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The Product group is looking for a Principal/Senior Product Manager who is passionate about building top-notch enterprise cybersecurity products. In this role, you will shape emerging AI capabilities, enhancing visibility and insights across complex environments. This is a highly strategic role, diving deep into technical details and driving cross-functional innovation across Engineering, Sales, and Marketing.

Responsibilities
AI Product Strategy: Define and drive the product roadmap, including emerging areas such as AI, aligning with overall company goals.
Lifecycle Execution: Lead the end-to-end delivery of complex AI-security features, from initial conception through technical deep-dives to market launch.
Customer & Market Analysis: Engage directly with customers to translate "pain points" into actionable product requirements and technical specs.
Cross-Functional Leadership: Partner with Engineering, Data, and Marketing to ensure the AI security vision is integrated seamlessly into the core platform.

We're looking for a talented IT Infrastructure & Cloud Engineer who will be responsible for our IT and Cloud corporate infrastructure.
You will be suggesting, implementing and deploying new solutions together with maintaining the existing infrastructure, assuring that all our systems are in optimal condition, providing the best service to our clients.
Responsibilities:
Be responsible for requests from the field, related to our global corporate on-premise and cloud infrastructure. This includes servers, storage appliances, active network equipment, firewalls, cloud services, cloud automations, CI/CD and other initiatives.
Design and oversee the integration of core services and platforms such as AWS, Google Cloud and Workspace, Okta, Cloud Backups, Zero Trust Network Access (ZTNA), Secure Web Gateway, Cloud-based EDR and other cutting-edge technologies.
Spearhead the strategy, implementation, and governance of GenAI tools and platforms across the company, focusing on process improvement, building internal AI agents, and driving organizational AI transformation.
Lead the architectural design and deployment of scalable, reliable, and secure corporate infrastructure, emphasizing Infrastructure as Code (IaC) principles to manage on-premise and cloud environments.
Define network policies and procedures, including design, planning network new communication systems and monitoring to allow high quality service for our global offices.
Collaborating with our security team to implement technology and security policies, safeguarding our systems and data from potential threats.

Your Career:
As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling our companys product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

As a Senior Staff AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling our companys product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

We're looking for a motivated and talented Technical Operations Manager to join our team. As a Technical Operations Manager you will work closely with our Product and Monetization teams to ensure the smooth running of all the events, promotions, marketing events and live A/B tests. You will be in charge of all related technical aspects to enable events and promotions both inside and outside the game.
Responsibilities:
Manage the full lifecycle of features and events from technical readiness through release, QA, calendar scheduling, and post-publish monitoring.
Identify repetitive or manual steps in workflows and actively work to eliminate them using AI tools, scripts, and process redesign.
Act as the operational link between Product, Business, Engineering, and QA, ensuring smooth handoffs.
Systematically document processes, decisions, and learnings in a manner that elevates team capability and reduces dependency on individual knowledge.
Take an active role in translating operational expertise into structured, AI-powered processes that extend the teams capabilities at scale.

We are establishing a new role focused on bridging AI capabilities with our internal DevOps platform. You will build AI-powered tools and services that run on top of the DevOps platform developed by the infrastructure team. This role combines hands-on DevOps/platform engineering work with close collaboration with software development teams, enabling them to build, deploy, and operate AI solutions efficiently, securely, and in alignment with organizational standards. You will act as a technical enabler, helping teams bring AI-driven applications into production while ensuring best practices across architecture, compliance, DevSecOps, FinOps, and AI governance. The role also includes direct contributions to the platform itself.
Your Impact
Enhance DevOps platform capabilities to support AI-based tools and workloads.
Work closely with development teams to enable and support AI application delivery end-to-end.
Assist in designing architecture and production-grade implementation of AI systems.
Lead and enforce DevSecOps practices, compliance requirements, and governance standards for AI solutions.
Develop platform components and internal services as part of the AI infrastructure layer.
Support production readiness, monitoring, performance, reliability, and cost optimization (FinOps).
Serve as a technical interface between multiple engineering teams.
Participate in future on-call rotations.

We are hiring an AI Researcher to join the research team building the next generation of AI-native security systems. You will work alongside security and threat researchers to build large-scale AI agents that reason over software, code, endpoint activity, and security signals to detect malicious behavior, uncover vulnerabilities, assess risk, and make autonomous security decisions in real-world production environments. We are entering the Mythos era - where attackers operate at machine speed using autonomous systems and AI-generated software, and defenders must evolve the same way. We use state-of-the-art frontier models, including access to Mythos, to build reliable AI-native security systems at global scale. You will help design the evaluations, harnesses, and reliability infrastructure that make autonomous agents dependable under real customer load, while collaborating with leading AI organizations including Anthropic on initiatives such as Glasswing. This is an opportunity to work at the frontier of AI, autonomous systems, and cybersecurity while helping define how the next generation of security systems will operate.
Key Responsibilities
Build AI agents and autonomous security systems that reason over software, code, endpoint activity, MCPs, and security signals to detect malicious behavior, uncover vulnerabilities, and assess risk at production scale.
Develop systems, tooling, and infrastructure that enable agents to autonomously investigate threats, hunt for malware in massive datasets, and operate reliably in complex security environments.
Design and run experiments to evaluate frontier-model and agent capabilities in realistic adversarial scenarios, including benchmark creation, large-scale datasets, automated evaluations, and human-in-the-loop review systems.
Build the evaluation harnesses, observability systems, and reliability infrastructure required to make autonomous agents accurate, scalable, and dependable under real customer load.
Engineer for scale and performance across large distributed AI systems, including inference optimization, orchestration, batching, caching, cost controls, and graceful degradation under high demand.
Continuously evaluate emerging models, agent architectures, prompting techniques, and research directions to ensure our systems remain at the frontier of AI-native cybersecurity.
Rapidly prototype and test new approaches across reasoning, autonomy, evaluations, and security workflows as the AI landscape evolves.
Partner closely with threat and security researchers to extract domain expertise, translate analyst reasoning into AI workflows, and enable new forms of automation and autonomous investigation.
Collaborate with leading AI and security researchers to shape the future of AI-native cybersecurity as the industry transitions into the Mythos era.
Senior candidates will help define research direction, shape technical strategy, identify high-leverage problems, and influence how autonomous AI systems are deployed across the organization.

As a Solution Engineer for Next-Gen Trust Security (NGTS), you are the premier technical subject matter expert for Palo Alto Networks' Machine Identity Management portfolio. Following our integration with our company, you will lead the technical charge in transforming how enterprises manage cryptographic trust.
You will be responsible for defining technical solutions that secure critical business imperatives, evangelizing our "better together" integration of Certificate Lifecycle Management (CLM) and Zero-Touch Public Key Infrastructure (ZTPKI) within the Strata Cloud Manager (SCM) platform. You will serve as the technical bridge between the Network Security teams and Identity stakeholders, ensuring that enforcement systems (NGFW/SASE) stay synchronized as certificate lifecycles compress.
Your Impact
Technical Win Leadership: Lead Proof of Value (PoV) engagements and technical validations for NGTS, ensuring a high technical win rate by demonstrating operational resilience and outage elimination.
Solution Architecture: Design unified cryptographic governance models within Strata Cloud Manager that align certificate operations with network enforcement.
Strategic Execution: Identify critical projects and actions required to achieve a customer's desired security end-state; eliminate sales obstacles through creative and adaptive problem-solving.
Market Evangelism: Act as a thought leader on the "Cryptographic Reset," educating CISOs and VP-level stakeholders on the risks of 47-day certificate lifecycles and the path to Post-Quantum Cryptography (PQC).
Product Advocacy: Share industry experience regarding customer usage patterns to provide feedback to product teams on how to make NGTS/MIM easier for customers to adopt fully.
Strategic Discovery: Conduct deep-dive discovery sessions to uncover unmanaged or "rogue" certificates using network-native discovery tools.
Cross-Functional Collaboration: Partner with Solutions Consultants (SCs), Account Managers, and the company MIM Specialist team to build and execute account-based pursuit strategies.
Platformization: Drive the adoption of Secure Flex credits by showing customers how to consolidate siloed CLM/PKI tools into a centralized control plane.

HW Application Engineer - Job description: we are a leading supplier of microcontrollers and security hardware solutions for tier-1 customers in the computing and servers business. It is a self-contained design center, spanning from product management, system and chip architecture, through design, software development, system engineering and production. The group works closely with major customers, primarily key OEMs in the computing space, to develop semi-custom, innovative solutions for a wide range of application platforms. We are looking for a Hardware Application Engineer, to maintain and support our strong collaboration with our customers.
What You Will Be Doing
* Lead customers through all stages of designing their systems based on Nuvoton manageability and security microcontrollers (i.e., BMC, EC, SIO and TPM) from planning till production.
* Respond and resolve customer hardware related issues and requests, reported by the regional support team (FAEs) or directly by customers.
* Work closely with R&D, architects and PMs to provide issue resolutions, workarounds, and implement product features or support tools.
* Key contributor in complex debug tasks for issues found by customers; build debug strategies and hands-on work with the design team through the debug.
* Develop deep knowledge of customer applications and systems, recommend application solutions, design ideas and products to customer design teams.
* Develop and maintain technical documentation (e.g., reference schematics, application notes, design guidelines).
* Provide inputs and participate in next generation ICs definition based on customer inputs.
* Contribute to the definition of innovative and differentiated products.

As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness speed and scale in the frameworks they already use.

We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with as a vector store, ML feature stores, and LLM-powered data applications.

columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do
Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

Who We’re Looking For – The Team Lead & Architect We’re looking for an experienced, hands-on AI Engineering Squad Lead to lead the team building the AI agents, intelligent workflows, and decision-making systems powering Chargeflow’s products. This role combines technical and architectural leadership with people leadership. You’ll lead engineers, build alongside them, and own production systems that must operate reliably, securely, and at scale. Our AI platform brings together models, data, tools, business logic, and intelligent workflows to solve complex problems across the chargeback and fraud lifecycle. These systems must understand context, make decisions, and take action in real time and under uncertainty. This isn’t a pure infrastructure or AI research role, and it isn’t about building impressive demos. It’s about turning rapidly evolving AI capabilities into reliable, production-grade products with measurable business impact. If you’re looking to manage tasks and stay above the code, this probably isn’t the role for you. About Chargeflow Chargeflow is a leading force in fintech innovation, tackling chargeback fraud and the impact it has on online businesses. Born from a deep passion for technology and eCommerce, we’ve developed an AI-driven solution that helps merchants manage credit card disputes, recover lost revenue, and protect their businesses through a unique success-based model. Backed by $49M from Viola Growth, OpenView, Sequoia Capital, and other top-tier global investors, Chargeflow is on a product-led growth journey. We’re a tight-knit team of passionate builders and entrepreneurs, united by our mission to revolutionize eCommerce and protect online businesses from chargeback fraud. What You’ll Own
* Lead, mentor, and develop a team of strong software engineers while remaining deeply involved in architecture and code.
* Own the architecture and evolution of Chargeflow’s AI platform.
* Design and build production-grade AI agents, intelligent workflows, and decision-making systems.
* Combine LLMs with business logic, company data, external tools, and deterministic software to solve complex product problems.
* Own AI systems throughout their lifecycle, from design and implementation to deployment, evaluation, monitoring, and continuous improvement.
* Make thoughtful architectural tradeoffs across accuracy, latency, scalability, reliability, security, and cost.
* Turn ambiguous product and business problems into clear technical direction, milestones, and measurable outcomes.
* Build evaluation frameworks that measure system quality, correctness, reliability, and business impact.
* Raise the bar for code quality, system design, observability, and engineering execution.
* Review designs and code, challenge assumptions, and help strong engineers become exceptional.
* Partner closely with Product, Data, and other R&D teams to turn emerging AI capabilities into meaningful customer value.
* Help define how engineering teams at Chargeflow build software with AI while maintaining high standards for correctness, security, and maintainability.

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness incredible speed and scale.

We are seeking a Windows Internals Engineer for our Tel Aviv R&D center. In this role, you will be a key member of the team that designs and develops the low-level Windows components for our revolutionary Cortex XDR endpoint security product, directly contributing to our mission of protecting our digital way of life from advanced cyberattacks.
Key Responsibilities
Contribute to the research and development of Windows drivers, services, and other system-level components.
Challenge the status quo by finding and implementing innovative solutions to counter sophisticated cyberattacks.
Proactively collaborate and exchange information with engineers, security researchers, and product managers to lead projects and initiatives.
Design, develop, and debug complex, high-performance, multi-threaded code in C++.
Conduct in-depth analysis of system internals and focus on the details to produce robust, high-quality security features.
Apply learning from security research and reverse engineering to simplify complex problems and develop practical solutions.

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

We are looking for an experienced and highly capable Principal/Senior Software Engineer to join the Koi team. This role is focused on building and scaling a complex, high-impact product that operates across large-scale enterprise environments. As a Principal Engineer, you will take ownership of major parts of the system and work across the full stack, including backend services, data pipelines, frontend applications, and endpoint/agent code. You will play a key role in shaping the architecture of Koi as it grows, ensuring the system remains scalable, reliable, and easy to evolve.
Key Responsibilities
Design and build scalable, high-performance systems across the full Koi stack
Own architecture and technical direction for critical components
Work across backend, data, frontend, and agent code
Tackle complex challenges related to scale, reliability, and performance
Drive best practices in system design, testing, and observability
Collaborate closely with product, security, and customer-facing teams
Identify and resolve bottlenecks and architectural limitations
Mentor other engineers and raise the overall technical bar of the team.