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We are looking for a VP of Global Support to lead Cloudinarys worldwide Support organization and help redefine how technical support creates value for customers and the business.

Reporting to the Chief Customer Officer, you will own the strategy, operating model, and performance of a global, follow-the-sun support organization. Beyond delivering operational excellence, you will modernize Support through AI, automation, knowledge management, and data-driven insights-transforming Support from a reactive service into a strategic customer intelligence function.

As a member of the Customer Success leadership team, you will serve as the voice of the customer, partnering closely with Engineering, Product, Customer Success, Sales, Marketing, and Executive Leadership to improve customer outcomes, influence product direction, and enable scalable growth.

This role is ideal for an executive who combines deep technical support expertise with operational excellence, organizational leadership, and a passion for leveraging AI to elevate both customer and employee experiences.


Responsibilities:

Define and execute our global support strategy, driving customer satisfaction, retention, and operational excellence.

Lead and scale a high-performing global organization across multiple regions, developing leaders and building a culture of accountability, collaboration, and continuous improvement.

Drive the transformation of Support through AI, automation, self-service, and knowledge management to improve efficiency, customer experience, and scalability.

Establish and optimize operational processes, support engineering practices, escalation management, and service delivery across a follow-the-sun model.

Own support performance through data and metrics, including CSAT, SLA attainment, quality, productivity, deflection, and operational efficiency.

Partner cross-functionally with Engineering, Product, Customer Success, Solutions Engineering, Professional Services, Sales, and Marketing to resolve customer challenges and influence product improvements.

Represent the voice of the customer at the executive level, using customer insights to shape product strategy and business priorities.

We are looking for an experienced Backend / Graph Database Engineer with experience in Neo4j to join our team.
You will be part of building a large-scale cloud security (CIEM) platform for enterprise customers, where graph-based modeling and computation are at the core of how we analyze identities, permissions, and access paths.
This role combines strong backend engineering with advanced graph thinking - transforming traditional compute-heavy permission analysis into efficient, scalable graph-based solutions.
Your Impact
Take part in the development of a large and complex cloud security (CIEM) platform for enterprise organizations
Design and implement graph-based models to represent identities, permissions, roles, and resource relationships
Build scalable services using Neo4j for real-time and batch graph processing
Optimize complex Cypher queries for performance at scale
Write clean, testable, readable, and maintainable code that performs well for thousands of customers
Design systems that meet high standards of scalability, reliability, and security
Collaborate across teams to define and deliver graph-driven security features.

As a Principal Data Engineer, you will be integral to the security research group, designing, building, and maintaining the data pipelines and data frameworks that are the backbone of our cyber attack detection capabilities. You will work closely with top security and AI researchers, enabling their work and seeing the direct impact of your contributions on our services and the day-to-day effectiveness of the research team.
Key Responsibilities
Lead the design and implementation of end-to-end, complex data pipelines and data platforms in cloud environment.
Collect, analyze, and translate complex data requirements from various stakeholders including data analysts, developers, and Cyber security researchers.
Develop robust, scalable Cloud based data solutions using Python and distributed processing frameworks such as Apache Beam (Dataflow) , GKE , Spark , etc.
Utilize AI as part of the development cycle, including generating, reviewing, and testing code via prompts.
Model and manage data within cloud MPP databases and data lakes such as BigQuery, Redshift, or Snowflake.

We are looking for a highly seasoned Tech Lead with a deep SaaS background to bridge the gap between high-level architectural vision and hands-on technical execution. In this role, you will be a cornerstone of the Platform group, blending very senior development expertise with architectural leadership.

You will lead by example, spending a significant portion of your time in the code while simultaneously guiding the technical and architectural direction of the group. Reporting to the Platform Group Manager, you will collaborate with product managers and engineers to deliver robust capabilities consumed by internal teams and external customers.

What You'll Do

Hands-on Technical Leadership

Lead or co-drive the implementation of complex, cross-cutting platform features, maintaining a high standard for code quality and system performance.

Translate architectural goals into actionable technical roadmaps and lead teams through successful execution.

Balance daily feature delivery with long-term architectural health, ensuring that technical debt is managed effectively.

Provide deep-dive code reviews and technical mentorship, elevating the engineering craft across the domain.

Serve as the primary technical point of contact for the group, making critical decisions on implementation patterns and tool selection.

Architectural Execution

Collaborate with the other tech leads to ensure cross-group-level implementations align with our broader technical and architectural strategy.

Drive the adoption of modern distributed system patterns and cloud-native best practices through direct implementation and guidance.

Champion the use of AI tools to optimize development lifecycles while maintaining deep ownership of the system codebase.

Our Data team consists of highly skilled senior software and data professionals who collaborate to solve complex data challenges. We process billions of records daily from multiple sources using multi-stage pipelines with intricate data structures and advanced queries.

We are responsible for building data pipelines end to end-from raw data ingestion to the creation of actionable datasets-following the bronze, silver, and gold paradigm. This includes business logic, infrastructure, ETLs, optimization, and ongoing maintenance.

The data we deliver drives insights and decision-making across the organization and enhances our product offerings. We leverage technologies such as AWS, Snowflake, Iceberg, Airflow, Spark, and more.

What Youll Do

Lead the translation of business and product requirements into scalable data models, transformations, and pipelines.

Design and own datasets across bronze, silver, and gold layers, including defining grain, aggregations, and data contracts.

Develop and maintain SQL-heavy data pipelines and Airflow DAGs (workflow logic, dependencies, backfills, python, and lots of SQL).

Own data correctness for key business metrics (e.g., ARR), including deep root cause analysis and resolution of data issues.

Define and drive best practices for SQL, data modeling, and pipeline design across the team.

Optimize queries and data models for performance, scalability, and cost efficiency.

Collaborate closely with product managers, analysts, and BI developers to refine requirements and ensure high-quality data delivery.

Develop AI-agents to accelerate data analysis by internal and external users.

Work with complex data inputs (e.g., JSON, schemas, logs) and incorporate them into robust data pipelines.

As a Principal Software Engineer, you will be a technical trailblazer responsible for the architecture and evolution of our automation ecosystems. This role requires a visionary who can bridge the gap between emerging LLM research and production-grade reliability. You will define the technical foundations that enable autonomous security workflows, ensuring our platform is forward-compatible with the rapidly evolving Agentic AI landscape.
Your Impact
Architectural Leadership: Define and own the technical vision for the Cortex Platforms automation foundations and Agentic AI integrations.
System Design for Autonomy: Architect highly resilient and non-deterministic systems, designing abstract frameworks that optimize security workflows for autonomous planning and execution.
Advanced Problem Solving: Define the right technical approach for emerging challenges where no proven solution yet exists, specifically addressing LLM limitations like latency, hallucinations, and determinism.
Scalable Engineering Standards: Define global technical standards for the platforms automation ecosystem, merging advanced CI/CD governance with robust telemetry and metrics to track execution health across thousands of production tenants.
Technical Alignment: Align diverse engineering stakeholders around a single, cohesive technical direction for platform-wide automation and integration features.
Strategic Reliability: Drive step-function improvements in system reliability and quality, establishing a technical roadmap that anticipates the next generation of Agentic Response.

What you'll do:
Build the surfaces agents call directly: API-first account provisioning, machine-to-machine authentication, scoped credentials, and agent-level identity and attribution.
Own our MCP (Model Context Protocol) servers and an agent-first CLI - let coding agents and LLMs discover and invoke our reliably, engineered for agentic callers: token-efficient tool schemas, machine-parseable output, and loud, actionable failures instead of silent ones.
Harden the agent media path - make upload and core media operations reliable for non-human callers, eliminating the ambiguity and silent-failure modes that cause agents to drop off mid-task.
Make agent behavior measurable - partner on the instrumentation, signals, and attribution that tell us whether agents are succeeding.
Work across a polyglot backend - Node.js/TypeScript for the agent tooling layer, with Ruby/Rails and Go in the core platform.
Ship, measure, iterate - prototype quickly, dogfood the experience, and represent the agent's perspective in every design decision. Work closely with Product, Ecosystem, and Discoverability across the AX team.

We are looking for a Security Researcher to join our research group as part of a growing team developing Autopilot, an innovative product for autonomous investigation and response.
As a core member of the team, you'll go beyond research: youll research, design, and develop investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities
Research and implement new autonomous methods for investigating and responding to targeted attackers, using large-scale, diverse security datasets
Develop and design the graph-based algorithms that power autonomous investigation and decision-making capabilities
Design automated incident response by developing reusable logic that transforms raw security data and alerts into clear, actionable insights.
Leverage graph algorithms, AI techniques, and statistical methods to mimic and scale human security analyst workflows
Conduct deep, hands-on investigations into modern malware, APTs, and complex attack flows to inform detection and response logic
Stay up to date with attacker methodologies, tools, and techniques (TTPs), ensuring our product remains effective against evolving threats
Contribute to a collaborative, fast-paced research team, helping shape our research strategy, improve processes, and continuously enhance the product.

Our team is building a new product within Cloudinary, focused on large scale visual moderation.

It is a fast moving, high impact effort that is already attracting interest from major customers.

We operate like a small startup inside Cloudinary, which means:

Full independence in technical and product decisions.

Freedom to build things the way we want.

The backing and stability of a well established, successful company.

Strong people first culture with genuinely great teammates.

We own the full development lifecycle, from deciding what to build to how we build, ship, and operate it. The team is very small, highly focused, and fully hands on.

You will work on a backend system where scale, cost, and correctness all matter at the same time.

You will have real architectural ownership, direct customer impact, and the freedom to move fast without heavy process.

Few roles offer this combination inside a mature company.

What You Will Do
Own the Server Side
Design, build, and evolve the server side of a moderation platform operating at scale, including:

High throughput async pipelines.

Large volumes of images and videos.

Multi tenant systems.

Cost sensitive ML workloads.

Agentic moderation workflows and AI-driven decision systems.

Ship Fast, Ship Smart.

Deliver value iteratively with a clear focus on customer and business impact.

Move quickly without losing sight of long term architecture and operational quality.

Set the Technical Foundation

Make architectural decisions that scale over time.

Use agentic development and code generation to accelerate delivery, while keeping engineering judgment, technical accountability, and code ownership firmly in human hands.

Elevate Quality and Standards
Build clean, modular, secure backend systems that are meant to live and evolve.

Establish good engineering practices around testing, observability, reliability, and maintainability.

Drive Innovation and Practicality
Explore new ideas and approaches, but always ground them in real world constraints like latency, cost, and operational complexity.

We are a strong, fast-moving team developing advanced solutions in one of Palo Alto Networks most innovative areas - Email Security.
Were looking for a talented Frontend Engineer with strong technical skills and a passion for building high-quality user experiences. Youll join a team that values clean, scalable code and collaborative development, working closely with product, UX, and backend engineers to deliver impactful features that help organizations defend against phishing, business email compromise, and evolving email-based threats.
Youll have the opportunity to take ownership of features end-to-end, contribute to technical decisions, and grow your expertise while building products used by customers around the world.
Key Responsibilities
Design and develop next generation frontend application
Take responsibility and lead the development of multiple components of the system in a dynamic environment
Work closely with our UI/UX experts, designers and product managers to create visionary cyber security products
Research, design and develop complex data visualization solutions.

The Cortex Cloud Data Security Platform 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 Director of Product Management 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 - their data.
Key Responsibilities
Lead a product management group that will deliver the entire product life cycle - 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 Cortex Data Security and grow it 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
Work closely with UX/ UI experts to create an intuitive and state of the art user interface.

Cortex is expanding. We combine the high energy of a startup with the massive resources of the worlds cybersecurity leader. We aren't just processing data; we are managing hundreds of petabytes of it, waiting Cortex for you to apply your "magic" to invent the next generation of threat detection. As a Principal Software Development Engineer, you will be a cornerstone of the Cortex Detection Backend team. This role is designed for a technical powerhouse who thrives in the "sweet spot" between high-level architectural strategy and hands-on execution. You will influence our product roadmap, mentor elite engineers, and build systems that protect thousands of the world's most sensitive organizations.
Key Responsibilities
Architect & Innovate: Design and build a new set of capabilities focused on Data Analytics and Threat Detection. You will solve cloud security challenges that have never been tackled before.
Scale Without Limits: Ensure our microservices architecture remains robust and resilient under massive loads, processing millions of events per second.
Technical Leadership: Act as a technical sounding board and mentor. You will guide design discussions, conduct deep-dive research, and foster a culture of engineering excellence.
Strategic Collaboration: Work closely with Product Management, R&D leaders, and Security Researchers to define requirements and turn ambiguous problems into elegant technical solutions.
Drive Execution: Take ownership of the software development life cycle, ensuring high-velocity delivery in a fast-paced Agile environment.

We are looking for a Windows Malware Security Researcher for our Tel Aviv R&D center. You will be part of a team that is responsible for researching the most recent and advanced cybersecurity threats, as well as designing, developing, and improving Anti-Malware capabilities to protect against them. The position includes researching OS internals, picking apart malware samples, delving into the internals of Windows kernel and user-mode code, and finding ways to mitigate new attack vectors.
The proposed role will be part of the research team of the Cortex XDR endpoint protection solution.
We are seeking a highly skilled and experienced Windows Malware Security Researcher to join our growing Windows malware research team of the Cortex XDR agent group. In this role, you will play a key part in enhancing our Endpoint Detection and Response (EDR) agent by prototyping new protection components and techniques and developing advanced malware prevention strategies. You will work on identifying, analyzing, and mitigating sophisticated threats, working closely with various teams to drive innovation. A deep understanding of the Windows operating system is essential.
Key Responsibilities
Playing a pivotal role in shaping the future of our security solutions.
Enhance the effectiveness of our EDR product by designing cutting-edge protection components and developing sophisticated prevention rules.
Researching OS internals and how Windows works under the hood - leveraging this knowledge to develop and improve our anti-malware mechanisms and capabilities.
Research and lead novel protection ideas to production-grade level, serving as the feature subject matter expert.
Research new malware and APT mitigation techniques and develop corresponding capabilities (POC level), or improve existing mitigation capabilities.
Respond to malware-based security events at clients' networks.
Stay up to date with current malware and APT techniques.
Provide feedback to the product management team on new feature requests and product enhancements from our customer base.
Find new malware techniques and APT attacks, including analysis of caught-in-the-wild malware.
Operate independently end-to-end - from initial threat idea, through research and POC, to handing off a production-ready design to core agent engineering with clear specs, test cases, and edge-case analysis.
Be a team player who lifts others up - happy to jump in when a teammate is stuck on a tricky Windows internals or RE question, share what you've figured out, and generally make the people around you better.

The Accounts team owns some of the most critical infrastructure at the core of our platform.
We are responsible for identity, access, and account management across all our products - from authentication and fine-grained authorization to account provisioning and enterprise integrations.

Our work ensures secure and scalable access control, supports complex enterprise use cases, and powers internal systems relied upon by every team in the company. We collaborate closely with cross-functional teams including Product, Platform, and Security to deliver reliable and high-impact solutions.

If youre passionate about building foundational backend systems that scale globally and support great challenges - this is the team to join.


As Part Of Your Role, You Will:

Architect, design, and develop highly available, distributed systems and APIs at the core of our platform.

Lead solutions for the business application platform layer with robustness, security, and monitoring in mind.

Become a company-wide focal point for identity, access, and account-management knowledge.

Lead by example, mentor peers, and ensure high standards of code quality.

Work with product managers and business partners to frame problems within the business and product context.

As a Data Scientist, you will apply your expertise in software engineering, LLM agents, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, Agentic LLM-based security solutions that block attacks before they begin. Join our innovative team to shape the future of cybersecurity and impact millions of customers.
Important: this role requires a unique combination of hands-on software engineering skills as well as previous experience with designing and delivering LLM-driven products.
Key Responsibilities
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers.
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach.
Design and implement agentic LLM solutions to face modern cybersecurity challenges.
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.