Solutions Engineer jobs in Israel

Job Description We are seeking a Data Engineer with strong technical expertise and a business-oriented mindset to lead end-to-end data, automation, and AI solutions. The role requires the ability to understand business needs and translate them into scalable, reliable technology solutions. The successful candidate will design, develop, and maintain data pipelines, automation processes, analytics, and AI-enabled solutions that drive operational efficiency and data-informed decision-making. Strong collaboration, teamwork, and communication skills are essential, including fluency in English and the ability to work effectively with both technical and business stakeholders in a local and global environment. Experience with Microsoft technologies (e.g., Azure, Power Platform, Power BI, Copilot) is a strong advantage. The position combines hands-on data engineering with automation, analytics, and AI innovation. Educational Requirements: • Bachelor’s degree in science discipline, computing science, engineering, mathematical, statistics or related field. Required Experience: • Minimum of 2 years or 5 years )for Senior position( of relevant hands on experience in building end to end data piplines and analytics which includes: • Successfully designing and delivering automation/analytics/AI-enabled solutions (e.g., dashboards, workflow automation, AI/ML solutions, ETL procceses) that produced measurable improvements. • Experience coordinating cross-functional stakeholders, with hands-on project management in a matrix environment. Preferred Experience: • Experience working across multiple countries or in regional programs. • Exposure to integrations with IT/data science teams and vendor coordination. Required Knowledge, Skills and Abilities: • Program/project management: planning, prioritization, risk/issue management, and delivery at pace; comfortable with Agile/Lean practices. • Communication & influence: excellent English communication; ability to influence across functions and present technical topics to non-technical audiences. • Change enablement: stakeholder engagement, training, and adoption support. • Problem-solving & critical thinking: structured analysis, hypothesis-driven approach, and pragmatic delivery mindset. Location Hod Hasharon, Hybrid. Extent of Travel Up to 10-20% of working time Required Skills: Adaptability, Automation, Business Process Modeling, Cross-Functional Teamwork, Data Engineering, Data Modeling, Data Pipelines, Extract Transform & Load (ETL) Tools, Process Mapping, Python (Programming Language), Solutions Design, Stakeholder Engagement Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Job Posting End Date: 11/1/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Description Kela is a defense technology startup pioneering next-generation command-and-control and data infrastructure systems. We empower defense organizations with robust, scalable, and secure platforms that integrate diverse sensors and AI to deliver real-time battlefield intelligence. Backed by leading investors, Kela combines Israeli innovation with global mission impact. This role owns the technical solution for our customers end to end, from designing the deployment for a specific site and mission, through integration and commissioning, to keeping it running and evolving in production. You are the person who knows how the system actually behaves in the field, and the person customers and internal teams come to when the answer isn't obvious. Most of the work is from the offices, with travel to customer sites for surveys, deployments, and hands-on work. Requirements What you'll do • Lead site setup and integration: stand up new deployments, configure and integrate the full stack (cameras, radars, networking, edge compute, the Kela platform), and validate the system against mission requirements • Support pre-deployment work - site surveys, POCs, feasibility assessments, technical input to proposals and customer requirement documents • Be the technical owner for one or more projects: follow them from day one, know the mission and the customers, and hold the deepest context on every detail • Own ongoing maintenance and upgrades across the production fleet - version rollouts, config changes, hotfixes • Troubleshoot issues that span application, infrastructure, and network layers - the kind that don't have an obvious owner • Act as an escalation point for support and field ops engineers, and work closely with R&D, systems, algo, and design when issues need to go deeper • Feed the field back into the product: turn recurring problems and customer needs into requirements R&D can act on • Write and maintain the run books, docs, and tooling that make the next deployment easier than the last one • Communicate clearly with customers and internal teams, especially when things are time-sensitive What we need • 4+ years in solution engineering, professional services, or production engineering - customer-facing, in mission-critical environments • Systems-level thinking: able to look at a site, a mission, and a set of constraints and produce a deployment design that works • Strong Linux fundamentals and hands-on experience operating Kubernetes in production • Networking across the stack - complex topologies, cellular, satellite, VPN/overlay networks - with real experience debugging connectivity on live sites • Proficient in Bash and Python for automation and one-off investigations • Hands-on with databases and storage: queries, diagnostics, understanding what's happening under the hood • Able to read code and debug logs to trace issues to root cause • Fluent with GitHub as a daily tool • Comfortable presenting technical material to customers, including senior and non-technical stakeholders • Precise, analytical, and reflective - you draw conclusions from data, not instinct, and you make sure the same problem doesn't bite you twice • Strong ownership and a can-do mindset: you take initiative, drive tasks to completion, and finish the half-finished thing you walked past • Learns quickly and operates effectively in a fast-paced environment with shifting priorities • Clear communicator, in writing and on calls, with technical and non-technical people alike • Willing to participate in the team's on-call rotation as part of the regular routine

Job Description We are seeking a Data Engineer with strong technical expertise and a business-oriented mindset to lead end-to-end data, automation, and AI solutions. The role requires the ability to understand business needs and translate them into scalable, reliable technology solutions. The successful candidate will design, develop, and maintain data pipelines, automation processes, analytics, and AI-enabled solutions that drive operational efficiency and data-informed decision-making. Strong collaboration, teamwork, and communication skills are essential, including fluency in English and the ability to work effectively with both technical and business stakeholders in a local and global environment. Experience with Microsoft technologies (e.g., Azure, Power Platform, Power BI, Copilot) is a strong advantage. The position combines hands-on data engineering with automation, analytics, and AI innovation. Educational Requirements: • Bachelor’s degree in science discipline, computing science, engineering, mathematical, statistics or related field. Required Experience: • Minimum of 2 years or 5 years )for Senior position( of relevant hands on experience in building end to end data piplines and analytics which includes: • Successfully designing and delivering automation/analytics/AI-enabled solutions (e.g., dashboards, workflow automation, AI/ML solutions, ETL procceses) that produced measurable improvements. • Experience coordinating cross-functional stakeholders, with hands-on project management in a matrix environment. Preferred Experience: • Experience working across multiple countries or in regional programs. • Exposure to integrations with IT/data science teams and vendor coordination. Required Knowledge, Skills and Abilities: • Program/project management: planning, prioritization, risk/issue management, and delivery at pace; comfortable with Agile/Lean practices. • Communication & influence: excellent English communication; ability to influence across functions and present technical topics to non-technical audiences. • Change enablement: stakeholder engagement, training, and adoption support. • Problem-solving & critical thinking: structured analysis, hypothesis-driven approach, and pragmatic delivery mindset. Location Hod Hasharon, Hybrid. Extent of Travel Up to 10-20% of working time Required Skills: Adaptability, Automation, Business Process Modeling, Cross-Functional Teamwork, Data Engineering, Data Modeling, Data Pipelines, Extract Transform & Load (ETL) Tools, Process Mapping, Python (Programming Language), Solutions Design, Stakeholder Engagement Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Job Posting End Date: 11/1/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

About Sisense Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for global customers across financial services, retail, healthcare, and technology. With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating innovation in embedded analytics at scale. The Role As a Solutions Engineer, you will be a key technical partner to our Account Executives, helping to prove the value of Sisense during the sales cycle. You will lead technical discovery, design and deliver compelling proofs of concept, and act as a trusted advisor to customers evaluating our AI-powered embedded analytics platform. This is a high-impact, customer-facing role where you will combine deep technical expertise with strong business acumen to drive successful sales outcomes. Work Schedule: Monday – Friday (aligning with global markets) Key Responsibilities • Work closely with Account Executives throughout the deal cycle to demonstrate the technical value of Sisense. • Lead technical and business-focused discovery sessions to qualify opportunities and uncover customer needs. • Build, own, and deliver high-quality Proofs of Concept (PoCs) using the Sisense platform, including dashboards, data modeling, embedding (React/JS SDKs), and REST APIs. • Collaborate with internal teams (Customer Success, Services, Product, Engineering) to ensure smooth opportunity progression and successful handoff to post-sales. • Contribute to internal knowledge sharing, best practices, and enablement for the broader Sales and Solutions Engineering teams. • Stay current with analytics, AI, and embedded technology trends to provide strategic technical guidance. Requirements • 5+ years of experience in a technical, customer-facing role (Sales Engineering, Professional Services, Technical Account Management, or similar). • Strong ability to communicate complex technical concepts clearly to both technical and non-technical audiences. • Hands-on experience with SQL and modern analytics/BI platforms, data warehouses, and ETL tools • Proficiency with JavaScript or a JavaScript framework (React/Angular/Vue ); experience with embedding solutions is a strong plus. • Solid understanding of data analytics, BI, and modern data platforms. • Experience with cloud solutions and SaaS environments. • Ability to work independently while knowing when to escalate or pull in resources. • Fluent English. • Comfortable working in a fast-paced, remote environment with occasional early morning calls. Nice to Have • Experience with Python or other server-side languages. • Background in embedded analytics, AI/ML, or developer platforms. • Previous exposure to sales processes and value-based selling. Why Join Sisense This is an exciting opportunity to join a highly technical Sales Engineering team at a company that is shaping the future of embedded AI analytics. You’ll work on challenging, meaningful projects, collaborate with talented colleagues across the globe, and help customers unlock real business value with cutting-edge technology. If you’re a technical, customer-oriented professional who loves solving complex problems and driving technical sales, we’d love to hear from you.

WalkMe, an SAP company, pioneered the world's leading Digital Adoption Platform, helping organizations navigate change across any application or system. Today it is the platform that drives AI adoption across the enterprise. Enterprise work stays fragmented across applications, and that fragmentation compounds as AI advances. Traditional training and vendor-provided help leave organizations managing change one application at a time. WalkMe guides people through change, brings AI into the flow of work, automates tasks and shows executives how workflows perform. Global leaders including IBM, Nestlé, Thermo Fisher Scientific, and the U.S. federal government trust WalkMe. WalkMe turns AI potential into AI performance. So, if you’re an expert in your field, and looking for an opportunity to work, collaborate, and innovate with some of the most talented people out there, WalkMe is the place for you! We are seeking a Technical Solution Engineer to join our growing team. This hands-on, execution-focused role combines technical solution delivery with deep customer engagement and systems analysis. Working closely with Software Engineers, Product Managers, Solution Architects, Professional Services, and Customer Success, you will translate business requirements into effective digital adoption experiences, solve complex technical challenges, and ensure the ongoing success of our enterprise customers. Key Responsibilities • Implementation & Build: Build, configure, and implement digital adoption solutions embedded within complex web applications according to defined requirements, timelines, and quality standards. • System & Process Analysis: Analyze and research customer use cases, user workflows, and application processes in web systems to design scalable technical solutions. • Technical Troubleshooting & Monitoring: Monitor production logs in backoffice systems to proactively identify and address potential issues before they impact end-users. Serve as an internal point of escalation for Support and Technical teams to drive root-cause resolutions. • Solution Architecture & Execution: Participate in solution design discussions, owning assigned build components end-to-end—including DOM manipulation, custom scripting, configuration, testing, and iterating based on feedback. • Quality Assurance & Performance: Execute thorough quality assurance testing to ensure implementations scale to millions of users while meeting accessibility, responsiveness, and cross-browser/platform standards. • Cross-Functional Collaboration: Partner closely with Software Engineers, Product Managers, Customer Success, Professional Services, and Support to ensure seamless customer deliveries and share direct product feedback with R&D. • Lifecycle Maintenance: Maintain and enhance existing digital adoption implementations through application releases, platform updates, and evolving customer processes. • Innovation & Excellence: Proactively identify innovative ways to provide customers with an outstanding product experience while advancing digital adoption capabilities. Required Qualifications • A B.A from a leading university - a must! • Full professional proficiency in English (written and spoken) with the ability to communicate clearly and eloquently. • Proficiency with JavaScript, HTML, CSS, jQuery, Web Developer Tools, and DOM Manipulation. • Knowledge and understanding of UI/UX principles. • Strong multi-tasking skills, customer-service orientation, and the ability to quickly learn new technologies and product lines in a dynamic environment. • Customer service orientation. • Ability to work independently with little direct supervision, managing assigned tasks while navigating cases of confusion or incomplete information. • Willingness to work in a hands-on and dynamic environment with a constantly evolving product. • Excellent communication skills. • Exceptional attention to detail and commitment to delivering reliable, scalable, high-quality solutions.

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.

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!

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.

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 Global-e (Nasdaq: GLBE) is the world’s leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets. Trusted by some of the world’s most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victoria’s Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC. Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. We’re a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work. Responsibilities: • Lead technical discovery and solution-design workshops with merchant engineering, architecture, and business teams. • Understand the merchant’s existing e-commerce architecture, business requirements, operational processes, and technical constraints. • Define the most appropriate Global-e integration approach across supported platforms, APIs, order management systems, and fulfilment solutions. • Design end-to-end solutions, including system interactions, data flows, integration responsibilities, dependencies, and technical risks. • Translate business requirements into clear technical specifications and implementation plans. • Act as the technical owner throughout delivery, ensuring the agreed solution is implemented correctly and aligned with Global-e best practices. • Guide merchants and partners through configuration, development, testing, launch readiness, and go-live. • Identify technical risks and complexity early, challenge non-scalable designs, and recommend practical alternatives. • Investigate complex integration issues by reviewing API payloads, logs, network traffic, system behaviour, and configuration. • Coordinate with Product and R&D when product changes, technical clarifications, or defect resolution are required. • Provide structured feedback to Product and R&D based on recurring merchant requirements and integration patterns. • Support internal teams through technical enablement, documentation, and knowledge sharing. Requirements • 3+ years of experience in solutions engineering, technical consulting, solution architecture, implementation, or systems integration within a SaaS or technology environment. • Experience owning customer-facing technical projects from discovery through implementation and launch. • Strong understanding of solution design, system integrations, APIs, web technologies, and data flows. • Hands-on experience with REST APIs, JSON, HTTP, SQL, and API testing tools such as Postman. • Ability to understand and document complex technical architectures and integration requirements. • Experience with e-commerce platforms such as Shopify, Magento, Salesforce Commerce Cloud, or similar platforms is highly desirable. • Understanding of checkout, payments, order management, fulfilment, and e-commerce operational flows is a strong advantage. • Strong communication skills, with the ability to explain complex technical topics to both technical and non-technical stakeholders. • Strong ownership, organization, and prioritization skills, with the ability to manage several integrations simultaneously. • Comfortable working across globally distributed Product, R&D, Project Management, Operations, and commercial teams. • You will help merchants launch scalable, reliable integrations by making the right technical decisions early, managing complexity throughout delivery, and acting as the bridge between the merchant’s technology landscape and Global-e’s platform.