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Our engineering team is at the core of how modern data security is built. We are redefining how organizations understand and protect their most sensitive data in a world of growing scale, speed, and complexity. By combining high-performance systems with intelligent, AI-driven capabilities, we challenge traditional approaches and push the boundaries of what data classification can achieve.
Were looking for engineers who thrive in open-ended environments, are energized by hard problems, and are motivated to build solutions that dont yet exist. This role is about more than writing code. Its about shaping how intelligent systems detect, interpret, and protect data across cloud and endpoint environments.
In this role, you will play a central part in designing and building a core classification engine that powers multiple security solutions across the platform. Your work will directly influence how different products identify risk, enforce protection, and operate at scale. Youll work at the intersection of large-scale systems and applied AI, turning raw signals into accurate, reliable insights that help customers secure their data with confidence.
Key Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products.
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments.
Lead technical design discussions and influence architecture for large-scale data processing systems.
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions.
Solve complex engineering challenges related to scale, performance, reliability, and operations.
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices.
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes.

Product Marketing is the connective layer between Product, Sales, and Customer Success-we own how Empathy goes to market. As we scale across enterprise partnerships, new markets, and product areas, were looking for a Product Marketing Manager to take our go-to-market work from brief to finished asset, with speed and quality.

This is a hands-on, build role. Youll write the decks, develop the messaging, and produce the materials our field teams rely on to win deals and support partners, working in close partnership with Sales.

In this role you will
Build sales and partner-facing collateral: Develop the decks, one-pagers, messaging frameworks, and launch materials Sales and Customer Success reach for-assets designed to get used in the field, not just delivered.
Translate product into buyer language: Turn complex product capabilities into clear, customer-centric narratives that resonate across Empathys B2B audiences-insurers, financial institutions, and employers.
Drive product and feature launches: Own launch materials end-to-end, coordinating across Product, Design, and the broader marketing team to ship on time and on message.
Enable the field: Equip Sales and CS with positioning, talk tracks, and training materials that support revenue targets-and refine them based on how they land in real deals.
Partner cross-functionally: Work naturally with Sales, CS, Product, and Design as collaborative partners-low friction, high follow-through.
Stay close to the market: Gather feedback from the field, partners, and competitive signals to sharpen positioning and flag early whats working and what isnt.

We are looking for a Security Researcher to join our Windows EDR behavioral detection team. You will create statistics-based classification algorithms to detect new malware, process behavior anomalies, and attackers in enterprise networks using data from multiple Windows endpoints. This involves analyzing attack patterns, finding statistical anomalies, and validating detections against real attacks and APTs on customer data.
Key Responsibilities
Research new methods to detect various attack techniques by utilizing enormous amounts and varied types of data.
Use and develop statistical algorithms and techniques to create and improve our analytics detection capabilities.
Take an active role in our collection modules by improving existing ones and investigating new ones to improve detection quality.
Simulate attacks in the lab and conduct a deep analysis of the behavior.
Be part of a diverse research group, improving our research processes to create a better product.
Stay up to date with APTs, attacker methodologies, and TTPs.

we are seeking a Senior Product Manager for the Cortex Platform to drive the core components of its industry-leading cloud security portfolio, including XSIAM, XDR, XSOAR, AgentiX, and Cortex Cloud.
In this role, you will own the entire product lifecycle, from understanding customer needs and defining product requirements (including prioritization and trade-offs) to partnering with global engineering teams to deliver impactful solutions. You'll lead cross-functional initiatives that address complex, high-impact challenges, such as scaling multi-tenancy for enterprise customers, improving detection analytics, and building the platform foundation that enables Agentic AI to autonomously defend global enterprises.
You'll collaborate closely with engineering, research, UX, sales, marketing, and product enablement teams to deliver enterprise-grade, cloud-scale capabilities while evangelizing the Cortex Platform to both internal and external stakeholders.
This is an opportunity to make a significant impact by helping secure some of the world's most critical digital assets within one of the fastest-growing cybersecurity organizations.
At our company, we're not just building products - we're revolutionizing cybersecurity. As the Senior Product Manager for Cortex Platform, you'll lead our mission to secure the world's digital transformation. If you're ready to lead the charge in revolutionizing cloud security, we want to hear from you.
Why Cortex?
Market Leader - Join the fastest-growing cloud security platform, trusted by many customers worldwide
Innovative Culture - Work alongside some of the brightest minds in cybersecurity, constantly pushing boundaries
Massive Impact - Protect the world's most critical digital assets and shape the future of cloud security
Rapid Growth - Be part of a team that's scaling at an unprecedented rate, with abundant opportunities for career advancement
Your Impact
The Cortex Platform team develops the foundation that power the entire Cortex product portfolio, including XSIAM, XDR, AgentiX, and Cortex Cloud.
As a Senior Product Manager, you will:
Own features throughout the entire product lifecycle-from customer discovery and feedback collection to prioritization, requirement definition, roadmap execution, and successful delivery.
Gather customer requirements and balance priorities through thoughtful product trade-offs.
Write clear product requirements and work closely with engineering teams to deliver high-quality solutions.
Collaborate across product, engineering, research, UX, and other cross-functional teams in a global organization.
Deliver enterprise-grade, highly reliable, cloud-scale platform capabilities that customers trust.
Partner with product enablement, marketing, and sales teams to evangelize the platform through product demos, presentations, and customer engagements.
Lead cross-company initiatives that require alignment across multiple teams to build foundational platform capabilities.
Solve complex technical and business problems that impact the broader Cortex ecosystem.

Get ready to shape the future of software development at Palo Alto Networks! You'll be joining a pioneering team building our revolutionary, internal agentic AI tool. This isn't just another product; it's our solution for increasing developer productivity through advanced vibe coding using state-of-the-art LLM models.
We are developing an enterprise-grade, high-scale platform, designed to be used by thousands of our own engineers. We are looking for a tech-savvy and innovative developer who is excited to build the generative AI-powered tools that will define our next generation of engineering.
Key Responsibilities
Drive the development of sophisticated, AI-powered features end-to-end, from ideation and technical design to seamless deployment in production.
Architect and implement hyper-scalable solutions on GCP capable of supporting thousands of developers, ensuring enterprise-grade quality and reliability.
Obsess over the developer experience, passionately enhancing the user experience (UX) of the product's features to create an intuitive and powerful tool.

Design, build and maintain our full product suite, including backend services, mobile applications, and web products.
Work with engineers, product managers, and designers to craft world-class experiences and participate in all aspects of the project lifecycle.
Take part in the early stages of the product and help set the groundwork for the future of the engineering team and the company.

Design, build, and maintain our full product suite, including backend services, mobile applications (React Native), and web products.
Lead development of high-quality, performant cross-platform mobile experiences while ensuring strong integration with backend and web systems.
Contribute to architectural decisions, code quality standards, and long-term scalability across mobile and web platforms.
Mentor and support other engineers through code reviews, technical guidance, and close collaboration.

We're looking for a Marketing Automation Lead to join Mami's growth team and lead the design and execution of end-to-end customer journeys. You'll bring our Customer Experience vision to life - creating personalized, multi-channel flows that drive engagement, retention, and revenue, while setting the standard for marketing excellence at Mami.
Your main focus will be Email, SMS, and WhatsApp flows, with opportunities to collaborate with Product, Content, and data teams as Mami continues to scale. This is a rare opportunity to shape both the Customer Experience and marketing culture of an early-stage, community-driven startup.
What Youll Do
* Take full ownership of the Marketing Automation platform - optimize templates, manage audiences, integrate data, and monitor deliverability.
* Build and manage multi-channel customer journeys across Email, SMS, and WhatsApp with personalization, triggers, and A/B testing.
* Map end-to-end journeys from sign-up to retention and win-back, including segmentation and dynamic content.
* Analyze results using GA4, attribution, cohort analysis, and LTV metrics to inform strategy.
* Lead briefs for copy and design, craft action-driven microcopy, and adapt content to target audiences.
* Collaborate effectively across teams to ensure smooth delivery and execution.

We are developing products and intelligence solutions in the Cyber and IoT domains.

As a Senior Backend Engineer, you will design and implement backend services, lead architectural decisions, collaborate with cross-functional teams, and mentor junior developers. You will take ownership of complex tasks, manage project flows within your squad, and bring strong technical opinions and architectural insights.

The role requires excellent multitasking skills, strong context-switching ability, and a proactive, mission-driven mindset.

Responsibilities

Design, develop, and maintain scalable backend services and microservices.
Lead and participate in architectural planning, proposing high-quality solutions and improvements.
Work closely with product, frontend, DevOps, and data teams to deliver end-to-end features.
Break down complex tasks, manage project execution within the team, and ensure on-time delivery.
Mentor junior engineers and support onboarding of new team members.
Write clean, maintainable, well-tested code following industry best practices.
Develop integrations with various internal and external systems using diverse interface protocols.
Maintain ownership of features from design through deployment and ongoing operation.

We are looking for a senior researcher to focus on vulnerability research and exploitation in embedded environments.

In this role, you will research proprietary technologies and analyze complex IoT and embedded devices.

You will be responsible for taking your research from initial discovery to a full end-to-end solution in production.

We are looking for talented, fast learners to work on vulnerability research and exploitation in embedded and IoT environments. This role is ideal for researchers with strong low-level backgrounds who want to deepen their expertise in IoT and embedded systems security while working on real-world, complex technologies

You will analyze proprietary software and hardware, apply a deep understanding of low-level systems, and take your research from initial discovery to a full end-to-end solution in production.

Your Career:
You will join the Platform Automation group, the central engine driving the next generation of security operations. Our team owns the foundational automation
layer of the Cortex Platform. We are responsible for the Automated Remediation capabilities that unify detection, investigation, and response across the entire Cortex suite, including XSIAM, XDR, and XSOAR, and Cortex Cloud.
As a Senior Software Engineer, you will be a high-impact technical contributor responsible for developing and scaling our automation ecosystems. This role requires an engineer who can translate emerging LLM capabilities into production-grade reliability. You will work on the technical foundations that enable autonomous security workflows, ensuring our platform is robust and compatible with the evolving Agentic AI landscape.
Your Impact
As a Senior Software Engineer, you will create simple solutions to complex problems and drive technical excellence.
End-to-End Ownership: Take full responsibility for features from inception to production, including negotiating requirements and scope with Product Managers and performing comprehensive QA/validation for your own deliverables.
Scalable Engineering Standards: Implement high-quality technical standards for the platforms automation ecosystem, utilizing advanced CI/CD governance and robust telemetry to track execution health.
Codebase Adaptability: Demonstrate the ability to quickly gain proficiency in unfamiliar, complex codebases and contribute high-quality code across different repositories and tech stacks.
AI Production Fluency: Architect end-to-end AI pipelines and design, tune, and orchestrate autonomous agentic models, keeping in mind limitations like atency, hallucinations, and determinism, seamlessly embedding advanced cognitive capabilities into scalable production systems.
Prototyping & Integration: Proactively take on new product areas, building prototypes and integrating new functionality into existing systems with minimal guidance.
Cross-Team Collaboration: Act as a technical bridge between diverse R&D teams to drive unified, complex initiatives.

We are looking for a Principal MLOps Engineer with a deep focus on ML Platforms and Infrastructure to join our Data & AI group at Cortex Research. Our team is responsible for designing, building, and scaling the foundational MLOps and LLMOps platforms that power both our Data Scientists and Security Researchers. You will architect the high-performance core infrastructure that enables these roles to build, train, and deploy advanced AI systems-ranging from optimized Small Language Models (SLMs) to complex agentic workflows and RAG systems. If you are passionate about building scalable compute platforms and automating the full ML lifecycle to solve complex data and security challenges, we want to hear from you.
Key Responsibilities
Scale Distributed Training: Design and optimize infrastructure for training and fine-tuning LLMs and SLMs, leveraging distributed GPU workloads, efficient clustering, and compute optimization.
Automate the ML Lifecycle: Architect robust, automated pipelines for continuous training (CT) and deployment (CD) of models, ensuring a seamless flow from raw data collection to production environments.
Build Model Infrastructure: Own the serving architecture for LLMs/SLMs, balancing latency, throughput, and GPU utilization under production traffic.
Implement Advanced Monitoring: Establish comprehensive observability systems to monitor live model performance, data drift, and computational metrics, feeding insights back into the automated training loops for continuous improvement.
Collaborative Architecture: Partner closely with data scientists and security researchers to productize complex model architectures and streamline their workflows, while collaborating with our DevOps team to integrate with core cloud infrastructure.