לוח משרות דרושים AI

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
Intuit is seeking a Staff-level Senior AI Security Researcher to join AI Adversarial Robustness Research (A2RS), a multidisciplinary team focused on securing AI and GenAI models and systems.
Were looking for innovative team players who love new challenges, enjoy cracking tough problems, and thrive in cross-functional environments.

In this role, you will partner with data scientists and security researchers to define how Intuit secures AI applications.


Responsibilities

Research AI and GenAI systems from a security perspective to understand when and how they are vulnerable to a variety of threats
Blue team: Explore innovative ways to enhance the security of AI systems
Red team: Analyze the attack surface of state-of-the-art AI technologies
Center of Excellence: Collect and synthesize research literature and open-source tools to build and maintain a robust knowledge base for adversarial robustness of AI systems
Distill and share AI security knowledge within Intuit and externally through seminars, blogs, papers, and conference talks

As the Security Product Management Group within the Intuit Information Security Research and Development organization, our mission is to secure Intuit's future by protecting the ecosystem and accelerating secure innovation. We safeguard all Intuit products and customers from malicious activities, covering both core Security and Safety risks introduced by GenAI. Furthermore, we empower our developers and employees to seamlessly and securely integrate AI into their work, while also partnering directly with our Data Science teams to drive the rapid adoption of "done-for-you" AI solutions within the Security and Trust and Safety organizations.



In this role, you will be building products that serve all Intuit business segments, and teams within the Information Security R&D organization, and will be focusing on leading the transformation of the underlying Security & Safety Services, with the ultimate goal of making Intuit the safest and the most trusted place for our customers to transact.

We are seeking a senior Product Manager on our team, who would build the vision and roadmap to developing novel AI Security and Safety products, work in close collaboration with multiple stakeholders including research teams, business security teams, Data Science teams, Product development teams, and others.
Experiencing in building and launching AI focused products, technical skills and experience with go-to-market in a fast-paced business environment is a must.
Our customers and partners are highly technical, and this role requires a strong display of driving technical partnership and influence leading to strong business outcomes.

If you are ready for the challenge, come and help us shape an AI-driven future.


Responsibilities

Problem Solver: Knows when and how to be scrappy and entrepreneurial, hypothesis-driven and analytical; exercises strong judgment when balancing risks and while making trade-off decisions
Product Owner: Brings demonstrated experience building or supporting platform-level capabilities; creates and evangelizes a killer product roadmap that inspires teams and win buy-ins from stakeholders; can deploy impact-driven prioritization frameworks that make informed trade-offs; can mentor junior PMs.
Customer Champion: Has deep understanding of customer needs, market trends, and competitor insights; is obsessed with solving customer problems.
Influencing Skills: Able to use data, metrics, and analysis to drive consensus; skilled in stakeholder management and communication at all levels of the organization; can effectively tailor communications to the appropriate audience to help ensure broad alignment, awareness, and advocacy of the product.
Technical Complexity: Demonstrate profound understanding of platform components; Unblock engineering teams on cross-functional dependencies, supporting convergence toward future architecture and infrastructure, and building scalable solutions that extend across the company.
Domain Knowledge: Demonstrates knowledge of generative AI Fraud controls, Trust and safety domains

We are looking for AI Engineer to join the Data Science team.

As an AI Engineer in the Data Science team, you will be working closely with applied researchers on model optimizations, GPU and hardware, language-model optimizations in the Video and Language domains and more. Your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies. You will be expected to ;break down problems, learn and develop, have an open mind, and have ownership all the way to production. Working in a multi-disciplinary team will require excellent communication skills and at the heart of it all, alignment with Microsoft values and endless curiousness.

We are seeking a Senior Applied Scientist to contribute to the ongoing development of Microsoft 365 Copilot in Excel, with an emphasis on optimizing LLM and Agentic workflows. This position is part of the Microsoft 365 Excel team, dedicated to pioneering advancements in generative AI. The successful candidate will possess substantial expertise in large language models (LLMs), information retrieval, and machine learning. Responsibilities include close collaboration with engineering and product teams to innovate, design, and assess comprehensive AI solutions for millions of enterprise users. This role will influence technical direction, inform product development, and foster cross-team collaboration to deliver impactful AI-driven experiences that empower users to achieve more.



Responsibilities

Youll work as part of an Applied Science team on high-impact, technically ambitious AI projects that directly shape the future of Microsoft 365 Copilot in Excel including

You will design, fine-tune, and deliver models and agentic flows for integration with Excel Agent and on-canvas experiences.
You will leverage state-of-the-art LLM fine-tuning and retrieval methods, with robust evaluation metrics and A/B testing to ensure data-driven progress.
You will gather and curate relevant benchmarks, build a comprehensive evaluation framework, and develop GPT-based evaluators (LLM-as-a-Judge). Run controlled experiments to compare performance, efficiency, and scalability using data-driven metrics and A/B testing focusing on reproducible and impactful results.
You will continuously study emerging literature, share insights with leadership and peers during research reviews and deep dives adapt quickly to new findings, and integrate them into experiments and when applicable share with broader research community.

we are looking for a researcher who can help us stay ahead of the curve. 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
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

We are seeking a motivated Software Developer to join our Agent Team. This role is crucial in building and maintaining features that span from user endpoints across multiple platforms to cloud services. If you have a passion for technology, strong collaboration skills, and a drive for results, we want to hear from you.



Responsibilities

Develop and maintain features end-to-end, from user endpoints on various platforms to cloud services.

Collaborate with cross-functional teams to design, implement, and test new features.

Troubleshoot and debug complex technical issues across different environments.

Continuously learn and apply new technologies to improve our products.

Contribute to code reviews and maintain high standards of code quality.

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!)



Responsibilities
Shape

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.

SuperSonic is hiring a Staff Data AI Lead to lead our AI initiatives.As a Staff Data AI Lead you will be responsible for leading SuperSonic organization AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.
What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers

At Check Point Software Technologies, we are building the cybersecurity platform that protects the hyper-connected world. We deliver real security, trusted by the largest enterprises, and data centers globally.

Today, we are making a significant investment in artificial intelligence to revolutionize cybersecurity:

We are developing AI-driven solutions to make the work of our customers smarter, faster, and dramatically more efficient.
We are creating security technologies to protect AI itself from cyber threats, helping organizations adopt AI technologies securely and responsibly.
We are on an ambitious journey to set a new industry standard for organizations to protect themselves, fully powered by AI.
This is the time to make a huge impact.
If you're passionate about leadership, innovation, and shaping the future of cybersecurity with AI we invite you to join us.





Key Responsibilities
Lead and scale the AI Product Management, developing a high-performing team of PMs.
Define and own the AI product strategy and roadmap, aligning with business goals and customer needs.
Drive the full product lifecycle, from discovery and high-level requirements gathering to launch, and iteration.
Be the voice of the customer, ensuring our AI solutions directly address real-world challenges and deliver exceptional value.
Collaborate cross-functionally with CTO, AI Architects, R&D, data science, marketing, and customer-facing teams to execute at high velocity.
Evangelize and represent Check Points AI vision and products internally and externally through keynotes, customer meetings, and industry events.
Tell the story: create compelling product narratives that clearly articulate the value of AI innovations to customers, partners, and internal stakeholders.

We are building the Windows agent that powers GenAI Protect, Check Points flagship initiative to secure AI workflows across endpoints, browsers, and SaaS. In this role you will help define how AI and security intersect at the OS level and solve problems no one has solved before. If you want to work on technology that sits on the critical path of how people and machines use GenAI every day, this is where you want to be.



Key Responsibilities
Own the Windows protection layer: design and implement the core proxy, hooks, and anti-tampering mechanisms for GenAI agents.
Collaborate with Mac, Cloud, and Security Engine teams to build unified multi-platform behavior analysis.
Design IDE and developer environment integrations to monitor and protect AI-driven code flows.
Deliver production-ready, high-performance agent components with deep OS-level visibility.
Influence architecture decisions, threat models, and agent-core evolution.

We seek a strong, motivated, and highly technical researcher who can be part of the Innovation & Research team.

With an R&D mindset, the research outcome will be integrated into Checkpoint products.

The position allows gaining extensive knowledge about security-related issues based on Machine Learning algorithms that would help to secure organizational networks, including IoT devices.

You will be able to directly impact protections against major vulnerabilities.

Key Responsibilities
Be part of the Innovation team that is responsible for Check Points Policy Insights and IoT security solutions.
Build ML/AI solutions together with a strong partnership with our engineering team.
Work with data throughout the entire pipeline from Data Engineering and Data Analytics to ML/AI models.
Collaborate with all the data & research-related groups within Check Point.
Developing and implementing protection mechanisms against diverse cyberattacks, while investigating IoT devices to analyze their network behaviours and integration within complex systems.
Productization & development of technologies from the POC stage into an enterprise-scale security solution.
Work closely with other development teams, QA, product management, and customers.

As an AI Architect, you will own the end-to-end design of our AI-driven protection stack, from agent telemetry to inference and enforcement. You will set the standards for secure and scalable AI architecture, influence product direction, and mentor senior engineers. If you want to lead the intersection of AI, security, and system design, this is where you want to be.

Key Responsibilities


Define the end-to-end AI architecture, from agent telemetry to inference and protection enforcement.
Design APIs and interfaces connecting agents, management, and GenAI services.
Partner with threat research and product teams to turn protection intent into ML-driven capabilities.
Establish best practices for AI safety, privacy, and secure design.
Review designs across all product teams (Windows, Mac, Backend, GenAI).
Mentor senior engineers and lead design reviews for high-impact systems.

We are looking for an exceptional and passionate Competitive Intelligence Analyst (Technical AI Security Focus) to join Check Points Competitive Intelligence Group. This role sits at the intersection of cutting-edge AI-driven cybersecurity and strategic technical analysis.

If you are highly analytical, deeply technical, passionate about AI security, and motivated by uncovering insights that influence product and go-to-market strategy this is your opportunity to make a real impact. You will research and analyze the evolving AI threat landscape, evaluate emerging technologies, and help shape how Check Point competes and leads in the AI security domain.

Key Responsibilities
Conduct in-depth technical research and hands-on analysis of competitor products and AI security solutions focusing on AI-Security and prevention capabilities
Gather and synthesize intelligence from public sources, customer feedback, analyst reports, and hands-on lab testing to understand and counter competitor claims.
Track and analyze the AI threat landscape, including adversarial AI, generative AI risks, and LLM-related security trends.
Develop competitive materials (battlecards, deep-dive reports, technical comparisons) to empower Check Points sales, marketing, and product teams.
Collaborate with R&D, Product Management, and Threat Intelligence teams to validate findings and identify technical differentiators.
Engage with sales engineers and field teams to deliver competitive enablement sessions, presentations, and webinars.
Monitor and influence analyst firms (Gartner, Forrester, IDC) with data-driven competitive insights about Check Points AI security capabilities.
Support cross-functional strategy initiatives involving AI security positioning, product development, and market readiness.
Work proactively to identify future competitors, market disruptors, and technology shifts related to AI and cybersecurity.

We are building the macOS agent that powers GenAI Protect, Check Points flagship initiative to secure AI workflows across endpoints, browsers, and SaaS. In this role you will help define how AI and security intersect at the OS level and solve problems no one has solved before. If you want to work on technology that sits on the critical path of how people and machines use GenAI every day, this is where you want to be.





Key Responsibilities
Design and own the GenAI protection stack for macOS, from kernel extensions to network interception.
Develop advanced telemetry and behavioral hooks that understand AI-driven activity patterns.
Work with Windows, BE, and AI engine teams to deliver a consistent multi-OS experience.
Shape the future of agent-based protection for AI-native apps and IDEs.
Participate in product direction and security modeling discussions.