לוח משרות דרושים AI  בתל אביב יפו

We are looking for an Atlassian Platform Expert & Enterprise AI to join our IT Team as a temporary 1 year maternity leave (MLA) replacement, who has a passion for collaboration tools, process optimization, and IT service management, who has a desire to streamline workflows, improve user experience, and ensure the successful implementation and management of Atlassian tools like Jira, Jira Service Desk, and Confluence.
We use an interesting and mixed technology stack: Jira Software, Jira Service Management, Confluence (Wiki), and integrations with various internal systems and third-party tools.


In this position, you will use your expertise in configuring Atlassian tools and will drive the implementation and continuous improvement of Jira-based workflows, manage Jira Service Desk projects, maintain documentation in Wiki, and ensure the delivery of high-quality solutions aligned with business needs.



Key Responsibilities
Manage and design Jira Service Management projects, workflows, screens, custom fields, SLAs etc.
Develop and maintain custom automation rules, queues, forms, and dashboards to improve efficiency and visibility
Collaborate with stakeholders across Check Point departments to gather requirements, provide solutions, and ensure alignment with organizational goals
Monitor system performance, manage platform upgrades, and apply best practices for platform reliability and scalability
Create and deploy AI based projects or solutions that enhance business operations, drive innovation, and improve decision making across various domains

We are seeking a Senior AI Product Manager to lead the strategy and execution of AI solutions optimized for edge environments for Microsofts Adaptive Cloud and Azure Arc customers. This role focuses on enabling low-latency, high-performance AI workloads that run on distributed infrastructure while integrating seamlessly with cloud services and with Microsoft Foundry products.

The ideal candidate is technical, hands-on, and deeply familiar with AI systems, capable of bridging business needs with engineering execution. You will define the roadmap, partner with engineering, and ensure our products deliver real-world impact across industries such as manufacturing, retail, and IoT.

Microsoft is a global organization, so we collaborate across time zones and occasionally travel to meet customers or attend key events.

(Bonus: If you love solving complex problems and get excited about running AI where the internet barely reaches - this role is for you!)
Key Responsibilities



Product Strategy & Roadmap
Define and own the vision for Edge AI capabilities, ensuring scalability, security, and performance.
Identify customer pain points and translate them into actionable product requirements.
Execution & Delivery
Work closely with engineering to design and deliver AI features for edge deployments.
Ensure compliance with Responsible AI principles and security standards.
Drive AI workloads and orchestration strategies for distributed environments.
Customer & Market Engagement
Engage with enterprise customers to understand edge AI scenarios and adoption blockers.
Analyze competitive landscape and ensure differentiation through innovation.
Go-To-Market Expertise
Partnering with marketing, sales, and business development to craft positioning and messaging.
Driving launch readiness, pricing, and packaging decisions.
Engaging with customers and partners to validate value propositions and accelerate adoption
Measuring success through data and metrics, customer feedback, and revenue impact.

In this role, youll research and build defenses across AI systems, agentic protocols, Identity platforms, and SaaS applications. One day you might analyze a new class of AI prompt injection attacks or Agents abuse, the next youll be hunting through data or creating novel protection mechanisms for them. Youll work closely with product teams to turn research prototypes into real security features.

Join our threat protection research team and be part of a team who contributes to Microsofts most advanced and innovative security solutions.
Responsibilities

Research and develop detection methods for new and advanced attack techniques - from exploits to implants. Build end-to-end PoCs, from offensive testing to scalable detection, across all our cloud and identity platforms.
Stay up to date on the latest attack trends and build strong detections across the kill chain - covering agentic AI & LLM threats, cloud and identity-based attacks.
Collaborate with multiple product and engineering teams to design the next iteration of security products, implement detection ideas and validate their effectiveness using a data-driven approach.
Collaborate with data science teams to drive ML based protections, understand, and identify detection gaps, capabilities, assumptions, and improvements
Provide cybersecurity expertise as needed during security escalations and incidents to help protect Microsoft and our customers

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Code Generation (PhD) (Tel Aviv) Responsibilities
Develop novel state-of-the-art computer vision algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms. Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to Meta product development.

We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities
Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to Meta product development.

In Platforms and Devices (P&D) AI Innovation and Research (AIR), we collaborate with the leading professionals in the functional areas of computer vision, graphics, machine learning, and AI to develop techniques to solve problems for the consumer facing imagery space.

As a product manager in this space, you will work with research scientists to create new approaches to solve consumer issues, and apply those approaches by designing, and implementing features that help to drive Google level goals.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
Partner with research counterparts to drive new investments and a product/tech road map for innovation.
Execute on 0 to 1 differentiating AI video experiences that can disrupt the smartphone space.
Collaborate with Google Deepmind and across product areas like Pixel Camera, and Google Photos to build these experiences.
Work with Marketing, Comms, and creative agencies to tell the story of these experiences.