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We are looking for a visionary Product Management Guild Director to establish and elevate product management standards across our organization. As the Product Management Guild Director, you wont just shape processes - youll architect the mindset, culture, and standards for how world-class products are conceived, built, and scaled us. Working at the heart of a company thats transforming how the world delivers software, your impact will extend across teams, products, and global customers.
This is not a typical leadership role; this is your opportunity to define what product management looks like in the AI-powered future of DevOps.

As a Product Management Guild Director you will
Redefine the Craft of Product Management Design the blueprint for what excellent product management means us in the AI era crafting adaptable, scalable frameworks that support the full product lifecycle, from 0→1 innovation to enterprise-grade scale.
Set the Standard Across the Organization Establish unified methodologies, tools, and quality benchmarks that bring consistency, clarity, and velocity across all product teams, regardless of their domain or maturity stage.
Own and Evolve PM Hiring & Growth Lead the recruitment strategy for all product managers designing role profiles, interview frameworks, and evaluation criteria. Build onboarding and growth programs that turn good PMs into great ones.
Build a High-Performance Product Community Foster a connected, collaborative culture among product managers where ideas flow, mentorship thrives, and knowledge sharing becomes a core part of how we build.
Be a Voice for Evidence-Driven Decisions Embed a culture of measurable outcomes by educating PMs on how to leverage data, customer signals, and product metrics to inform strategy and measure success.

We are seeking a customer-focused Security Analyst to join our managed services team. As a Customer-Facing Security Analyst, you will play a critical role in delivering top-notch exposure remediation services to our clients. You will work closely with customers to assess, analyze, and mitigate exposures in their IT and cloud infrastructure, while providing expert guidance and maintaining strong client relationships.

Responsibilities:

Own and manage the primary technical relationship for a portfolio of enterprise customers, establishing yourself as their trusted security advisor and focusing on strategic security outcomes.
Deliver continuous security posture assessments by leveraging the platform to translate complex technical findings into actionable, risk-based insights for customers.
Master the platform to drive maximum value for customers, guiding them on configuration, best practices, and new features to ensure successful adoption and ROI.
Drive remediation outcomes by acting as the liaison between customers and their internal teams (e.g., IT Operations, DevOps, Cloud Security), helping them prioritize efforts based on attack path analysis.
Proactively track and report on progress, delivering regular status updates and executive-level business reviews (QBRs) that demonstrate risk reduction and program success.
Act as a trusted advisor on exposure and attack path management, translating industry trends into proactive, tailored recommendations that enhance your customers' security posture.
Partner with the broader account team, including Customer Success Managers and Support Engineers, to ensure a seamless customer experience. Act as the lead technical escalation point to resolve complex challenges and champion customer needs with internal teams like Product and R&D.

We are looking for a Senior Software Engineer to join our team developing software solutions to control our HW in Python on Linux for various internal engineering groups, including chip designers, algorithm engineers, PHY characterization engineers, optics engineers, and other R&D teams. Our work includes building and maintaining a framework, as well as developing GUI tools that support complex engineering workflows. This role combines advanced software engineering with a hardware-oriented perspective the ideal candidate should have both the interest and background in areas such as hardware, Linux systems, and low-level drivers.

Collaborate with the development team to improve existing framework and tools, suggest creative solutions, and develop new projects.

In our group, software engineers are responsible for the full lifecycle of solutions from defining requirements and designing architectures to implementation, integration, and delivery. This approach allows every team member to grow professionally, develop a broad skills, and unlock their full potential.

What youll be doing:

Design, develop, and maintain Python-based software solutions (framework, internal tools, GUI applications with PyQt).

Collaborate with internal customers including chip designers, algorithm engineers, optics engineers, PHY characterization engineers, and other R&D teams to understand requirements and translate them into robust solutions.

Take full ownership of projects: define the solution, design the architecture, implement, integrate, and support production-ready tools.

Extend existing framework and tools, while also designing and implementing new ones from scratch.

Work within Linux environments, integrating software with hardware interfaces, drivers, and engineering workflows.

Apply OOP principles and design patterns to build scalable, maintainable software architectures.

Description
For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Engineering Team
Were a team of smart, curious engineers building scalable, reliable systems that power content creation for millions. We work with modern web technologies, tackle real-world challenges in distributed systems, and keep things practicalno overengineering, just solid solutions. If you love solving tough problems, moving fast, and building tech that creators actually use, youll fit right in.
As we scale, we are looking for a Head of QA Automation to lead the transformation of our testing infrastructure, moving from manual QA processes to a robust, modern, and scalable automation-first approach.
On your day to day:
As Head of QA Automation at our company, you will lead the shift from manual to automated testing across all platforms, backend, frontend, mobile, and audio/video. You'll define quality standards, implement automation tools suited to our stack (React, Node.js, WebRTC), and integrate testing into our CI/CD pipelines. Working closely with engineering, product, and DevOps, youll mentor QA team members and drive a culture of speed, coverage, and quality.

We are looking for an experienced BI Data Engineer to join our Data team within the Information Systems group.
In this role, you will be responsible for building and maintaining scalable, high-quality data pipelines, models, and infrastructure that support business operations across the entire company, with a primary focus on GTM domains.
You will take ownership of core data architecture components, ensuring data consistency, reliability, and accessibility across all analytical and operational use cases.
Your work will include designing data models, orchestrating transformations, developing internal data applications, and ensuring that business processes are accurately represented in the data.
This role requires a combination of deep technical expertise and strong understanding of business operations.
You will collaborate closely with analysts, domain experts, and engineering teams to translate complex business processes into robust, scalable data solutions. If you are passionate about data architecture, building end-to-end data systems, and solving complex engineering challenges that directly impact the business wed love to meet you!
Key Responsibilities:
Design, develop, and maintain end-to-end data pipelines, ensuring scalability, reliability, and performance.
Build, optimize, and evolve core data models and semantic layers that serve as the organizations single source of truth.
Implement robust ETL/ELT workflows using Snowflake, dbt, Rivery, and Python.
Develop internal data applications and automation tools to support advanced analytics and operational needs.
Ensure high data quality through monitoring, validation frameworks, and governance best practices.
Improve and standardize data modeling practices, naming conventions, and architectural guidelines.
Continuously evaluate and adopt new technologies, features, and tooling across the data engineering stack.
Collaborate with cross-functional stakeholders to deeply understand business processes and translate them into scalable technical solutions.

Our Talent Acquisition team plays a critical role in building the teams that make this possible. Were a group of collaborative, people-first professionals focused on hiring with excellence, inclusion, and impact.
As a part of the Talent Acquisition team, you will own the end-to-end recruitment process for technical roles across engineering and related teams. Youll partner closely with hiring managers, HRBPs, and operations to attract, engage, and hire top talent while ensuring an exceptional candidate and stakeholder experience.
Youll operate with full-cycle ownership, from sourcing and assessment through offer formulation and closing, using sound judgment, strong communication, and a deep understanding of the engineering talent market in Israel. Poland is a nice to have.
Responsibilities:
Lead the end-to-end hiring process for engineering roles (e.g., backend, frontend, DevOps, data, QA), from job intake to offer closure.
Partner with hiring managers to define role requirements, write inclusive and accurate job descriptions, and align on interview strategy and success profiles.
Conduct candidate assessments, values interviews, and reference checks, ensuring consistency and quality in evaluation.
Formulate and extend offers in collaboration with HRBPs, Compensation, and Hiring Managers.
Act as a trusted advisor to hiring managers and interviewers, providing data-driven insights, market updates, and process guidance.
Maintain a regular and transparent communication cadence with HRBPs, Ops, and other key stakeholders on hiring progress and challenges.
Build and nurture relationships with internal and external partners to ensure smooth execution of recruiting processes.
Deliver a best-in-class candidate experience that reflects our companys values and culture.
Actively support DEI goals by diversifying sourcing channels and ensuring equitable hiring practices across all stages.
Represent our company authentically and inclusively in all candidate interactions.
Maintain accurate and up-to-date records in the ATS and ensure process compliance.
Leverage recruiting metrics (time to fill, conversion rates, diversity pipeline health, etc.) to inform hiring strategies.
Liaise with vendors and external agencies, ensuring alignment with SLAs and our companys standards.

Required Experienced Fullstack Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Full Stack Engineer in Demand in our Tel Aviv Office, youll play a vital role in our management platform, focusing on the onboarding experience to make a meaningful impact on the companys performance, while enabling advertisers to create and manage their ads with a strong emphasis on optimal user experience and performance..
How youll make an impact:
As a Fullstack Engineer, youll bring value by:
Be a key member in our most important frontend projects.
Take a major role in our management platform, focusing on the onboarding experience to make a meaningful impact on the companys performance, while enabling advertisers to create and manage their ads with a strong emphasis on optimal user experience and performance.
In this role you will have end to end ownership: you will be responsible for designing, developing, measuring and maintaining user-facing features for our platforms.
Make professional decisions based on big data and performance metrics of billions of users, while putting emphasis on business KPIs
Collaborate with the Product, Data and UX team throughout the company to iterate on the design and implementation of our product to ensure seamless integration, high performance, and a top-notch user experience.
Stay up to date with the latest trends and advancements in front-end technologies React advancements, browser features, Web APIs, A/B testing at scale and many, many more.

We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.
This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities
Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.
Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into our company services.
Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.
Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support

As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

We are looking for a Global Support Manager.
Key Responsibilities:
Strategic Leadership:
Refine and implement a comprehensive customer support strategy aligned with company goals and customer needs.
Refine and report on key performance indicators (KPIs) and service level agreements (SLAs) for the support organization.
Analyze support metrics and customer feedback to identify trends, areas for improvement, and opportunities for proactive support.
Collaborate with Customer Success, Product, Engineering, and Sales teams to ensure seamless customer journeys and effective issue resolution.
Stay abreast of industry best practices in customer support and application security trends.
Team Management & Development:
Recruit, train, and mentor a team of highly skilled and customer-focused support professionals.
Foster a culture of continuous learning, professional development, and customer advocacy within the support team.
Conduct regular performance reviews and provide constructive feedback to team members.
Ensure adequate staffing levels and efficient resource allocation to meet customer demand.
Technical Excellence:
Develop and maintain in-depth knowledge to effectively troubleshoot and resolve customer issues.
Stay updated on product enhancements, new features, and industry best practices
Serve as a technical escalation point within the Global Support Team
Operational Excellence:
Optimize support processes, workflows, and tools to improve efficiency, effectiveness, and customer satisfaction.
Oversee the management of our knowledge base, FAQs, and self-service resources to empower customers.
Implement and manage support technologies (e.g., ticketing systems, remote support tools).
Handle escalated customer issues and ensure timely and satisfactory resolution.
Develop and maintain documentation for support procedures and policies.
Customer Experience:
Champion a customer-centric approach throughout the organization.
Act as a voice of the customer within the company, advocating for product improvements and enhancements based on support insights.
Proactively identify opportunities to enhance the customer experience and build strong customer relationships.

We are seeking a motivated and hands-on IT Software Engineer with 25 years of proven experience in AI development. As part of our IT development team, you will design, build, and deploy AI-powered applications and solutions that drive innovation and improve business productivity. You will work closely with software engineers, business analysts, and business stakeholders to implement AI models, agents, and copilots using modern tools and platforms.
This is a great opportunity for someone passionate about AI, who enjoys building practical solutions and growing their expertise in enterprise-scale environments.
How will you make an impact?
Be an active member of the IT development team, contributing to design, coding, and deployment of AI-driven solutions.
Develop and implement AI agents, copilots, and automation workflows using tools such as Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, and Python.
Integrate AI models and components into existing applications, systems, and business processes.
Write clean, maintainable, and efficient code for AI-driven features and applications.
Apply prompt engineering techniques to optimize large language model (LLM) performance.
Collaborate with cross-functional teams (data engineering, product, business) to translate requirements into working AI solutions.
Participate in code reviews, testing, debugging, and deployment of AI applications.
Stay up to date with emerging AI technologies and contribute ideas for their adoption.
Support the monitoring and maintenance of AI models in production, including performance tuning and troubleshooting.

We are seeking a Technical Marketing Engineer to join our Ethernet Networking team to keep improving our performance leadership in AI. In this pivotal role, you will be the hands-on expert for our Spectrum-X Ethernet platform, showcasing its superiority for emerging AI use cases. You will develop and implement rigorous benchmarks on various GPU clusters, analyzing everything from LLM training to groundbreaking inference workloads. Your primary mission is to translate these performance results into compelling technical content, including white papers, blogs, and presentations, that clearly articulates why our Spectrum-X Ethernet solutions are the definitive choice for modern AI infrastructure.

What you'll be doing:

Design and execute performance benchmarks using industry-standard tools (e.g., MLPerf, UCX, our Collective Communications Library - NCCL and CloudAI) and customer-representative AI workloads on our state-of-the-art GPU clusters.

Translate your benchmark data and technical insights into compelling, high-impact marketing assets and performance-driven sales enablement materials.

Collaborate closely with Product Management, ASIC and Software architecture and Sales teams, provide feedback on product features, and ensure our performance results are technically accurate and impactful.

Were looking for a Staff Application Security Engineer to join our IT and Security team. This role is ideal for a hands-on security professional who is passionate about working closely with engineering teams to design secure software, fix vulnerabilities, and promote a culture of security across the organization.
Youll be responsible for shaping and owning our Secure Software Development Lifecycle (SSDLC), managing security tooling, and leading the assessment of application and API security across our products and services.
Here are a few of the things you will do:
Collaborate directly with engineering teams to define remediation strategies, track implementation, and validate security fixes across the application stack.
Design, implement, and drive SSDLC practices across the companyfrom security design reviews and threat modeling to proactive triaging in production.
Conduct threat modeling, architecture reviews, and security assessments of cloud-based applications and services, including those leveraging emerging technologies.
Manage our bug bounty program, validating reports and coordinating response and resolution.
Own and operate our suite of AppSec tools including SAST, ASPM, and other security scannerstriaging findings, prioritizing issues, and guiding engineering toward resolution.
Review source code and applications to identify vulnerabilities and collaborate with dev teams on remediation.
Act as the point of contact for findings from penetration tests, automated scanners, and external assessments, helping manage triage and ensure timely fixes.
Continuously research and stay current with application security trends, frameworks, vulnerabilities, and best practices.
Promote a strong security culture across by educating and enabling engineers, architects, and DevOps teams to build secure software from the ground up.

Join the forward-thinking CloudGuard AI Security team, where youll collaborate with leading architects and engineers to design, build, and secure next-generation AI-enabled public cloud environments.
As a Data Scientist, you will not only build and refine machine learning models and analyze large-scale datasets but also take an active part in the coding effort and in developing production-grade components that power CloudGuards AI Security products.
Key Responsibilities
Develop AI Security Insights Leverage advanced statistical and machine learning techniques to detect threats, anomalies, or vulnerabilities in AI-driven cloud environments.
Build, Code & Optimize ML Solutions Design, implement, and optimize ML and LLM-based models using clean, maintainable, and efficient code; integrate them into CloudGuards product pipelines to ensure scalability and reliability.
End-to-End Product Development Collaborate with backend and DevOps engineers to deploy, monitor, and scale ML components within microservices and cloud infrastructure.
Data Exploration & Feature Engineering Conduct deep dives into complex datasets from various sources, transforming raw data into actionable features for robust model development.
Continuous Learning & Adapting Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors; adapt existing models and pipelines accordingly.
Cross-Functional Collaboration Work closely with other data scientists, product architects, software engineers, and security experts to translate business needs into production-ready, data-driven solutions.

The Account Manager is a relationship-driven, commercially-minded professional responsible for maximizing customer lifetime value through proactive renewal management and account expansion. Youll lead a structured account management process across all segments, fostering long-term partnerships, ensuring on-time renewals, and uncovering upsell and cross-sell opportunities. This role requires a strategic thinker with a passion for customer outcomes, strong process rigor, and the ability to collaborate cross-functionally to drive retention, growth, and advocacy

Responsibilities:
Design, execute, and continuously improve a scalable account management framework that drives proactive engagement, renewals, and expansion across all customer segments.
Develop and execute strategic touchpoints to build trusted customer relationships, drive on-time renewals, mitigate churn risk, and position value-add solutions.
Partner with Account Executives, Customer Success, and Solutions Engineering to align on business outcomes, identify growth paths, and ensure seamless contract execution.
Accurately build and manage renewal quotes in HubSpot and support channel fulfillment where needed.
Forecast renewals with rigor and accuracy, escalating at-risk accounts early and proposing mitigation plans.
Track and optimize KPIs like retention rate, renewal velocity, and time-to-close.
Ensure all renewal-related data and activities are captured in HubSpot and internal systems for reporting and handoff.
Surface insights and advocate for improvements to process, packaging, and pricing based on customer feedback.
Contribute to a customer-first renewal strategy that balances commercial discipline with a world-class experience.