Jobs in Tel Aviv-Yafo

The complexity of the chip has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. The NVIDIA System-On-Chip (SOC) group is looking for a top ASIC Engineer with a curiosity about SOC design automation, RTL integration, chip build and assembly, and padring design and verification. You should have real passion for methodologies and automation solutions that enable SOC creation in the most optimized way. In this position, you will get the opportunity to build complex networking chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams. What you'll be doing: • Implement chip level design through collaboration with cross-functional teams (Functional Design, DFT, Design Verification, System Verification, STA, and Physical Design). • Be exposed and work on a variety of functional and structural challenges. Including functional debug, physical design readiness, emulation, resolve design quality issues. • Daily work involves aspects of chip level design, including partitioning, CDC, RDC, trial synthesis, design quality checks • Taking part in flows development and deployment What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering. • 7+ years of actual design experience in chip design • Solid hands-on RTL design skills in System-Verilog • Proficiency in at least one scripting languages like python, bash, tcl. • Great teammate. Way to stand out from the crowd: • Passion for quality. Experience with delivery to physical design, emulation, firmware and other customers NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry! #LI-Hybrid

NVIDIA is hiring exceptional software engineers to build and optimize the core inference infrastructure for large language models. Join the TensorRT‑LLM team - the group defining how generative AI performs at global scale on NVIDIA GPUs. We’re looking for engineers who love squeezing every drop of throughput, memory efficiency, and scalability out of modern model runtimes. Your work will directly shape the frameworks behind state‑of‑the‑art LLM inference used across NVIDIA and the AI community. Join us to redefine what “fast” means for LLM inference - building the frameworks that power the next generation of generative AI at scale. What you'll be doing: • Design, implement, and optimize high‑performance inference pipelines for large language models running on GPUs • Profile and tune model execution across the stack - from scheduler design to kernel fusions and everything in-between • Design and experiment with memory management strategies for improved memory bandwidth optimization and cache efficiency • Innovate and Implement cutting-edge techniques such as Speculative Decoding, Context Caching, and FP8/INT4 quantization to push the boundaries of tokens-per-second-per-watt • Develop and maintain benchmarking and testing systems that quantify latency, utilization, and efficiency What we need to see: • Bachelor's, Master's, or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or related computing-focused degree (or equivalent experience) • 5+ years of relevant software development experience. • Excellent Python programming skills, software design, and software engineering skills • Experience working with deep learning frameworks like PyTorch and HuggingFace • Experience profiling and debugging performance at all levels - Python runtime, PyTorch internals, and GPU utilization metrics • Awareness of the latest developments in LLM architectures and LLM inference techniques • Proactive and able to work without supervision • Excellent written and oral communication skills in English Ways to stand out from the crowd: • Contributions to inference frameworks such as TensorRT‑LLM, vLLM, SGLang, or similar systems • Demonstrated expertise in performance modeling, memory optimization, distributed model execution or GPU execution workflows • Hands‑on experience with NVIDIA profiling tools (Nsight Systems, PyTorch Profiler, custom benchmarking harnesses) • Strong grasp of the trade‑offs shaping inference efficiency: compute vs. memory, scheduling vs. batching, latency vs. throughput Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com. #LI-Hybrid

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world As a Network Modeling Architect, you'll contribute to our creative and cooperative setting, focusing on the ConnectX network adapter, steering the ship of the next generation architecture. What you'll be doing: • Develop our simulation model to enable research and analysis of new technologies. • Use our simulation model to define the next generation of our products. • Be part of the team that defines the ConnectX Network Adapter chip and Bluefield Data Processing Unit architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). • Collaborate with other research teams. What we need to see: • B.Sc. in Electrical / Computer Engineering or Computer Science. • 5+ years of relevant experience (networking architecture, software development, chip design, control systems, etc.) • High motivation to learn and explore new fields. • Problem solving skills. • Excellent interpersonal skills. • Passion for and attention to details in design and a high focus on design quality. Ways to stand out from the crowd: • Experience with network modeling tools such as OMNeT and NS3. • Background with AI workloads. • Experience with RDMA networking. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! #LI-Hybrid

NVIDIA is looking for an excellent Software Engineer for the Switch SDK Group. You will join the SDK group and take our product to next level, working closely with various other design and architecture teams and gain a deep understanding of NVIDIA’s products and technologies. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you’ll be doing: • Design, develop, optimize and maintain APIs, tools and libraries for Switching, Routing, Analytics, Telemetry and many other modules • Collaborate with team members, Architects, QA teams, and customers (both external and internal) • Innovate & rapidly develop POC prototypes that can then be developed into full-fledged products/solutions What we need to see: • B.Sc. in Software Engineering / Computer Science / related field or equivalent work experience will be considered as well • 10+ years of experience as a Software Engineer, including experience with C programming • Experience with Embedded/ RT Embedded systems • Excellent C programming skills, with a keen eye for performance and writing optimized code • Strong analytical skills, deep knowledge of algorithms and proficiency with data structures • Excellent communication and documentation skills Ways to stand out from the crowd: • Previous experience with Ethernet Switching or Routing protocols • Hands on Linux development, user-space and/or kernel-space NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #LI-Hybrid

NVIDIA has been at the forefront of the deep learning revolution, pioneering innovations that have transformed the entire field. As the leading provider of GPUs and AI computing platforms, NVIDIA has empowered researchers and engineers worldwide to accelerate breakthroughs in artificial intelligence. We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team brings the latest research in LLM inference — from novel decoding strategies to quantization schemes — into production across NVIDIA's hardware lineup, from large data center servers to powerful edge devices. We work on the most advanced architectures in the field, with a focus on NVIDIA's own. What you'll be doing: • Implement and optimize inference algorithms for LLM and omnimodal architectures, including hybrid Mamba-Transformer and mixture-of-experts models • Profile inference pipelines using NVIDIA's profiling and simulation tools. Correlate simulation predictions against real hardware across data center and edge devices • Write and tune GPU kernels (CUDA, Triton) for operators like fused MoE layers, SSM state updates, and quantized GEMMs • Solve distributed inference problems: expert parallelism, communication-compute overlap, collective tuning, multi-node deployment • Build production-grade software inside major open-source libraries - vLLM, SGLang, Dynamo, FlashInfer • Own optimization features end-to-end, from scoping through delivery, collaborating with research, product, and engineering teams worldwide What we need to see: • B.Sc., M.Sc., or equivalent experience in Computer Science or Computer Engineering • 5+ years of hands-on software engineering experience in performance-critical systems • Solid understanding of deep learning architectures (Transformers, SSMs, MoE, …) • Experience with systems where hardware constraints matter: GPU programming, memory hierarchy, networking, or distributed computing • Strong software engineering fundamentals: clean design, extensibility, testability. Good judgment about when complexity is warranted • Effective communicator who works well across teams and time zones • Experience optimizing deep learning workloads on NVIDIA GPUs using roofline models, Nsight/PyTorch profilers and end-to-end traces Ways to stand out from the crowd: • Contributions to open-source inference runtimes and libraries - vLLM, SGLang, FlashInfer, Dynamo or similar • Hands-on work with LLM quantization (FP8, NVFP4, MXFP8, mixed-precision) and practical understanding of numerical precision tradeoffs • Track record with distributed inference at scale: tensor parallelism, pipeline parallelism, expert parallelism, disaggregation, multi-node orchestration • Deep knowledge of the latest LLM architectural trends: multi-token predictors, sparse hybrid models, attention and state-space mechanisms • Experience with performance modeling and simulation-to-silicon correlation NVIDIA is widely considered one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you! We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer. We highly value diversity in our current and future employees. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

NVIDIA is looking for best-in-class Physical Design CAD Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • You will be in charge of developing physical design, synthesis, STA and Logic eq methodologies for implementation of networking chips and SOCs. • Work closely with block owners. full Chip STA engineers and project managers to assure high quality and timely convergence. • Come up with unique and creative solutions to the state of the art physical design problems that are needed for Our chips. • Additional responsibilities include participating and developing flow and tool methodologies for chip floorplan, power and clock distribution, P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • At least 2 years of relevant experience • Proficiency using Python, Perl, Tcl, Make scripting. • Expertise in analysing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes. • Knowledge in physical design and optimization e.g. placement, routing, cell sizing, buffering, logic restructuring, etc. to improve timing and power required and implementing them through ECOs is required. • Knowledge in process variation effect modelling and experience in design convergence taking into account variations. • Successful track record of delivering designs to production is necessary. • Self-motivation, attention to detail, and good written, verbal, and presentation skills are critical to success in this role. Ways to stand out from the crowd: • Familiarity with synthesis, place and route, STA EDA tools from Synopsys (DC/FC/PT), Cadence (Innovus/Tempus) • Experience in methodology definition / flow owner of synthesis / Place and Route/ STA steps is an advantage. • Great teammate. • Ownership, self-learning skills, and ability to work autonomously. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry! #LI-Hybrid

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We’re seeking a hands-on and forward-thinking System Team Leader to drive operational excellence across Cato’s global IT infrastructure. In this role, you will lead a team of skilled System Administrators, ensuring efficient delivery of IT services, robust infrastructure performance, and alignment with security, compliance, and SLA standards. The ideal candidate is a strong technical leader who thrives on problem-solving, innovation, and continuous improvement—capable of balancing day-to-day operations with long-term strategic initiatives. Responsibilities: • Lead and mentor System Administrators, managing priorities, workload, and professional development. • Oversee the installation, configuration, maintenance, and troubleshooting of IT services across corporate and R&D lab environments. • Manage cloud applications and services, including Microsoft 365, Intune, AWS, Azure, and endpoint security solutions. • Take end-to-end ownership of incidents and projects, ensuring timely escalation, proactive stakeholder communication, and follow-through to completion. • Identify operational gaps, anticipate risks, and independently drive improvements that prevent recurring issues. • Monitor and optimize network performance, availability, utilization, and Quality of Service (QoS). • Maintain compliance with corporate security standards and applicable regulatory requirements. • Improve operational efficiency through scripting, APIs, workflow automation, and AI-assisted IT operations. • Track SLA attainment, service availability, resolution times, and backlog health; use these measures to prioritize improvements and strengthen service reliability. Requirements: • At least five years of System Administration experience, including three years in a managerial or leadership role (must). • Proven expertise in Windows, macOS, and Linux environments and administration best practices (must). • Extensive hands-on experience with routing, switching, firewalls, and VPN solutions (must). • Demonstrated experience managing hybrid-cloud infrastructure (must). • Ability to automate IT operations using Bash, Python, or PowerShell (must). • Familiarity with AI-assisted IT operations, API integrations, and workflow automation platforms (advantage). • Excellent written and verbal communication skills in Hebrew and English. • Availability for on-call duty and urgent response outside regular working hours in case of critical outages (must). Personal Skills: • Strong leadership and interpersonal skills, with clear communication and accountability. • Analytical and creative problem-solving, with the initiative to identify opportunities and deliver measurable improvements. • Ability to manage competing priorities and projects while maintaining ownership through completion. • A structured, resilient approach under pressure and a commitment to continuous learning. • Approachable, hands-on manager and a true team player, fostering collaboration, trust, and open communication.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for an experienced Security Architect to join the Cyber Security organization, reporting to the Security Architect Manager. This role focuses on designing and implementing secure architectures across corporate networks and cloud environments. You will play a key role in defining secure solutions, reviewing system designs, and ensuring security is embedded across enterprise infrastructure. The ideal candidate brings strong hands-on expertise in network and cloud security, along with the ability to work closely with IT, Infrastructure, DevOps, and Engineering teams to drive secure and scalable implementations. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include to: • Design and implementing secure architectures across corporate networks, cloud platforms, and hybrid environments. • Define and maintain security standards, guidelines, and reference architectures aligned with organizational requirements. • Review and approve architecture and design of new systems, infrastructure, and network changes. • Design and support secure enterprise network architectures, including segmentation, Zero Trust, and remote access solutions. • Define and implement controls for firewalls, ZTNA, proxies, and network access control (NAC). • Design secure cloud architectures including IAM, networking, and workload protection. • Ensure proper implementation of cloud security controls such as segmentation, encryption, and monitoring. • Define and support identity and access management controls, including SSO, MFA, and privileged access. • Contribute to endpoint security architecture, including EDR/XDR and device hardening standards. • Identify security risks and architectural gaps and recommend mitigation strategies. • Participate in architecture reviews, risk assessments, and security design discussions. • Collaborate with SOC, Vulnerability Management, IT, and Engineering teams to improve overall security posture. • Support implementation of security architecture initiatives and improvements across the organization. Cybersecurity Architecture • Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles. • Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives. • Translate threat models, business requirements, and risk assessments into practical security controls. • Establish security-by-design principles across cloud, infrastructure, application, and platform architectures. • Identify architectural security gaps and drive remediation roadmaps. Kubernetes and Cloud-Native Security • Design and implement security architectures for Kubernetes-based environments and cloud-native platforms. • Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications. • Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management. • Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity. • Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments. • Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable. • Establish security controls for container orchestration platforms across development, testing, and production environments. • Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads. Cloud Infrastructure Security • Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments. • Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management. • Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement. • Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies. • Ensure alignment with organizational security requirements and relevant industry standards. Secure Development and DevSecOps • Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations. • Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines. • Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning. • Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls. • Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery. • Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams. Security Engineering and Risk Management • Develop technical security standards, architecture patterns, and security control baselines. • Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews. • Define security requirements for identity, access, data protection, network security, workload isolation, and observability. • Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness. • Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit. • Track security findings and drive measurable improvements in the organization’s security posture. We expect you to have: • 6+ years of experience in cybersecurity, with a focus on cloud security, networks, and/or SDLC • Experience working with cloud platforms (AWS, GCP, Azure) and cloud security best practices. • Strong hands-on experience in enterprise network security (firewalls, segmentation, VPN, proxies, NAC, etc.). • Solid understanding of identity and access management (IAM), Active Directory / Entra ID, and access control models. • Experience working in hybrid environments (on-prem + cloud). • Strong understanding of security architecture principles and risk-based design. • Experience working cross-functionally with IT, Infrastructure, DevOps, and Engineering teams. • Strong analytical and problem-solving skills. It will be an added bonus if you have: • Experience with Zero Trust architecture and network segmentation strategies. • Familiarity with cloud security tools (e.g., Wiz). • Experience with enterprise identity platforms (Entra ID / Azure AD, Okta, etc.). • Knowledge of regulatory and compliance frameworks (ISO 27001, SOC 2, NIST, etc.). • Experience in SaaS, cloud-native, or enterprise-scale environments. • Relevant certifications such as CISSP, CCSP, or equivalent. • BSc in Computer Science, Information Security, or a related field. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.You’ll play a key role in scaling our global infrastructure footprint across the EU markets. Travel: This position may require on-site presence at data centers during key deployment phases. Your responsibilities will include: • Lead end-to-end delivery of new data center programs, from design through handover to operations. • Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution. • Translate business and technical requirements into actionable project plans and measurable deliverables. • Oversee vendor and contractor execution, ensuring quality, budget, and schedule. • Provide structured program reporting, including dashboards, documentation, and executive updates. We expect you to have: • 7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments. • Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed. • Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments. • Communication and stakeholder management skills; able to translate complex topics clearly. • Leadership by influence and example in cross-functional or matrixed teams. • Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall). It will be an added bonus if you have: • Understanding of construction projects structure and key risk factors in facility build-outs. • Knowledge of HPC • Experience in business processes design or automation tools development. • PMP, PRINCE2, or similar industry certifications. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Hybrid position, Monday–Friday At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Join us on our journey! We are looking for a driven Business Development Representative to join our fast-growing Sales Development Unit. In this role, you will work closely with Marketing and Sales to help drive JFrog’s solutions. You will develop new business opportunities through outbound prospecting, cold calling, email campaigns, and inbound lead follow-up. As a Business Development Representative at JFrog you will... • Internalize JFrog’s mission, vision, and values • Generate new business pipelines through outbound prospecting activities and inbound lead follow-up • Maintain sales data through Salesforce that will influence monthly/quarterly sales reports, pipelines, forecasts, etc • Research and evaluate prospects prior to engagement • Establish active communication and engagement with prospects to create new leads and sales opportunities • Collaborate with sales and marketing to build a sales strategy for generating new prospects To be a Business Development Representative at JFrog you need... • English native – Required • German (Native or Fluent) – advantage • Hebrew – Advantage • Strong communication and interpersonal skills • Ability to multi-task and work in a fast-paced environment • Motivated by individual and team achievement • Highly organized with the ability to multitask, prioritize, and manage time efficiently • Knowledge of Salesforce and use of sales acceleration tools like Outreach

Hybrid position, Monday–Friday At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological innovation. JFrog is a special place with a unique combination of brilliance, spirit, and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software”. Wouldn't it be amazing if you could join us on our journey? We are looking for a Senior Solution Engineer to be on the front lines, working closely with our customers and prospects, guiding them on how to build robust DevSecOps processes. You will work with our sales, product, customer success & engineering teams to help customers understand the value of JFrog Solution from a technical and business perspective. If you love working with brilliant people, being part of an energetic team and changing the world of software, you might be the perfect Frog to join our team! As a Senior Solution Engineer in JFrog you will... • Collaborate with account executives to understand Customer requirements and develop customized technical solutions. • Translate business objectives into technical requirements and solution designs. • Conduct discovery sessions, technical presentations, and product demonstrations for prospective customers • Conduct compelling Proof of Values (POVs), and product demonstrations to showcase the value and impact of JFrog solutions. • Support transition from pre-sales to post-sales, ensuring continuity and alignment of expectations. • Respond to RFPs, RFIs, and technical questionnaires. • Represent JFrog at industry events and conferences, highlighting the transformative potential of JFrog products. • Influence JFrog’s product roadmap by championing customer feedback and identifying trends in the DevOps and DevSecOps landscape. • Stay ahead of industry trends, continuously enhancing your knowledge of emerging technologies in DevOps, cloud infrastructure, and software development. To be a Senior Solution Engineer in JFrog you need... • 5-7+ years of experience in technical sales, presales, or sales engineering roles (experience with MEDDPICC is a plus). • Proven expertise in DevOps tools and methodologies, including Docker, Kubernetes, CI servers, Git, Artifactory, and build tools. • Strong experience building software pipelines using diverse DevOps tools. • Hands-on experience with Linux and cloud platforms (AWS, Azure, or GCP) – mandatory. • Familiarity with software architecture design, scalable product development, and on-premise/cloud hybrid environments. • Experience delivering POVs and technical demonstrations to diverse stakeholders, from technical teams to business leaders. • A customer-centric mindset with a "can-do" attitude and a passion for learning and solving complex problems. • Exceptional communication and presentation skills, capable of translating technical concepts into business value for varied audiences.

Hybrid position, Monday–Friday At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological innovation. JFrog is a special place with a unique combination of brilliance, spirit, and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software”. Wouldn't it be amazing if you could join us on our journey? We are scaling our Revenue Enablement function here at JFrog and looking for our next Sales Enablement Field Manager to join EMEA team. Reporting to our Global Head of Sales Enablement, you’ll take a critical role in steering the current Enablement function, focusing on programs and tools, and be responsible for building and improving our Enablement Center of Excellence. This includes managing strategic learning and development initiatives with our sales learning portals, defining sales learning activities, tooling, certifications, ad-hoc training camps, etc., to increase sellers' skills and sales effectiveness. As a Revenue Enablement Manager in JFrog you will... • Build relationships with both regional sales leaders as well as sales reps to understand their goals and challenges while developing a plan for how to best enable our Frogs to WIN. • Develop training courses as part of the Field Academy to meet the needs of all GTM roles including Sales, Solution Engineers, Customer Success, RevOps and our Partners teams. • Implement programs designed to drive pipeline & collaboration across JFrog’s Field Sales teams, Support, Product and R&D. • Enhance the existing process for new Sales onboarding and continuous education. • Create training material via facilitating the creation of content and collateral creation designed to serve multiple departments within JFrog. • Track and measure the results of enablement programs and content, and regularly report results to key business stakeholders • Work cross-functionally with Marketing, R&D, and Product leaders to obtain and scope product materials, case studies, and whitepapers. • Lead special projects related to JFrog’s enablement activities with cross-organization teams: Sales Kick-Off, Security Bootcamps, ML Bootcamps etc. • Standardize sales training practices, identify the challenges while working with the teams to solve & design the trainings, document the flows, and share the enablement with the appropriate entities in JFrog. • Define, measure, and report on operational metrics to analyze enablement efficiency in relation to sales performance. • Partner with Product to define roadmap priorities and implementation and monitor the work toward timely readiness. To be a Revenue Enablement Manager in JFrog you need... • 10+ years in enablement, sales or sales management, sales productivity or product enablement • Proven Experience in business operations execution in a matrix environment. • Proven experience in implementing sales methodologies (Command of the Message, Challenger etc), and Sales Qualification Frameworks (MEDDICC etc). • Ability to thrive in a fast-paced & continuously changing environment • High degree of familiarity teaching technically complex topics to non-technical audiences • Experience in planning and forecasting with a high level of organizational skills • High-level degree of accountability for SLAs • Strong executive presence, communication, collaboration, and influence skills • Comfortable presenting in front of large groups • Proven track record of producing and hosting educational events, driving adoption, and measuring the impact of enablement programs. • Ability to conduct analyses and translate results to easily digestible communications including messages and presentations • Experience with Salesforce required • Experience with an LMS and or CoM is a plus but not required • Familiarity with the Security / DevOps Domain a plus but not required.

At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological innovation. JFrog is a special place with a unique combination of brilliance, spirit, and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software”. Wouldn't it be amazing if you could join us on our journey? We are looking for top-notch Developer Support Engineers, to be partners rather than just employees and be the technical focal point for JFrog customers. Hybrid position based in our Netanya office. As a Developer Support Engineer at JFrog you will... • Troubleshoot and investigate complex customer CI/CD scenarios and provide innovative solutions for their requirements • Develop scripts in Bash, Python, and Groovy for debugging and automating • Set up JFrog applications and 3rd party products in various development environments • Analyze log files, thread dumps, HTTP traffic, JVM and OS parameters • Reproduce customer scenarios and fill relevant bugs/features • Maintain and improve a knowledge base of known issues and solutions • Integrate and collaborate with JFrog’s R&D, QA, Release and Sales teams • Availability to work flexible hours and weekends when needed To be a Developer Support Engineer at JFrog you need… • B.Sc. or equivalent in Computer Science, Computer Engineering, or a related technical field • 2+ years of hands-on experience in technical roles (e.g., Tier 3 Support, NOC, Production Engineer, or Junior DevOps/SRE) • Proven ability to manage complex, escalated cases involving multiple architectures across multiple platforms • Deep experience in Linux (Systems Administration, Bash scripting, file systems). • Strong technical software-related debugging skills (Log analysis, root cause analysis, stack trace reading) • Ability to read and debug code in Java or another compiled language • Excellent spoken and written English • Knowledge/experience with: Databases (SQL), LDAP, NGINX, Apache Tomcat • Familiarity with the modern DevOps stack and lifecycle, including experience with CI/CD tools (Jenkins, GitHub Actions), Containerization (Docker, Kubernetes), Cloud Infrastructure (AWS/Azure), and IaC (Terraform) • Graduate of an advanced DevOps certification program

We Are Teva We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together. Our Team, Your Impact DADAI (Data, Analytics, Digital & AI Delivery) is building a next generation enterprise delivery engine that turns the company’s biggest opportunities into measurable outcomes using data products, digital automation and applied AI. The ambition is to combine startup pace with enterprise discipline: product thinking, predictable delivery at scale, strong engineering standards, and clear architecture, security and quality gates that enable speed without compromising control. DADAI has been shaped as an enterprise “factory”, 200+ engineers, designed to absorb significant demand across multiple global domains, industrializing the path from idea to production and continuous improvement while scaling through strategic partners and still preserving internal knowledge and ownership. This is a rare opportunity to join a new leadership organization and to help set how the Teva will use data, analytics and AI to modernize decision making, automate critical processes, and accelerate innovation across core functions and value chains. The Role We are seeking a highly hands-on senior architect to lead solution design across enterprise data, analytics, and AI initiatives in a Microsoft-first environment. This role is responsible for translating business requirements into secure, scalable, supportable architectures and guiding delivery teams through design, prototyping, implementation, reviews, and production readiness. The ideal candidate combines strong architecture leadership with proven hands-on depth in Power BI, Azure data platforms, and enterprise AI enablement. How You’ll Spend Your Day • Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost. • Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance. • Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams. • Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment. Your Skills and Experience • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. • 15+ years of IT experience, including 10+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms. • 2+ Years experience in hands-on delivery of with Microsoft-first AI platforms and services such as Azure OpenAI, Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns. • 7+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs. • Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews, code reviews, and production readiness checks. • Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements. • Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions. Key Skills • Hands-on technical leadership with a clear lead-by-example mindset. • Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements. • Ability to translate business problems into practical, delivery-ready technical solutions. • Strong troubleshooting, decision-making, estimation, and risk management capability. • Comfort working across distributed teams and external suppliers in enterprise delivery environments. Also Good to Have • Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns. • Experience with Microsoft Fabric, Power Platform governance, Azure DevOps, GitHub Enterprise, and CI/CD for analytics or AI solutions. • Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault. • Experience in life sciences, pharmaceuticals, or other regulated industries. • Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture. Core Technology Stack Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration. AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow. Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance. Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault. Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns. How We’ll Take Care of You At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community.  When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.  Already Working @Teva? Make sure to apply through our internal career site on Twist—your one-stop shop for career development Teva’s Equal Employment Opportunity Commitment Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

We Are Teva We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together. Our Team, Your Impact DADAI (Data, Analytics, Digital & AI Delivery) is building a next generation enterprise delivery engine that turns the company’s biggest opportunities into measurable outcomes using data products, digital automation and applied AI. The ambition is to combine startup pace with enterprise discipline: product thinking, predictable delivery at scale, strong engineering standards, and clear architecture, security and quality gates that enable speed without compromising control. DADAI has been shaped as an enterprise “factory”, 200+ engineers, designed to absorb significant demand across multiple global domains, industrializing the path from idea to production and continuous improvement while scaling through strategic partners and still preserving internal knowledge and ownership. This is a rare opportunity to join a new leadership organization and to help set how the Teva will use data, analytics and AI to modernize decision making, automate critical processes, and accelerate innovation across core functions and value chains. Location This role can be based in Israel (Tel Aviv), Germany (Ulm), India (Bangalore), Poland (Warsaw) or United Kingdom (Harlow). The Role The AI Technical Lead owns the technical delivery of production-grade AI systems across enterprise digital, data, and analytics environments. This role sets engineering direction and provides strong hands-on leadership to design, build, deploy, and operate enterprise AI capabilities on a Microsoft-first stack, including agentic systems, generative AI applications, AI-enabled automation, and ML-powered platforms, ensuring consistent standards, quality, governance, security, and reliable global operations. Partners with enterprise architecture, security, privacy, legal, and central AI/data governance teams to enable delivery teams (internal and external partners) to build scalable, compliant, and auditable AI solutions across regions, cloud environments, and delivery models How You’ll Spend Your Day • Accountable for all AI engineering activities with in the DADAI delivery factory. • Lead the design, build, and operation of enterprise AI solutions on a Microsoft-first stack, including Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, and Azure services. • Remain highly hands-on: review architecture and code, build proofs of concept, troubleshoot complex issues, and guide implementation teams through production hardening. • Define and enforce engineering standards for AI delivery, including evaluation, monitoring, release controls, security, privacy, and Responsible AI practices in regulated environments. • Work across architects, platform teams, security, and delivery stakeholders to ensure AI solutions are scalable, supportable, compliant, and aligned to business needs. Your Skills and Experience • 7+ years of proven experience leading and developing large (20+) engineering teams, including direct people management responsibilities, coaching, performance management, career development, and hiring in a complex enterprise environment. • 10+ years in software engineering, including senior hands-on design and delivery of applications and API in a modern Microsoft cloud environment. • 2+ delivering complex enterprise production GenAI and agentic solutions on Microsoft technologies such as Azure OpenAI, Azure AI Foundry, Copilot Studio, RAG, and evaluation workflows. • Strong Azure engineering background, including Azure Functions, App Services, AKS, API Management, Entra, CI/CD, monitoring, and production support. • 10+ years Hands-on technical leadership with proven ability to build POCs, MVPs and production applications, review code and architecture, troubleshoot production issues, and lead implementation teams by example. • 5+ years of experience working in enterprise or regulated environments with strong security, privacy, governance, and Responsible AI controls. • Strong communication and stakeholder management skills across architecture, security, delivery, and business teams. • BSc/BA in Computer Science, Software Engineering, Information Systems, or equivalent experience; relevant Azure or AI certifications are a plus. Key Skills • Hands-on builder and technical leader who can design, prototype, review, and unblock complex AI implementations. • Strong problem-solving across prompts, models, retrieval, orchestration, runtime behavior, performance, and cost. • Ability to translate business needs into practical technical solutions, delivery plans, and engineering trade-offs. • Practical understanding of AI SDLC, evaluation, monitoring, rollback, and operational readiness for production systems. • Clear communication and strong collaboration in cross-functional, global delivery environments. Core Technology Stack • AI platforms: Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, Prompt Flow • Azure engineering: Azure Functions, App Services, AKS, API Management, Logic Apps, Event Grid, Service Bus • Engineering and SDLC: Azure DevOps, GitHub Enterprise, Azure Machine Learning, CI/CD, evaluation pipelines, observability • Security and governance: Microsoft Entra, Purview, Key Vault, Defender, Azure Policy • Data and analytics: Azure AI Search, Microsoft Fabric, Azure Data Factory, Power BI, SQL How We’ll Take Care of You At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community.  When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.  Already Working @Teva? Make sure to apply through our internal career site on Twist—your one-stop shop for career development Teva’s Equal Employment Opportunity Commitment Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

We Are Teva We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together. Our Team, Your Impact The Director, Biosimilar Business Development plays a critical role in shaping and advancing the company's biosimilars growth strategy through the identification, evaluation, negotiation, and execution of business development opportunities. This individual will lead the assessment and execution of in-licensing, co-development, commercialization, acquisition and strategic partnership opportunities to expand and strengthen the biosimilars portfolio globally. How You’ll Spend Your Day Business Development Strategy & Opportunity Identification • Identify, evaluate, and prioritize biosimilar business development opportunities aligned with strategic growth objectives and portfolio needs. • Develop and maintain a strong understanding of the global biosimilar landscape, including competitive dynamics, pipeline developments, regulatory trends, and partnership activity. • Proactively source and cultivate opportunities for licensing, co-development, commercialization partnerships, acquisitions, and other strategic transactions. • Build and maintain a strong external network across the pharmaceutical and biotechnology industries. • Represent the company at industry conferences, partnering meetings, and external stakeholder engagements. Opportunity Assessment & Due Diligence • Lead strategic, commercial and financial assessments of prospective transactions. • Coordinate end-to-end due diligence activities across Commercial, R&D, Regulatory Affairs, Medical Affairs, Manufacturing, Supply Chain, Portfolio Management, Quality, Legal, IP, and Finance. • Assess development risks, manufacturing and quality considerations, competitive positioning, and commercial potential of biosimilar assets and partnerships. • Identify key risks and mitigation strategies to support informed decision-making. • Synthesize due diligence findings into recommendations for executive leadership. Transaction Execution & Negotiation • Lead the structuring, negotiation, and execution of licensing, co-development, supply, commercialization, and other strategic agreements. • Develop negotiation strategies that maximize strategic value while appropriately managing risk. • Serve as the primary business development lead during discussions with external partners. • Coordinate internal alignment across functional teams and executive leadership throughout negotiation and approval processes. • Drive transactions through governance, approval, signing, and implementation of clear milestones. Executive Communications & Leadership • Prepare and deliver executive-level presentations, partner assessments, transaction recommendations, and strategic updates. • Provide leadership with regular assessments of the biosimilars market and emerging partnership opportunities. • Influence decision-making through clear communication of opportunities, risks, and recommendations. • Act as a trusted advisor to Business Development leadership and key cross-functional stakeholders. Alliance & Relationship Management • Establish and maintain strong relationships with partners, licensors, developers, manufacturers, and strategic collaborators. • Support transition and governance activities following transaction execution. • Partner with internal teams to address strategic and operational challenges during collaborations. • Foster long-term relationships that support future partnering opportunities and portfolio growth. Your Skills and Experience • University degree in related domain; advanced degree preferred, including MBA, Master's degree in Finance, Economics, Business Administration, Life Sciences, PharmD, JD, or equivalent. • 6-8+ years of experience in pharmaceutical business development, licensing, portfolio management, corporate strategy, or related functions. • Significant experience within the biosimilars, biologics, or broader pharmaceutical industry. • Proven track record of leading and closing complex business development transactions, including licensing, partnerships, acquisitions, and strategic alliances. • Strong financial acumen, including forecasting, valuation, NPV analysis, and business case development. • Experience leading cross-functional due diligence projects and working with global stakeholders. • Strong negotiation experience and ability to manage complex commercial agreements. • Strong understanding of the global biosimilars market, biosimilars development, regulatory environment, and competitive landscape. • Outstanding communication, presentation, stakeholder management, and influencing skills, with experience presenting to senior leadership. • Ability to travel domestically and internationally as required (2-3 times per year) How We’ll Take Care of You At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community.  When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.  Already Working @Teva? Make sure to apply through our internal career site on Twist—your one-stop shop for career development Teva’s Equal Employment Opportunity Commitment Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

Job Description ServiceNow's Advanced Technology Group is a customer-focused innovation team building intelligent software and AI-powered work experiences. We combine AI workers, workflows, chat, knowledge, and integrations to make complex enterprise operations accessible to everyday users. Our researchers, applied scientists, engineers, designers, and product managers have a dual mission: build end-to-end products for customers while experimenting with and de-risking the technologies that will shape how people work. The role We are looking for an experienced, backend-leaning full-stack engineer who can take a problem and solve it across the product and system. You will build customer-facing capabilities spanning the browser, APIs, data models, realtime infrastructure, asynchronous jobs, and external integrations. You will have the autonomy to shape problems, make sound architectural decisions, and own work from idea through production. We value engineers who are self-directed, pragmatic, curious, and uncompromising about security and software quality. What you will do • Build AI-powered product capabilities across React, Node.js, PostgreSQL, and shared contracts. • Own features from product definition and system design through implementation, testing, deployment, and operation. • Design secure APIs, authorization rules, data models, and backward-compatible migrations. • Build reliable asynchronous and realtime workflows using queues, pub/sub, jobs, schedules, and WebSockets. • Develop enterprise integrations involving OAuth, webhooks, rate limits, external APIs, and vendor failures. • Protect tenant boundaries and validate untrusted input across HTTP, sockets, queues, and AI tool execution. • Build, deploy, and operate services running on AWS and Kubernetes. • Diagnose production behavior using logs, traces, metrics, databases, and message brokers. • Work closely with product, frontend, AI, and platform engineers while independently driving execution. • Help evolve our engineering practices as AI changes how software is designed and built. Qualifications What we are looking for • Strong TypeScript fundamentals and production experience with React and Node.js. • A track record of driving complex, customer-facing features end to end with visible product impact. • Strong SQL and relational data-modeling skills, including transactions, indexes, and migrations. • Experience with asynchronous or distributed systems: queues, pub/sub, WebSockets, retries, and idempotency. • Sound API, schema, and backward-compatibility judgment. • Strong security instincts for multi-tenant authorization, credentials, uploads, and external input. • Experience with automated unit, integration, API, and end-to-end testing. • Product judgment and comfort operating without heavy specification or process overhead. • High ownership: you stay accountable for reliability and customer outcomes after the code ships. AI Development Lifecycle Hands-on ADLC experience is mandatory. You must have shipped software using AI across discovery, design, implementation, testing, review, documentation, and production debugging—not only used a coding assistant occasionally. You know how to validate AI-generated work, define evaluations and regression criteria, manage context, and account for nondeterminism, hallucinations, latency, cost, privacy, and security. You retain human ownership of the architecture, code, and customer outcome. You can design reliable AI execution paths involving prompts, structured outputs, agents, tools, approvals, schemas, authorization, retries, observability, and failure recovery. Model output is treated as untrusted input, and consequential actions require explicit authorization. Our technology TypeScript, React, Node.js, Express, PostgreSQL, Sequelize, Redis, RabbitMQ, Socket.IO, Zod, Nx, Vite, Vitest, Playwright, Sentry, AWS, Kubernetes, Helm, Terraform, Cursor, and Linear. Experience with every technology is not required. Python, FastAPI, AI agent runtimes, MCP, enterprise integrations, and direct AWS infrastructure experience are valuable but not mandatory. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Job Description ServiceNow's Advanced Technology Group is a customer-focused innovation team building intelligent software and AI-powered work experiences. We combine AI workers, workflows, chat, knowledge, and integrations to make complex enterprise operations accessible to everyday users. Our researchers, applied scientists, engineers, designers, and product managers have a dual mission: build end-to-end products for customers while experimenting with and de-risking the technologies that will shape how people work. The role We are looking for an experienced frontend engineer who cares deeply about product quality. You will turn complex, nondeterministic AI behavior into fast, clear, and trustworthy user experiences across our web application and embedded enterprise surfaces. You will help shape what we build and take features from idea to production. We look for people who move fast, ask good questions, care about users, and take pride in their work. What you will do • Build AI-native experiences for chat, workflows, integrations, approvals, and knowledge. • Own customer-facing features from product definition through implementation, testing, release, and iteration. • Create scalable components and shared product capabilities across our main application and ServiceNow experience. • Design reliable realtime and asynchronous interfaces, including streaming, partial results, retries, interruptions, and failures. • Own frontend foundations such as shared packages, build tooling, dependency upgrades, and CI. • Keep the frontend healthy over time by improving architecture, performance, developer experience, and maintainability. • Improve accessibility, responsiveness, performance, observability, and product polish. • Work closely with product, design, backend, and AI engineers while independently driving execution. • Help evolve our engineering practices as AI changes how software is designed and built. Qualifications To be successful in this role you have: • Strong React and TypeScript fundamentals with experience building high-quality customer-facing products. • A track record of driving meaningful features end to end, not only incremental changes. • Strong product judgment: you care about clarity, speed, accessibility, and details, and speak up when an experience is not good enough. • Experience with asynchronous server state, typed APIs, complex forms, realtime events, and failure handling. • Ability to design maintainable boundaries between applications, shared features, UI primitives, and API clients. • Experience maintaining frontend infrastructure, package ecosystems, build pipelines, and large codebases. • Experience with automated testing and confidence in owning production outcomes. • Comfort working with autonomy in a fast-moving environment with limited process overhead. AI Development Lifecycle Hands-on ADLC experience is mandatory. You must have shipped software using AI across discovery, design, implementation, testing, review, documentation, and production debugging—not only used a coding assistant occasionally. You know how to validate AI-generated work, define evaluations and regression criteria, manage context, and account for nondeterminism, hallucinations, latency, cost, privacy, and security. You retain human ownership of the architecture, code, and customer outcome. For product development, you understand prompts, tool calls, structured outputs, approvals, and model failure modes well enough to design trustworthy AI user experiences. Our technology React, TypeScript, Vite, Nx, TanStack Query, React Hook Form, Socket.IO, TipTap, SCSS Modules, i18next, Vitest, Playwright, Sentry, JSON Schema, Cursor, and Linear. Our platform runs on AWS and Kubernetes. You do not need to be an infrastructure expert, but you should be comfortable working with cloud-based systems. Experience with every technology is not required. Experience with rich-text editors, design systems, Web Components, Shadow DOM, ServiceNow, or AI automation products is a plus. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Job Description ServiceNow's Advanced Technology Group is a customer-focused innovation team building intelligent software and AI-powered work experiences. We combine AI workers, workflows, chat, knowledge, and integrations to make complex enterprise operations accessible to everyday users. Our researchers, applied scientists, engineers, designers, and product managers have a dual mission: build end-to-end products for customers while experimenting with and de-risking the technologies that will shape how people work. The role We are looking for an experienced, backend-leaning full-stack engineer who can take a problem and solve it across the product and system. You will build customer-facing capabilities spanning the browser, APIs, data models, realtime infrastructure, asynchronous jobs, and external integrations. You will have the autonomy to shape problems, make sound architectural decisions, and own work from idea through production. We value engineers who are self-directed, pragmatic, curious, and uncompromising about security and software quality. What you will do • Build AI-powered product capabilities across React, Node.js, PostgreSQL, and shared contracts. • Own features from product definition and system design through implementation, testing, deployment, and operation. • Design secure APIs, authorization rules, data models, and backward-compatible migrations. • Build reliable asynchronous and realtime workflows using queues, pub/sub, jobs, schedules, and WebSockets. • Develop enterprise integrations involving OAuth, webhooks, rate limits, external APIs, and vendor failures. • Protect tenant boundaries and validate untrusted input across HTTP, sockets, queues, and AI tool execution. • Build, deploy, and operate services running on AWS and Kubernetes. • Diagnose production behavior using logs, traces, metrics, databases, and message brokers. • Work closely with product, frontend, AI, and platform engineers while independently driving execution. • Help evolve our engineering practices as AI changes how software is designed and built. Qualifications To be successful in this role you have: • Strong TypeScript fundamentals and production experience with React and Node.js. • A track record of driving complex, customer-facing features end to end with visible product impact. • Strong SQL and relational data-modeling skills, including transactions, indexes, and migrations. • Experience with asynchronous or distributed systems: queues, pub/sub, WebSockets, retries, and idempotency. • Sound API, schema, and backward-compatibility judgment. • Strong security instincts for multi-tenant authorization, credentials, uploads, and external input. • Experience with automated unit, integration, API, and end-to-end testing. • Product judgment and comfort operating without heavy specification or process overhead. • High ownership: you stay accountable for reliability and customer outcomes after the code ships. AI Development Lifecycle Hands-on ADLC experience is mandatory. You must have shipped software using AI across discovery, design, implementation, testing, review, documentation, and production debugging—not only used a coding assistant occasionally. You know how to validate AI-generated work, define evaluations and regression criteria, manage context, and account for nondeterminism, hallucinations, latency, cost, privacy, and security. You retain human ownership of the architecture, code, and customer outcome. You can design reliable AI execution paths involving prompts, structured outputs, agents, tools, approvals, schemas, authorization, retries, observability, and failure recovery. Model output is treated as untrusted input, and consequential actions require explicit authorization. Our technology TypeScript, React, Node.js, Express, PostgreSQL, Sequelize, Redis, RabbitMQ, Socket.IO, Zod, Nx, Vite, Vitest, Playwright, Sentry, AWS, Kubernetes, Helm, Terraform, Cursor, and Linear. Experience with every technology is not required. Python, FastAPI, AI agent runtimes, MCP, enterprise integrations, and direct AWS infrastructure experience are valuable but not mandatory. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Who Connecteam is Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide. We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other. Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job. Backed by $220M+ from Insights Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency. About The Role We are looking for a Mobile Infrastructure Team Lead to lead the architecture, development, and evolution of our mobile platform foundations. This role combines technical leadership and hands-on development, with a strong focus on scalability, performance, and developer experience. You will be responsible for setting the technical direction of our mobile infrastructure while leading a team of engineers and working closely with cross-functional stakeholders. Key Responsibilities • Own the mobile infrastructure domain end-to-end (architecture, tooling, reliability), and drive technical standards and best practices across React Native and native (iOS/Android) • Lead and mentor a team of mobile engineers, fostering high engineering standards, ownership, and a collaborative culture • Design and build scalable mobile infrastructure to support development and deployment • Lead implementations across key areas such as state management (MobX), geolocation, WebView, encryption, backend communication, and performance optimization • Own and evolve CI/CD pipelines, driving automation of build, testing, and deployment processes to ensure fast and stable releases • Partner with Product, Design, QA, and DevOps to align priorities and execution, and act as the main point of contact for mobile infrastructure across R&D Experience & Skills • 6+ years of mobile development experience (Swift and/or Kotlin) • 2+ years of team leadership experience • Hands-on experience with React Native • Strong background in mobile architecture and infrastructure • Experience with CI/CD and release management • Proven ability to lead technical projects and drive architectural decisions • Strong communication skills and ability to work cross-functionally Nice to Have • Experience with Fastlane & Jenkins • Familiarity with backend APIs (e.g., Python REST) • Experience with Agile and DevOps practices • • #LI-Hybrid Joining Connecteam Is The Smart Move: • We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties. • We make an impact on our customer’s business. We are on a mission to provide managers of all business types and sizes with the tools they need to communicate, operate, engage, and run their deskless workforce. Our product offers them an effective and affordable solution to run their business. • We get the job done. Connecteam employees are passionate in executing their job duties so they can drive the company forward and provide real value to our customers. • We have fun! From weekly happy hours to holiday parties, we always enjoy each other’s company (and good food, of course). Connecteam is like one big, happy family! • Everyone is welcome. Connecteam is committed to building an encouraging, caring, and supportive environment. We share a responsibility to support our team and enrich their lives. Together we will shape the future of work! Our privacy policy