuable assets.
Your Impact
Build and launch enterprise class products throughout the entire product lifecycle - collect customers feedback and hear their need, prioritize features and trade offs, write the product requirements and work closely with engineering group to deliver the roadmap
Lead core pillars within Cortex cloud DSPM and grow them to new horizons by bringing innovative and disruptive approaches, and ensure that they can be effectively launched
Working effectively with all areas of the organization in a global company, from engineering to sales
Understand cloud and data security practitioners, often being able to directly relate to and understand use cases
Work closely with our customer success, marketing and sales teams on supporting existing customers, identifying common user problems and taking the solutions you define to market.

Required AI Engineer
Why is this role so important?
As an AI Engineer, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.
So, what will you be doing all day?
Design and develop LLM-based intelligent agents that can handle complex market research queries.
Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.
Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.

Were seeking a Director of Revenue Operations to lead and evolve our global Field Revenue Operations function. Sitting at the heart of the Go-To-Market organization, this role is responsible for building and scaling a best-in-class RevOps engine that drives predictable growth, operational rigor, and executive-level visibility across the entire revenue lifecycle.
This role reports directly to the VP of Revenue Operations and partners closely with Sales, Account Management, Finance, and Business Operations leadership worldwide.
What Youll Do:
Serve as a trusted strategic advisor to Sales and Business Operations leadership, translating GTM strategy into execution through data, insights, and operational discipline
Design, implement, and continuously refine Revenue Operations frameworks that align people, process, data, and technology across the full funnel
Lead weekly, monthly, and quarterly business reviews, providing clear visibility into pipeline health, performance trends, and execution risks
Define and govern KPI frameworks across the revenue lifecycle - including pipeline coverage, conversion rates, productivity, retention, and expansion - enabling proactive performance management
Drive end-to-end GTM optimization initiatives, spanning funnel efficiency, quota attainment, sales productivity, and territory or coverage models
Partner cross-functionally to embed AI-driven insights and automation into RevOps workflows, improving forecast accuracy, seller efficiency, and GTM scalability
Build, lead, and develop a high-performing global Revenue Operations team, fostering a culture of accountability, partnership, and continuous improvement
Establish clear priorities, success metrics, and development paths aligned with our long-term growth objectives.