Solutions Engineer jobs in Israel

We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact. We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in. We are a well-funded, early-stage startup building our Founding Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions. You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow. Your Impact Customer Onboarding & Process Analysis • Engage with customers post-close to understand workflows, operational processes, and deployment requirements. • Translate findings into clear implementation plans for AI-powered solutions. Data, AI Models & Workflow Development • Partner with customers to assess data readiness and gather inputs for AI workflows. • Configure and integrate AI components into tailored, AI-driven workflows. • Collaborate with R&D to close data gaps and extend product capabilities when needed. Deployment & Proof of Value • Own end-to-end solution deployment and ensure models meet performance and business value expectations. • Define success metrics and drive adoption post-launch. Integration, Security & Rollout • Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security. • Guide customers through security, compliance, and IT approval processes. • Plan and execute rollout to drive smooth implementation and adoption. What It Takes • 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role. • Experience in the enterprise segment, specifically within the Israeli market, preferably in traditional industries such as financial services, insurance, and banking. • Strong analytical skills with the ability to translate business needs into technical solutions. • Strong understanding of AI concepts and their enterprise applications. • High adoption of modern AI tools and workflows. • Experience supporting deployments across cloud environments and enterprise system integrations. • Excellent communication and stakeholder management skills. • Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle. • Excellent Hebrew proficiency (daily client communications are in Hebrew) Nice to Have • Experience with process mining, workflow mapping, or operational analytics • Familiarity with enterprise platforms • Financial services industry experience

Description Sygnia is the foremost global cyber readiness and response team, applying creative approaches and battle-tested solutions to help organizations beat attackers and stay secure. With a team of deep digital combat, leading- edge, purpose-built technology, and enterprise security specialists, it enables companies to proactively build cyber resilience and defeat attacks within their networks. Sygnia is a trusted advisor and service provider of technology and security teams, executives and boards of leading organizations worldwide. Sygnia supports clients at each stage of their security journey, bringing frontline experience and technological acumen to help them be unstoppable in the face of cyber threats. The company draws on top talent from the ranks of elite military technology units and from across the cyber industry and has some of the world’s top talents in cyber security. Described by Forbes as a “cyber security delta force”, it applies technological supremacy, digital combat experience, data analytics and a business-driven mindset to cyber security, enabling organizations to excel in the age of cyber. Cyber threats are constantly growing in volume, velocity and sophistication. When an organization is confronted with an advanced attack, it needs the strongest capabilities on its side. In many cases, an incident response engagement is in fact a battle within a network. The operational art, experience focus and speed of Sygnia response teams can mean the difference between a minor blow and a devastating impact on performance and reputation of organizations. We are looking for a hands-on AI Solutions Engineer who combines practical AI expertise with strong business applications, integration and automation capabilities. The ideal candidate will be able to identify organizational needs and translate them into scalable AI solutions, including AI agents, agentic workflows and deterministic integrations. They will drive the effective adoption of AI across the company by developing practical solutions that improve processes, productivity, decision-making and overall business impact. Main Responsibilities: • Partner with cross-functional teams to identify high-impact AI and automation opportunities. • Evaluate and select AI models, platforms, and tools (e.g., OpenAI, Claude, Azure AI, AWS Bedrock) based on use case, performance, cost, security, and scalability. • Design and implement AI solutions combining LLMs, AI agents, and deterministic integrations (e.g., Workato). • Build and optimize prompts, agentic workflows, and integrations while understanding model limitations and trade-offs. • Architect scalable integrations across enterprise systems such as NetSuite, HubSpot, Monday.com, and other internal platforms. • Lead AI initiatives end-to-end, from ideation and prototyping through production rollout and continuous improvement. • Evaluate emerging AI capabilities and new AI features within existing enterprise platforms. • Own and communicate the company's internal AI solutions, ensuring alignment with business needs, systems, and broader AI architecture. Requirements Main Requirements: • 3+ years of experience with business applications and integrations. • 1+ years of hands-on experience building or implementing AI solutions. • Strong practical experience with AI platforms such as OpenAI, Claude, Azure Open AI, and AWS Bedrock. • Hands-on experience with AI development, automation, and integration tools, including Workato or similar iPaaS platforms. • Strong understanding of prompt engineering, LLM capabilities and limitations. • Proven ability to take AI solutions from concept and prototype through production. • Understanding of security best practices, AI safety, responsible AI, and governance. • Strong problem-solving and solution-oriented mindset, with a focus on practical business outcomes. • Excellent communication and presentation skills, with the ability to work cross-functionally and translate between business and technical stakeholders.

Description Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%. Solution Architects in Coralogix are key in meeting our customers’ expectations and helping them utilize their observability and security data. We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience. Our architects are trusted advisors and consult our customers upon their monitoring, security & observability journey. Solution Architect is a senior-level role expected to professionally and accurately present technical presentations across different personas, from software engineers and DevOps all the way to the C-suite. What you’ll do: • Collaborate with account executives to strategize, prepare, and execute on complex, technical sales cycles. • Deliver compelling presentations and product demonstrations that highlight our unique value proposition and the solutions we provide. • Oversee the technical aspects of the sales process, including sizing, discovering and Proof of Concepts. • ⁠Develop custom solutions to bridge any gaps and enhance the core offerings of our product. • ⁠Possess a thorough understanding of the Observability market, advising customers on best practices and the most appropriate solutions for their needs. Requirements • ⁠Minimum 5 years of experience in a customer-facing role such as pre-sales, solutions engineering or technical architecture. • Exceptional communication and presentation skills. • Proven ability in technical integrations and conducting POCs. • ⁠In-depth knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, OpenTelemetry. • Background in Engineering/DevOps will be considered an advantage. • Previous experience in Technical Sales of Observability, Monitoring, APM, RUM, SIEM is desirable. • Proficiency in coding with high-level programming languages (Java, Go, Python) - advantage • ⁠ ⁠Candidates should have hands-on experience and the ability to integrate these technologies into customer environments, providing tailored solutions that meet diverse operational requirements. Cultural Fit We’re seeking candidates who are hungry, humble, and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you. Coralogix is an equal-opportunity employer and encourages applicants from all backgrounds to apply.

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Minimum Qualifications • 6 years of experience designing and implementing public cloud architectures, with deep expertise across major cloud providers. • Experience architecting, deploying, and troubleshooting complex Kubernetes and container environments across multiple distributions, including managed Kubernetes services, node groups, autoscaling, operators, pod scheduling, and cluster lifecycle management. • Experience working within the Cloud-Native Application Protection Platform (CNAPP) space. • Experience with developer workflows and tools, including Git, CI/CD, Helm (for Outpost Lite), CloudFormation, and Terraform. • Extensive knowledge of networking fundamentals, cloud networking concepts, and Identity and Access Management (IAM) models. • Full professional fluency (written and verbal) in both English and Hebrew. • Willingness to undergo security clearance. • Solid knowledge of Attack Surface Management (ASM) methodologies, network reconnaissance, cloud security, and vulnerability assessments Preferred Qualifications. • Background in security products or cloud security posture, specifically with experience in workload scanning or disk snapshot pipelines. • Experience supporting ISV or SaaS products deployed directly within customer cloud accounts. • Ability to communicate effectively with technical, business, and executive audiences, translating complex infrastructure issues into actionable customer guidance. About the job We’re looking for a Principal Solutions Engineer to join us and spread the power of Wiz. As a Principal Solutions Engineer you will be acting as the technical authority for the Wiz platform, specializing deeply in Wiz Outpost. Working across cloud infrastructure, Kubernetes, and customer success, you will drive business and technical value for prospects and customers. Responsibilities • Serve as the go to technical resource for sales and solutions engineering on Wiz Platform architecture questions, messaging, and presentations. • Own Outpost investigations end to end, diving into IAM misconfigurations, networking failures, provisioning breakdowns, and scan degradation across customer environments. • Root cause and triage issues across multiple cloud environments, including AWS, Azure, GCP, OCI, and Alibaba. • Partner with engineering to collaborate on escalations and reproduce issues. • Clearly distinguish between Wiz bugs, customer misconfigurations, and cloud-provider behavior, and translate these technical gaps for both customers and engineering. • Provide technical and business-relevant feedback into Product Management based on field engagements to continuously improve Wiz’s position and value messaging. • Enable the broader support and field teams by building and maintaining investigation runbooks, internal knowledge base content, and onboarding materials. Lead regular thought leadership sessions to share insights derived from customer engagements. • Collaborate with Wiz sales teams on strategic opportunities to demonstrate the platform's technical and business value. Assist SEs and prospects during the POV process with advanced use cases, installation, deployment, and troubleshooting. • Work closely with Wiz’s CTO, Field CTO, Customer Success, Product Management, and R&D organizations to maintain alignment and ensure coordinated efforts across the sales process. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

Description This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems. A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions. The Role We are seeking an experienced Solutions Engineer who combines strong technical depth, hands-on problem-solving capabilities, and excellent interpersonal skills. The Solutions Engineer will work closely with customers, partners, Sales, Engineering, Product Management, Support, and other internal teams to design, validate, and deliver scalable, flexible, and innovative solutions based on VAST technologies. This role combines deep technical expertise with customer engagement. The Solutions Engineer will help customers understand how VAST can address their technical and business challenges, design architectures that integrate into complex enterprise environments, develop and deliver technical demonstrations and Proofs of Concept (POCs), and troubleshoot sophisticated infrastructure and application challenges. The ideal candidate is hands-on, curious, customer-focused, and comfortable working across storage, networking, virtualization, operating systems, cloud platforms, Kubernetes, and enterprise applications Responsibilities • Understand customer technical requirements, business challenges, workloads, and existing infrastructure. • Design scalable, high-performance solutions based on customer needs and VAST technologies. • Build and present technical demos, Proofs of Concept (POCs), reference architectures, and prototypes. • Translate requirements into detailed technical designs, implementation plans, and specifications. • Deploy, configure, test, and validate VAST storage in customer, cloud, and lab environments. • Deploy and troubleshoot VAST solutions across Kubernetes, OpenShift, public/hybrid cloud, and virtualized environments. • Execute performance benchmarking, analyze workload bottlenecks, and optimize storage performance. • Analyze existing customer architectures to recommend improvements, optimizations, and integration strategies. • Troubleshoot complex infrastructure, application, networking, storage, cloud, and Kubernetes issues. • Act as a technical escalation point and collaborate with Engineering and Support to resolve issues. • Develop tools, automation, and best practices to prevent recurring technical challenges. • Create high-quality documentation, implementation guides, reference architectures, and troubleshooting procedures. • Partner with Sales and Business Development during technical evaluations and strategic opportunities. • Share customer requirements, field feedback, and product enhancement requests with Product Management and Engineering. • Research emerging technologies and evaluate integration with VAST solutions. • Develop reusable assets, automation scripts, demos, and reference environments for internal and external use. • Continuously refine methodologies for customer evaluations, performance testing, and technical enablement. Requirements Requirements • Proven experience in Solutions Engineering, Systems Engineering, Technical Consulting, or a customer-facing technical role. • Strong understanding of enterprise infrastructure and modern data center architectures. • Hands-on experience with enterprise storage technologies. • Strong knowledge of file and object protocols, including NFS, SMB, and S3. • Hands-on experience with public clouds (AWS, Azure, GCP), including networking, compute, storage, and hybrid architectures. • Hands-on experience with Kubernetes, Red Hat OpenShift, CSI, container networking, and app deployment. • Solid understanding of storage performance (throughput, IOPS, latency, concurrency, bottleneck analysis). • Practical experience benchmarking, analyzing, and troubleshooting storage performance using standard tools. • Proficiency with Linux and Windows operating systems. • Experience with virtualization platforms like VMware vSphere and Microsoft Hyper-V. • Working knowledge of Active Directory, authentication, and enterprise identity management. • Experience with backup, disaster recovery, and data protection architectures. • Strong troubleshooting skills across compute, storage, networking, virtualization, Kubernetes, and cloud layers. • Ability to quickly learn new technologies and adapt to complex customer environments. • Ability to manage multiple projects and customer engagements simultaneously. • Ability to clearly explain complex technical concepts to technical and non-technical audiences. • Strong technical documentation and communication skills. • Excellent interpersonal and cross-functional collaboration skills. • Sound technical judgment with analytical decision-making ability. Advantageous Experience Experience in one or more of the following areas would be considered an advantage: • AI/ML infrastructure and GPU environments • High-performance computing (HPC) • Hybrid-cloud and multi-cloud architectures • High-performance networking • RDMA and NVMe over Fabrics • Kubernetes storage architectures and CSI • Automation and scripting using Python, Bash, PowerShell, or similar technologies • Infrastructure-as-Code and automation frameworks such as Terraform and Ansible • Databases, analytics platforms, and data-intensive applications • Large-scale enterprise storage environments • Performance engineering, workload characterization, and benchmarking Personal Attributes • Strong customer orientation and a passion for solving complex technical problems. • Hands-on mindset with a willingness to investigate technical challenges deeply. • Ability to manage multiple priorities in a fast-paced environment. • Creative thinker who is comfortable challenging assumptions and thinking outside the box. • Highly curious and eager to learn new technologies. • Strong sense of ownership and accountability. • Excellent collaboration and teamwork skills. • Comfortable working independently while collaborating closely with local and global teams. • Flexible and adaptable in rapidly changing environments. • Strong commitment to customer success and the overall success of VAST Data.

Mobileye is transforming the way the world drives — from advanced driver assistance systems (ADAS) to fully autonomous vehicles. We are looking for a Senior Customer Solutions Engineer to join us at the forefront of this revolution and work hands‑on with some of the world’s leading automotive manufacturers. This role is ideal for a highly technical engineer who enjoys customer interaction, system‑level problem solving, and real-world impact, and who wants to own the technical interface between Mobileye’s cutting‑edge technology and our customers. What will your job look like: • Act as a technical authority and subject‑matter expert for Mobileye Driving Functions, ADAS, and AV solutions in front of customers. • Own the end‑to‑end technical engagement with customers, including system understanding, issue analysis, solution definition, and follow‑up. • Work closely with algorithmic engineering, product, R&D, and program teams to drive customer issue investigation and resolution. • Gather, analyze, and translate customer feedback and real‑world insights into clear technical requirements and product inputs. • Lead and support software version integration, validation, and delivery to customers, ensuring alignment between Mobileye core capabilities and customer use cases. • Take an active role in cross‑functional collaboration with Product, Sales, Marketing, and Engineering teams. • Proactively contribute to process improvement and technical workflow optimization across teams. • Work directly with leading OEMs through technical workshops, test drives, system tuning sessions, and on‑site support. • Build and maintain long‑term, trusted technical relationships with customers. All you need is: • B.Sc. in Computer Science or a related engineering field. • 3+ years of experience in a customer‑facing technical role (e.g., customer engineering, systems engineering, field engineering, solutions engineering). • Strong ability and motivation to deep dive into complex algorithms, systems, and software behavior. • Excellent problem‑solving, analytical, and organizational skills, with a strong sense of ownership. • Proven ability to operate independently, take initiative, and collaborate across multiple teams. • Excellent communication and stakeholder‑management skills. • Fluent English and Hebrew. Nice to have: • Passion for cars, AI, and the intersection between the two. • Experience in software development or a strong understanding of the software development life cycle. • Experience working with or managing products, programs, or complex technical systems. • Background in ADAS, autonomous driving, computer vision, or large‑scale embedded systems. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Are you passionate about AI Security and interested in joining a team focused on driving improvement and solving tough challenges? NVIDIA's Networking Cybersecurity Lab located in Yokneam is looking for the next team member - a versatile Cybersecurity AI solutions Engineer. As part of the heart of NVIDIA's commitment to networking product security is Cyberlab. The NVIDIA Networking Cyberlab's primary goal is to ensure NVIDIA network products are secure, architecting and delivering comprehensive security solutions with AI Security partners and fostering homegrown AI security development capabilities. We are seeking a Cybersecurity AI solutions Engineer to be part of the backbone of networking security innovation. In this role as part of your time, you will architecture design, deploy, and execute tests for 3rd-party cybersecurity AI solutions within a virtualized digital twin environment using NVIDIA Data Center Simulators (DSX AIR). Work with data scientist for fine-tuning state-of-the-art AI models - such as NVIDIA Nemotron, and automating complex pipelines. The ideal candidate bridges the gap between virtualization, modern cybersecurity architecture, hands-on AI engineering, and robust DevOps practices. This is an opportunity to work at the intersection of AI development, advanced cybersecurity, collaborating with offensive security researchers to increase the adoption the of products that power the AI revolution. Our new team member is an effective communicator, comfortable collaborate with cyber security architect team, engineers, technical staff, and enjoys working with a diverse, global workforce. What you'll be doing: • ​Cybersecurity AI solutions engineering in digital twin env: architect, design deploy, and evaluate AI Security partners software within virtual environment frameworks. analyse, and test security products under simulated real-world datacentre workloads. • AI Model Setup & support Fine-Tuning tasks: AI Infrastructure sizing & setup configure and maintain infrastructure optimized for large language models and security analytics tools. deploy, optimize, and fine-tune NVIDIA Nemotron models for specialized cybersecurity tasks (e.g., threat detection, log analysis, automated response generation). • Dataset Management: curate, preprocess, and manage support training -evaluation datasets sourced from simulated data & telemetry • Infrastructure & DevOps Automation : CI/CD & pipeline management , build automated testing pipelines to streamline product deployment, validation runs, and benchmarking reports. What we need to see: • B.Sc. in Computer Science / Electrical Engineering or equivalent experience • At least 5 years of proven experience including hands-on experience deploying and fine-tuning Open/LLM models • ​Familiarity with AI/ML frameworks (PyTorch, NeMo, Hugging Face) and GPU acceleration libraries (CUDA, TensorRT) • Experience serving open models with vLLM, Hugging Face Transformers, TGI, llama similar frameworks. Inference libraries like DeepSpeed • Experience in a DevOps role -CI/CD Tools: GitLab CI, GitHub , Gerrit or Jenkins • Experience in programming and scripting using Python, Bash in Unix/Linux environment • Good knowledge of virtualization VMware, KVM/QEMU, Hyper-V (or cloud-based hypervisors) Docker, Kubernetes, Helm • Experience in physical and virtual networking (VLANs, subnets, firewalls) & datacentre networking • Debugging skills at the OS, kernel, and service levels • Excellent documentation, planning, and communication skills, with the ability to collaborate effectively with internal teams NVIDIA is widely considered one of the technology industry's most desirable employers, with highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working with us. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

NVIDIA is a world leader in computer graphics, artificial intelligence, and accelerated computing. For over 30 years, NVIDIA has been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the world's hardest problems. NVIDIA’s Networking System Product Engineering organization is looking for a Senior Data & AI Solutions Engineer - high-agency, self-directed Data & AI Solutions Engineer to partner with engineering teams and transform data, BI, automation and agentic AI into measurable engineering productivity gains. What you’ll be doing • Work closely with engineers, managers, and cross-functional teams to understand complex engineering domains, identify bottlenecks, and build practical solutions that improve decision-making, execution speed, and operational quality. • Develop and deliver production-grade tools, automated workflows, and agentic AI solutions from concept through deployment. • Run fast, high-quality proof-of-concepts on emerging AI and agentic technologies, and productize successful ones. • Implement data flywheels that continuously improve quality through telemetry, benchmarking, automated evaluation, and structured feedback loops. • Collaborate and contribute ideas and code to Product Engineering's evolving data infrastructure. • Improve data quality, integrity, governance, metric definitions, and usability across engineering domains. • Train and enable engineers, managers, and stakeholders to use data, BI, and AI tools effectively What we need to see • B.Sc or M.Sc in Computer Science, or related field, or equivalent experience. • 12+ years of proven experience building and deploying production software, data products, internal tools, or engineering productivity platforms and 2+ years of experience building AI-enabled or agentic systems, including tools & skills, RAG pipelines, persistent memory, and evaluation infrastructure. • Hands-on development experience with Python, full-stack software development, SQL and NoSQL databases, cloud environments, and internal tool development. • Extensive experience utilizing coding agents for development. • A proactive, high-agency builder who deciphers complex domains to deliver pragmatic, production-grade AI and data solutions that drive measurable engineering productivity.An adaptable expert who masters the intersection of software engineering and agentic AI, taking full ownership of the lifecycle from messy data debugging to cross-functional leadership. • Excellent collaboration skills, with the ability to influence cross-functional partners, build positive relationships, and communicate complex concepts clearly to both technical and business audiences. • Demonstrated commitment to continuous learning and development. Ways to stand out from the crowd • Background in product engineering, hardware engineering, networking, semiconductors, or complex engineering organizations • Evidence of meaningful open-source contributions, including core commits, maintainership, widely adopted libraries, or public technical artifacts demonstrating system-level depth NVIDIA is widely considered to be one of the technological world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, 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.

NVIDIA is seeking a talented and highly motivated Software Engineer to join our Chip Design Technologies team, which delivers best-in-industry Design, Formal Verification (FV), and Design Verification (DV) solutions and methodologies. This position focuses on developing AI, Machine Learning (ML), and Large Language Models (LLMs) based solutions to enhance design and verification methods. Whether you have several years of experience in AI or are a seasoned expert, this role offers the chance to make a significant impact in a rapidly evolving field. What you'll be doing: • Define and develop cutting-edge AI and LLM-based solutions, tailored to enhance and innovate design and verification processes. • Deeply understand existing design and verification workflows, identify opportunities for improvement, and implement customized solutions that drive efficiency and effectiveness. • Collaborate closely with designers and verification specialists, ensuring seamless integration of AI/ML solutions across multiple projects. What we need to see: • Bachelor's or Master’s Degree in Computer Science or Computer Engineering • 5+ overall years of hands-on experience in software development, with a strong foundation in AI/ML technologies. • At least 2 years of proven experience in developing AI and LLM-based solutions (more years is an advantage). • Excellent communication skills to work effectively with engineers from multiple teams, facilitating improvements based on a positive feedback loop • Strong Python programming skills • A proactive attitude and a passion for continuous improvement in design processes. • Strong analytical, debugging and problem-solving skills Ways to stand out from the crowd: • Experience in Linux environments. • Experience with data collection and analysis • Understanding of the chip design/verification process NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're creative and hands-on 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.

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 on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: • Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to Networking/switching products. • Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products. • Take ownership and drive customer issues with Ethernet or InfiniBand switch network deployments from inception to resolution. • Bring independent analysis, communication, and problem-solving to customer experience. • Collaborate with engineering to document, recreate and solve issues. What we need to see: • BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). • 5+ years system software development and troubleshooting experience, ideally with some customer facing. • Experience developing with Python, C and C++ in kernel and/or application space and/or embedded software. • Very good familiarity with Linux (tools, utilities, kernel functionality). Hands-on experience with containers and virtualization technologies. • Proven ability to deeply analyze IPv4, IPv6, Layer 2 switching, TCP/IP and routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF). • Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented. Ways to stand out from the crowd: • Experience in solving problems in large-scale network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN). • Configuration and operational expertise with network switch/router platforms (i.e. IOS, JunOS, EOS). • Experience with SRv6 technology, HPC, low-latency systems and performance tuning. • Contributions to networking related open-source projects such as Free Range Routing (FRR) and/or Bird. • Experience with AI coding tools, AI agents, etc.

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 on the planet working for us. If you're creative, passionate, and self-motivated, we want to hear from you! We are looking for an experienced customer-facing software and systems engineer with a strong background in enterprise infrastructure, cloud technologies, virtualization, and Kubernetes. The ideal candidate combines hands-on software engineering and troubleshooting with the ability to understand customer requirements, lead technical discussions, and work across engineering teams to deliver practical solutions. You will join a team of Solution Engineers focused on NVIDIA Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise-related system software. The focus of this role is user-space networking software, containerized services, and management and diagnostic tools, including those used with SONiC and NVIDIA NVOS. SW Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% doing R&D-related work. In this role, you will apply your experience across software, operating systems, networking, and cloud infrastructure to resolve customer issues and develop capabilities that make future investigations faster and more effective. What you'll be doing: • Take ownership of enterprise customer issues involving user-space networking software, containerized services, and infrastructure integration across on-premises, cloud, virtualized, and Kubernetes environments, driving investigations from initial engagement through resolution. • Work directly with customers to understand their architecture, workloads, and operational requirements. Lead technical discussions, structure troubleshooting activities, and communicate findings, recommendations, and next steps clearly. • Collaborate with software, platform, and networking engineering teams to solve user-space issues, analyze service dependencies, configuration, and logs, and validate fixes across relevant software versions and deployment environments. • Develop software tools and automation that improve the deployment, availability, reliability, and supportability of NVIDIA Enterprise solutions. • Own the development and ongoing operation of NVEX Networking tools, dashboards and automation pipelines. Prioritize improvements, maintain code and test coverage, manage releases and documentation, and automate diagnostic collection, environment preparation, issue reproduction, validation, and reporting to accelerate customer issue resolution. • Share troubleshooting knowledge, guide engineers through technical reviews, and help customers and internal teams adopt reliable deployment and operational practices. What we need to see: • BSc in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience. • 8+ years of experience across software engineering, systems engineering, or technical solution delivery, including hands-on development and troubleshooting of complex enterprise environments. • Extensive experience working directly with enterprise customers, translating requirements into technical solutions, leading technical discussions, and communicating effectively with engineering and business stakeholders. • Strong analytical and problem-solving skills, intellectual curiosity, self-motivation, and the ability to collaborate across technical disciplines and take issues through to resolution. • A strong software engineering background, including development of tools and automation, source control, code reviews, automated testing, pipeline implementation, and flow/agent automation. Hands-on scripting experience. • Practical experience with cloud and virtualized infrastructure, including compute, virtual networking, hybrid connectivity, deployment, and operations on platforms such as AWS or Azure. • Hands-on experience with Kubernetes and containerized workloads, including deployment, configuration, monitoring, and troubleshooting of the supporting infrastructure. • Experience working with Linux and Windows environments and troubleshooting application and service behavior, configuration, logs, resource usage, and network connectivity. Ways to stand out from the crowd: • Experience deploying, operating, and troubleshooting containerized applications with Docker, Kubernetes/EKS, or ECS, including service lifecycle, configuration, and dependencies. • A record of developing reusable software tools, scripting, infrastructure as code, and engineering pipelines adopted across teams. • Experience automating large-scale server or network environments, including provisioning, software and tool deployment, Linux/Windows compatibility matrices, software-version testing, and test-result aggregation. • Experience implementing centralized logging, monitoring, and reporting with tools to support troubleshooting and operational visibility. • Experience in production deployments, or complex troubleshooting engagements, together with technical workshops, mentoring, and cross-team collaboration.

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 on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: • Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to Networking/switching products. • Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products. • Take ownership and drive customer issues with Ethernet switch network deployments from inception to resolution. • Bring independent analysis, communication, and problem-solving to customer experience. • Collaborate with engineering to document, recreate and solve issues. What we need to see: • BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). • 8+ years of system software development and troubleshooting experience, ideally with some customer facing. • Experience developing with Python, C/C++ in Linux application space and/or embedded software. • Expertise in Linux networking stack, tools, utilities and services. • Proven ability to deeply analyze IPv4, IPv6, Layer 2 switching, TCP/IP and routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF). • Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented. Ways to stand out from the crowd: • Experience in solving problems in large-scale network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN). • Configuration and operational expertise with network switch/router platforms (i.e. IOS, JunOS, EOS). • Experience with SRv6 technology, HPC, low-latency systems and performance tuning. • Contributions to networking related open-source projects such as Free Range Routing (FRR) and/or Bird. • Experience with AI coding tools, AI agents, etc.

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 AI is moving faster than any single product team can track. Nebius is expanding across serverless, databases, MLflow, MLOps, Physical AI, and HCLS — and customers arriving with complex, real-world ML workloads need more than documentation. This role exists to close that gap: someone who can prototype what's possible, accelerate customers through their first 90 days, and feed hard-won field insight back into the product roadmap. This role sits at the intersection of deep ML engineering and product impact. You'll spend roughly half your time in the field — helping new customers move from POC to production, running technical onboarding, and working hands-on through their ML stack. The other half you'll spend building — prototyping applied AI use cases that show what's possible on the platform, going deep on emerging techniques before they're mainstream, and turning that expertise into concrete product direction. This is not a presales role. You get your hands dirty every day. What success looks like in 12 months • The product and sales teams have a library of working, polished demos they reach for on calls • Enterprise customers you've touched have meaningfully faster time-to-value than those you haven't • At least 2–3 product changes were shipped because of feedback you originated • The team understands where applied AI is heading 6–12 months from now, partly because you told them Your responsibilities will include: • Build prototypes and demos across the product portfolio — serverless inference, databases, MLflow, MLOps, and vertical use cases in Physical AI and HCLS — that become assets for sales, product, and engineering teams • Support new customers hands-on through POC design, technical onboarding, and validation; act as the bridge between their ML team and the platform during the critical first months • Go deep on emerging applied AI — new training techniques, inference optimizations, agentic architectures, new frameworks — and turn findings into working prototypes, writeups, and product recommendations • Feed the product roadmap with specific, grounded feedback; be the voice of "here's what broke in three customer POCs last month and here's what needs to change" • Develop reusable technical assets — notebooks, reference architectures, benchmark results — that reduce onboarding friction at scale We expect you to have: • You've fine-tuned large models, debugged distributed training jobs, built production RAG or agentic pipelines, and optimized inference on GPU infrastructure — not just read about it • You're fluent in the modern ML stack: PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, vector databases • You've worked with enterprise ML teams — whether as a solutions engineer, customer engineer, or an ML engineer who collaborated closely with customers • You read papers and implement them — not for credit, but because it's how you stay sharp • You communicate with calibration: you can explain activation checkpointing tradeoffs to an ML engineer in the morning and the cost implication to a CTO in the afternoon It will be an added bonus if you have: • Experience in any of our vertical domains: Physical AI / robotics / simulation, HCLS (drug discovery, medical imaging, clinical NLP), or enterprise AI application development • Familiarity with MLOps at scale (Kubeflow, Metaflow, Argo, Ray) • Prior work at a cloud provider or AI infrastructure company • You've shared technical work publicly — notebooks, talks, blog posts that people actually use Who thrives here You'll thrive here if you're energized by variety — one day deep in a customer's MLOps stack, the next building a demo from scratch. You want your technical depth to influence product decisions, not just close deals. What we offer • Competitive salary and comprehensive benefits package. • Opportunities for professional growth within Nebius. • Flexible working arrangements. • A dynamic and collaborative work environment that values initiative and innovation. We're growing and expanding our products every day. If you're up to the challenge and are excited about AI and ML as much as we are, join us! Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $200—$350,000 USD 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.

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? Join JFrog's CIO Architect team and shape the future of AI! We're seeking a hands-on AI Solutions Builder to lead the development and implementation of enterprise-wide AI applications. In this pivotal role, you'll evaluate and deliver cutting-edge AI solutions to JFrog employees and teams across the organization. You'll spearhead AI solution projects from initial concept and gathering requirements through execution and widespread adoption, serving as the central point of contact between business, IT, and data teams. You'll also be at the forefront of the latest AI technologies. As an AI Solutions Builder at JFrog you will… • Partner directly with cross-functional and non-R&D teams to understand workflows, pain points, decision-making processes, manual tasks, and operational bottlenecks - diagnosing where GenAI and AI Agents can provide real, measurable value. • Translate ambiguous business problems into clear AI use cases, MVP definitions, solution designs, success metrics, and rollout plans. • Lead the lifecycle of GenAI-driven applications and Agents, transitioning rapidly from initial concept and technical feasibility to full enterprise-grade production rollouts. • Build and configure AI-powered solutions, including agentic workflows, workflow automations, RAG-based tools, decision-support tools, and integrations with internal systems. • Conduct technical audits of emerging AI technologies, leading "Build vs. Buy" analyses to ensure global scalability, security, and measurable value to the organization. • Run training and enablement sessions for both technical and non-technical teams, fostering a culture of AI literacy and ensuring the organization can leverage new tools effectively. • Build and evolve the Enterprise AI technology stack, continuously scouting and integrating next-generation platforms, LLM orchestration tools, and agentic frameworks. • Serve as the primary technical liaison between IS, IT, Legal, and Data teams to ensure AI solutions are securely integrated and compliant with enterprise standards. • Be a product owner of enterprise AI platforms, driving continuous solution adoption, impact measurement, and performance optimization across the organization. To be an AI Solutions Builder at JFrog you need... • 5+ years in a technical role such as software engineering, solutions engineering, automation engineering, AI engineering, business application implementation, or a similar hands-on role, including 1+ years delivering AI, GenAI, agentic, or automation solutions for business or operational users. • A clear builder track record: you have shipped tools, automations, workflows, internal products, or prototypes that people actually used. • Deep, hands-on understanding of the LLM lifecycle, including Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning strategies, AI agents, tool use, human-in-the-loop workflows, evaluations, and responsible AI patterns. • Proven experience in implementing Enterprise GenAI platforms (e.g., Gemini Enterprise, Claude Chat). • Hands-on experience developing agentic workflows on top of agentic framework tools like Google ADK, AgentCore, and low-code platforms (Workato) • Proven experience developing GTM-related projects, mainly around sales and marketing. • Proven knowledge of GTM best practices and technology. • Proven project management skills and a demonstrated product management mindset, including the ability to define MVPs, prioritize, separate nice-to-have ideas from high-value use cases, and measure outcomes. • Strong discovery skills with non-technical stakeholders: you can map how work happens today and redesign it around AI, automation, and human accountability. • Excellent communication skills: able to explain technical tradeoffs to business stakeholders and business context to technical teams, and to run training and enablement sessions. • Strong ownership and execution, with creative, out-of-the-box thinking: comfortable moving from ambiguous problems to working solutions, with a focus on business impact and the ability to run and react fast. • Full-stack Web development experience, along with proven mastery of coding agent tools and vibe coding best practices — an advantage.

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.

About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role: As an AI Solution Engineer, you will play a critical role in ensuring our AI solutions optimal performance, reliability, and continuous improvement. You will be responsible for monitoring the performance of AI models, detecting data drift, deploying AI modules, designing customized solutions, investigating issues, and developing tools to support data analysis. This role requires expertise in data science, system engineering, analytics, statistical analysis, product and clinical understanding, and proficiency in Python and SQL. The ideal candidate holds a relevant degree, with a master's degree being an advantage, and possesses hands-on experience managing AI solutions in an operational production environment. Responsibilities: Deploying AI modules to production: • Responsible for the deployment strategy of our AI Beta-Stage Products, design scalable deployment methodologies for new AI products being escalation Tier for complex module implementations. • Collaborate with different stakeholders across the organization to make sure production requirements are addressed when new modules and products are developed. Maintain our AI solutions at top performance: • Monitor the performance of AI solutions, ensuring they deliver accurate and reliable results using existing monitors. • Implement mechanisms to monitor and detect data drift to ensure AI models remain effective over time. • Design new monitoring solutions and metrics to address production issues, data drift, and performance degradation. • Being a high-tier escalation point - investigate issues raised by our customers and identify root causes, recommend corrective actions, and implement solutions to prevent recurrence. Tool Development: • Develop tools and scripts to support data analysts and ensure efficient data processing and analysis. • Visualize data in informative and “to the point” visualizations. • Automate tasks related to AI deployment, data validation, and reporting. Requirements: • Bachelor's degree in a relevant field (Computer Science, Data Science, Engineering). A Master's degree is an advantage. • At least 4 years of proven experience in data science, and data analytics in a professional setting. • Familiarity with statistical analysis, machine learning concepts, and AI model evaluation. • Strong proficiency in Python and SQL for data analysis, scripting, and automation. Working at Aidoc - Our Perks: • Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) • We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. • Amazing and healthy breakfasts and lunches prepared daily by our personal chef! • Stocked up kitchen & meal card • Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. • Amazing culture - collaborative, transparent & fun! • Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Description About Solid: Enterprises are racing to adopt AI, but AI only works if it understands complex enterprise data. Solid automatically builds and maintains a semantic layer over structured data, enabling AI systems to generate queries, support workflows, and operate with accuracy, transparency, and trust. Founded by repeat entrepreneurs, Solid is backed by leading VC funds including SignalFire and Team8. Role Overview: As an Applied AI Solutions Engineer, you will bridge deep backend data integration with technical execution for enterprise clients. Reporting to the VP of Applied AI & Solution Engineering, you will drive the core integration layer—building production-grade Python workflows, complex ETL pipelines, and multi-system connectors while serving as a communicative technical partner to ensure enterprise customers successfully deploy Solid. Key Responsibilities: • Data Integration & Backend Development: Write production-grade Python scripts, custom connectors, and robust data pipelines to integrate Solid across complex, multi-system enterprise environments. • Semantic Modeling & Validation: Build, benchmark, and certify semantic models matching customer data structures, schemas, and business logic across diverse databases and cloud data warehouses. • AI & Workflow Integration: Connect Solid into customer AI agent ecosystems (MCP, Text2SQL, CrewAI, LangChain, Slack, internal GPTs). • Technical Engagement & Delivery: Partner with customer technical and data teams during kickoff and deployment, serving as a solution-oriented focal point to guide technical architecture and ensure successful implementation. • Field-to-Product Feedback Loop: Translate customer edge-cases, technical friction, and integration requirements into actionable specs and Jira tickets for R&D. Requirements Qualifications & Requirements: • Core Software & Python Development: 5+ years of hands-on software development experience in Python, with a strong focus on clean, scalable code and backend integration. • Data Engineering & Complex Architecture: Proven background integrating with multiple disparate systems, writing complex SQL queries and working deeply with relational databases and Cloud Data Warehouses (Snowflake, Databricks, BigQuery, PostgreSQL). • Communication & Service Orientation: Exceptional interpersonal skills, strong service orientation, and fluent verbal and written English with the ability to communicate technical concepts clearly. • Startup Mindset: Resourceful, highly organized, and comfortable operating in a fast-moving, high-growth environment. Advantages (Nice-to-Have): • Direct client-facing technical experience (e.g., Forward Deployed Engineer, Solutions Engineer, Data Architect, or Technical Consultant). • Experience as a Senior Data Engineer or Backend Engineer looking to move into Applied AI and customer-facing solution architecture. • Practical familiarity with AI application patterns (Text2SQL, AI agents, MCP, LangChain/LangGraph) or model benchmarking. • Experience in modeling data into BI systems (like Power BI, Tableau, Looker etc.)

Description We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact. We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in. We are a well-funded, early-stage startup building our Founding Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions. You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow. Your Impact Customer Onboarding & Process Analysis • Engage with customers post-close to understand workflows, operational processes, and deployment requirements. • Translate findings into clear implementation plans for AI-powered solutions. Data, AI Models & Workflow Development • Partner with customers to assess data readiness and gather inputs for AI workflows. • Configure and integrate AI components into tailored, AI-driven workflows. • Collaborate with R&D to close data gaps and extend product capabilities when needed. Deployment & Proof of Value • Own end-to-end solution deployment and ensure models meet performance and business value expectations. • Define success metrics and drive adoption post-launch. Integration, Security & Rollout • Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security. • Guide customers through security, compliance, and IT approval processes. • Plan and execute rollout to drive smooth implementation and adoption Requirements What It Takes • 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role. • Experience in the enterprise segment, specifically within the Israeli market, preferably in traditional industries such as financial services, insurance, and banking. • Strong analytical skills with the ability to translate business needs into technical solutions. • Strong understanding of AI concepts and their enterprise applications. • High adoption of modern AI tools and workflows. • Experience supporting deployments across cloud environments and enterprise system integrations. • Excellent communication and stakeholder management skills. • Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle. • Excellent Hebrew proficiency (daily client communications are in Hebrew) Nice to Have • Experience with process mining, workflow mapping, or operational analytics • Familiarity with enterprise platforms • Financial services industry experience

Description We're a stealth-mode cybersecurity startup with experienced founders and strong backing. We're building offensive security technology for large organizations, we’re a post product-market-fit looking to scale up operations About the role You'll be our technical authority in the field and the customer's technical point of contact through pre-sales - winning the deal from a technical standpoint: from the first deep session, through scoping and the evaluation, to the handoff once they go live. You'll work closely with sales on deal support, with our field technical lead on scoping and delivery, with research on output quality, and with product on what we build next. What you will own • Evidence and narrative. What we lead with, how the technical story gets told, and whether it survives a customer red team reading it line by line. • Technical scoping. Scope, environment topology, access model, exclusions, technical success criteria. You also name what will go wrong before the evaluation starts:. Each one gets designed around, descoped, or written down with the champion as a known risk. • Evaluation execution. Access setup, kickoff prep, monitoring, checkpoints, readout content. Scope changes and platform issues get escalated, not absorbed. • Tier 1 support during a live evaluation. Customer’s first point of contact during a PoV You resolve what's resolvable, route the rest with enough detail to act on. • Enterprise security review. Technical answers to questionnaires, architecture reviews, privacy and data-handling questions, deployment-model requirements. You build the reusable answer library that makes the second enterprise cost a fraction of the first. • Technical demos and methodology sessions. How the technology works, what controls sit around it, and how it compares to the alternatives a buyer is weighing. You answer the question that decides most deals: how do you know this result is real. • Demo environment and reusable assets. Demo environment, seeded scenarios, playbooks, demo scripts, a recorded demo library, persona talk tracks - You will design and build the technical assets that power the GTM team. • Handoff and product feedback. You will collaborate with GTM and Product to ensure customer expectations are met, providing feedback and insights that will help shape the product roadmap Requirements What we're looking for • Offensive security background: pentester, red teamer, or security researcher, or applicable solutions in the field. Understanding of how an attacker thinks and how to convey it to both executives and technical teams • Hands-on experience leading enterprise evaluations or technical POVs. • You present well and can win a methodology argument with a customer's security staff without losing the room. • You write clearly. Technical narratives and questionnaire answers are both writing jobs. • Comfort with a fast-moving product matters more than familiarity with any particular tooling. • You are a problem solver - independant, can solve issues and write code

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary The Role: The Solutions Consultant Defense is the evolution of the traditional Sales Engineering role. This role aligns with how we best serve our customers in understanding their environment, providing solution guidance, and ensuring value realization in their investment with Palo Alto Networks. As a Solutions Consultant Defense, you drive technical leadership and guide customers through their security transformation journeys. You play a key role in defining technical solutions that secure a customer’s key business imperatives. Crucially, you take end-to-end technical ownership of your accounts, ensuring solution fit, deployment quality, adoption, and ongoing technical health throughout the customer lifecycle. You evangelize our industry leadership in on-prem, cloud, and security operations services, establishing Palo Alto Networks as your customer’s cybersecurity partner of choice. Your Impact Curiosity is core to the Solutions Consultant role, and you see complex problems as opportunities to learn and deliver innovative solutions! Your impact is defined by taking continuous ownership across the customer journey and execution of the following: • Meeting and exceeding sales quotas by building and implementing strategic, technical account plans that target cross-platform solutions. • Conducting foundational discovery using structured thinking and technical expertise to understand and articulate the technical priorities of your prospects and customers. • Identifying technical stakeholders and cultivating relationships with key personas to build and drive a security architecture transformation roadmap. • Using an understanding of key customer business requirements to position, demonstrate, and create high-level designs across the entire Palo Alto Networks portfolio, creating business value for customers. • Leading successful technical validation efforts based on best practices to ensure a technical win in assigned opportunities. • Promoting specific, focused solutions that include Palo Alto Networks technologies and aligning with professional services to support initial customer outcomes and ensure successful product adoption. • Supporting project-specific technical ownership and serving as a supportive technical advisor for assigned accounts, ensuring solution validation, deployment readiness, and initial product adoption while maintaining feature alignment and immediate technical health of individual projects, resulting in strong customer relationships. • Monitoring customer usage and outcomes to help identify optimization opportunities and potential risks, partnering with account teams and other technical experts to re-engage customers and support continued value from Palo Alto Networks solutions. • Navigating the internal cross-functional landscape, collaborating with Professional Services, Customer Success, Specialists, Channel partners, and Support teams to help align strategies, remove obstacles, and contribute to a one-team approach that supports a seamless, outcome-driven journey across the customer lifecycle. • Demonstrating professional presence and strong communication skills to guide customer decision-making through impactful technical engagements, standard product briefings, feature-focused demonstrations, and workshops that translate complex security concepts into clear technical capability. • Maintaining foundational knowledge of direct competitors while presenting the value of the Palo Alto Networks platform, clearly differentiating its features, and supporting customer strategy through standard positioning and technical advocacy. • Learning continuously to develop technical and professional skills that support customer success, while engaging with the Solutions Consultant community and participating in internal knowledge-sharing opportunities. Qualifications Your Experience: • Technical pre-sales experience required; previous experience selling, implementing, or managing SaaS offerings is strongly preferred • Experience in Defense Market is required • Demonstrated ability to meet or exceed performance goals • Experience in influencing and gaining buy-in from key stakeholders, either in a customer-facing or internal role • Experience collaboratively creating and delivering standardized technical presentations, workshops, or technical validation engagements under structured guidance for standard customer accounts. • Experience in complex sales with long sales cycles, multiple buying centers, and multi-product solutions is preferred. • Skilled in or foundational knowledge in at least one of the following: Networking, Network Security, Cybersecurity, Private/Public Cloud Security, SOC/Endpoint, SASE, or AI Security. • Experience assisting a customer support-like function to ensure the successful implementation and adoption of sold solutions is strongly preferred • Driven by technical curiosity to self-develop skills in emerging domains, utilizing high AI fluency to elevate work quality and accelerate outcomes. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.