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We are looking for a visionary AI Lead to build our internal AI platform and architect adaptive intelligence systems that serve as a dedicated security architect for each of our customers. You will lead a team of AI Researchers and Engineers to move beyond simple integrations and build true autonomous security solutions.
What You Will Build:
Autonomous Workflows: Build agents that execute security workflows end-to-end, automating detection, investigation, and response processes.
Runtime Defense: Productize research into active runtime guardrails and defensive control mechanisms.
Internal AI Platform: Build the shared infrastructure for models, training, and evaluations to enable safe, scalable AI features across the organization.
Adaptive Intelligence: Oversee the development of models that learn from customer-specific environments to generate high-signal, personalized insights.
Responsibilities:
Lead the AI Research Group, managing AI Researchers, Engineers, and DevOps.
Own the intelligence engine end-to-end, delivering next-generation analytics and contextual visualization features.
Drive the strategic "build vs. partner vs. buy" decisions for cloud prevention and AI controls.
Collaborate with the Threat Team to develop AI-driven threat detections against emerging attack vectors and novel AI threats.

As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group.
If youre talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.

we are looking for a Salesforce Consulted Team Leader. As Salesforce Team Leader at our company, You will lead a team of Salesforce Consultants, collaboratively with others to create custom, scalable processes for our customers. You will lead technical requirements gathering sessions and produce technical requirements and design documents. You will be managing the technical delivery of integrations, security, single-sign-on and application customization.
Summary of Key Responsibilities
Lead a team of Salesforce Consultants. Working with the business to a clear definition and design, implementation, testing, release to production and communicate to the relevant teams
Provide hands on expert level assistance on technical issues
Mentor the team members and be a source of technical innovation for the team
Find creative solutions to complex technical and integration challenges
Introduce new methodologies, technologies, and tools to the technical ecosystem.

Data has never been more valuable, and more vulnerable. As cyber threats evolve and regulations tighten, organizations struggle to answer one key question: Is my data secure?
At our company, we take a different approach: we protect data from the inside out. Our fully autonomous Data Security Platform enables organizations to continuously reduce risk through intelligent automation, not manual effort.
Were looking for an experienced R&D Group Leader to lead the Remediation domain, owning the systems that actually fix risk at scale, from policy definition to automated execution across customer environments.
This role sits at the heart of our companys value: turning insights into real, safe, automated actions that reduce exposure across enterprise data.
We work in a flexible, hybrid model.
What Youll Do
Leadership & Ownership
Lead and grow a group of engineers responsible for Data Lifecycle Automation (DLA), policies framework, and remediation automations
Own delivery, quality, and operational excellence of production systems running at scale
Define technical direction aligned with product and business goals
Product & Impact
Drive development of customer-facing remediation capabilities (e.g., permissions cleanup, stale access removal, exposure reduction)
Partner closely with Product, Security, and Customer Success to maximize real-world risk reduction outcomes
Translate complex security problems into scalable, automated solutions
Architecture & Systems
Own the design of distributed, highly scalable microservices handling policy evaluation, recommendation generation, and action execution
Ensure high reliability for real-time / near-real-time remediation flows
Drive best practices across CI/CD, observability, testing, and system resiliency
Enhance the execution of dev velocity and efficiency of leveraging AI agents.
Execution & Scale
Manage full lifecycle: ideation → design → production → customer impact
Balance innovation with operational stability in a fast-moving SaaS environment
Lead cross-team initiatives across Platform, access, Privacy, and AI domains
People Leadership
Mentor managers and senior engineers
Build a strong engineering culture focused on ownership, quality, and impact
Recruit and develop top-tier talent.

We're looking for a Head of R&D, Piano to join us and help scale our teams, technologies, and processes to the next stage of growth. In this role, youll play a key part in building and scaling a high-performing engineering team, ensuring alignment between technology and business goals, and fostering a strong development culture. This is a unique opportunity to combine technical leadership, people management, and organizational influence - all within a fast-paced, high-impact environment.
What Youll Be Doing:
Lead and scale high-performing engineering teams, driving execution, delivery, and growth.
Partner closely with product, design, data, and business stakeholders to shape roadmap and priorities.
Bridge product vision and engineering execution, making strategy actionable.
Own key architectural and technical choices that enable scale and continuous product evolution.
Identify bottlenecks, streamline processes, and boost team velocity through org and workflow changes.
Coach and mentor engineers, fostering growth, ownership, and impact.
Uphold high standards of code quality, collaboration, and engineering culture.

We are looking for an outstanding Research Team Lead with deep hands-on expertise in large-scale distributed systems, AI framework infrastructure, and performance optimization on custom accelerators. If you are a visionary technical leader, a skilled communicator, and a team builder who thrives at the frontier of systems and AI research - you're welcome on board.
What Will You Be Doing?
Lead and grow a world-class team of researchers and engineers working on distributed AI infrastructure and systems software
Architect and own the software infrastructure enabling distributed training and inference on Huawei's custom accelerator hardware (e.g., Ascend NPU)
Drive research and development on communication libraries, runtime systems, memory management, and graph execution & synchronization at scale
Optimize end-to-end performance across large-scale clusters, covering both scale-up (multi-device) and scale-out (multi-node) configurations
Design and implement high-performance communication backends and collective operations (AllReduce, AllGather, broadcast) for distributed training workloads
Collaborate cross-functionally with hardware architects, compiler teams, and framework engineers to co-design hardware-software solutions
Publish and present research findings at top international venues (NeurIPS, EuroSys, SC, MLSys, OSDI) and represent the team externally
Mentor engineers and researchers, conduct performance and growth reviews, and shape team culture and technical direction
Partner with top academic institutions and open-source communities to advance the state of the art in distributed AI systems

We are looking for an outstanding Research Team Lead with deep hands-on expertise in large-scale distributed systems, AI framework infrastructure, and performance optimization on custom accelerators. If you are a visionary technical leader, a skilled communicator, and a team builder who thrives at the frontier of systems and AI research - you're welcome on board.
What Will You Be Doing?
Lead and grow a world-class team of researchers and engineers working on distributed AI infrastructure and systems software
Architect and own the software infrastructure enabling distributed training and inference on Huawei's custom accelerator hardware (e.g., Ascend NPU)
Drive research and development on communication libraries, runtime systems, memory management, and graph execution & synchronization at scale
Optimize end-to-end performance across large-scale clusters, covering both scale-up (multi-device) and scale-out (multi-node) configurations
Design and implement high-performance communication backends and collective operations (AllReduce, AllGather, broadcast) for distributed training workloads
Collaborate cross-functionally with hardware architects, compiler teams, and framework engineers to co-design hardware-software solutions
Publish and present research findings at top international venues (NeurIPS, EuroSys, SC, MLSys, OSDI) and represent the team externally
Mentor engineers and researchers, conduct performance and growth reviews, and shape team culture and technical direction
Partner with top academic institutions and open-source communities to advance the state of the art in distributed AI systems

we are looking for a Computing Network & System Architecture Group Leader.
In this role, you will be responsible for several teams of architects, engineers and software developers, all working together to conduct state-of-the-art R&D in system and network architecture.
As the group lead, you will guide and mentor the individual team leads, and also conduct hands-on work leading architecture, technology innovation and technical planning and of high-performance computing cluster network, which oriented at AI, HPC, and big data.

We are seeking an experienced C++ Developer with a strong background in building sophisticated systems to join our innovation group. This role focuses on developing a Browser Detection and Response (BDR) System aimed at enhancing browser security for users worldwide.
Key Responsibilities:
Design, develop, and maintain new complex C++ features with an emphasis on chromium browser security and internals.
Collaborate with teams across the world for productization
Contribute to the innovation and enhancement of security features within browser technologies.
Why Join Us:
Work on projects impacting billions of users.
Collaborative and innovative environment.
Competitive salary and benefits.

our company offers hope to patients suffering from rare and severe diseases by forming partnerships with emerging biotech companies to accelerate access to highly innovative therapies in international markets. As the creator and leader of the global partnership category in the pharma industry, we strive to be Always Ahead and work relentlessly to bring therapy to patients in need, no matter where they live. Our values are at the core of every action we take, and we are committed to going above and beyond to benefit the patients we serve. We are a dynamic, fast-paced company operating in over 34 countries on 5 continents. We are looking for out-of-the-box thinkers, people who are passionate, caring, agile, and adaptive, to join us on our mission. If you are looking to make a difference in people's lives, we invite you to join us! we are one of the worlds largest commercial partners for leading global biotech companies. We are seeking an ERP Priority Lead in Israel, to join our Global Information & Business Technology (IBT) team. In this role, you will lead and support endtoend business processes across the organization, deliver ERP solutions based on Priority, manage system enhancements, and drive integrations with multiple thirdparty platforms. We are looking for a highly motivated, handson professional with strong analytical, technical and project management skills, a collaborative mindset, and a cando attitude.
Responsibilities:

* Lead, manage, and implement Priority ERP projects, including full endtoend ownership of processes and deliverables.
* Oversee ongoing system service, maintenance, and operational stability, ensuring high availability and performance, and provide 2nd+ level support.
* Analyze business requirements, design system solutions, and deliver high-quality implementations that enhance organizational efficiency.
* Design and develop Priority customizations and system extensions to improve functionality and User Experience.
* Ensure successful project delivery within defined timelines, scope, and budget.
* Collaborate with global stakeholders and provide user guidance, training, and ongoing support.
* Manage external partners, including consultants and developers, to ensure alignment and successful execution.
* Drive continuous improvement initiatives by identifying gaps and optimizing ERP -related processes.
City:
Petah Tikva

We are seeking an Engineering Manager with a solid background in Software Development and people leadership. As a leader within the Engineering team, you will manage a team of Full Stack Engineers in a fast-paced environment while collaborating with QA, Product, UX, Senior Management, and Customer Support teams. You will be responsible for guiding your team through designing and developing both enhancements to existing product features and entirely new ones, ensuring delivery excellence and continuous team growth.

Responsibilities
Lead, mentor, and grow a team of full stack developers, fostering a culture of collaboration, accountability, and continuous improvement.
Champion Agile practices across the team, ensuring sustainable development through good estimation, effective branching strategies, automated testing, and continuous deployment.
Partner with Product, UX, and other stakeholders to translate business needs into technical roadmaps and priorities.
Oversee the analysis of needs and requirements for existing and proposed systems, ensuring alignment with business objectives.
Guide the development of technical specifications and review architectural decisions made by the team.
Ensure the team delivers high-quality software on schedule through effective planning, code reviews, and quality standards.
Articulate the interdependencies and impact of design choices to both technical and non-technical stakeholders.
Drive the adoption and enhancement of engineering processes, tools, and best practices across the team.
Remove blockers, manage risks, and escalate issues proactively to keep delivery on track.
Coordinate with operations and support teams to resolve production issues and improve system reliability.
Conduct regular one-on-ones, performance reviews, and career development conversations with direct reports.
Participate in hiring, onboarding, and workforce planning to build and retain a high-performing team.

We are seeking an exceptional Software Team Lead to guide the development of our runtime software stack. This role requires a rare combination of deep technical expertise, hands-on coding ability, and proven leadership experience. You will own the architecture, implementation, and system-level integration of drivers, runtime components, and low-level system software, driving technical excellence and performance across the stack. The ideal candidate thrives under pressure, takes full ownership of outcomes, and sets the bar for quality and innovation in the team.
Responsibilities
Lead and mentor a team of runtime and embedded software engineers, setting the standard for technical excellence.
Define and drive the architecture, roadmap, and performance expectations for the runtime stack, ensuring scalable, robust, and high-performance solutions.
Oversee cross-team software projects from concept through production, while remaining hands-on in coding, debugging, and system bring-up for critical components.
Establish rigorous standards for testing, CI/CD, and software lifecycle processes, ensuring maintainable and reliable delivery.
Conduct architecture and performance reviews, providing decisive guidance in ambiguous or high-pressure situations.
Collaborate deeply with architecture, compiler, hardware, and platform teams to deliver cohesive, system-level solutions.
Provide technical leadership to resolve conflicts, make tough trade-offs, and uphold engineering excellence.
Recruit, mentor, and retain top-tier engineering talent.

We are seeking a talented engineering team leader to lead the team responsible for low-level optimization of AI models and kernels for our unique hardware architecture.
Responsibilities
Lead and mentor a team of engineers developing AI libraries and accelerating AI kernels
Collaborate with hardware, compiler, and device software teams to improve performance.
Develop our optimized AI libraries and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.

we are building a real-time AI runtime platform for security algorithms running inline across our global cloud and physical PoPs.
We are looking for a hands-on AI Platform Team Lead to build and lead the team behind this platform: a high-throughput, low-latency engine that runs GPU-based models, from MMBERT-style models to LLMs, together with CPU-based heuristics and security logic.
This is a core infrastructure role for someone who wants to own the runtime layer of AI security at scale: performance, reliability, orchestration, GPU efficiency, and production-grade execution in the traffic path.
The team will also own the model lifecycle required to take AI security algorithms from research to large-scale production, working closely with research and algorithm teams.
Responsibilities
Build and lead our companys AI Platform team: hiring, mentoring, architecture, technical direction, and execution.
Own the AI security runtime platform for high-throughput, low-latency inline security decisions across our companys global cloud and PoPs.
Design the orchestration layer for running GPU models, CPU heuristics, and security logic as one production engine.
Own production readiness: observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health.
Own the model lifecycle platform: registry, versioning, deployment, monitoring, and safe production rollout.
Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.
Define the long-term platform strategy for AI runtime and model serving at our company.

We are looking for a Hands-On Team Lead - Agentic Engineering to lead, build, and actively contribute to a new team focused on applying AI agents, and intelligent workflows to improve business processes across the organization.
This role is both a technical leadership role and a hands-on engineering role. The successful candidate will manage the first Agentic Engineer, help grow the team, and personally contribute to the design, development, integration, and deployment of agentic AI solutions.
The ideal candidate is someone who can lead from the front: writing code, designing architectures, building prototypes, reviewing technical work, solving complex implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI-driven solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.