Solutions Engineer jobs in Tel Aviv-Yafo

Solutions Engineer - Tel Aviv, Israel, , Mid-Senior, Full time

About the Role Jeen Talk is looking for an AI Solution Engineer to design, implement, deploy, and operate AI-powered solutions for enterprise customers. This is a hands-on, multidisciplinary role combining AI, integrations, customer-facing work, and technical problem-solving. You'll work directly with customers from discovery and solution design through implementation, production deployment, monitoring, and optimization. You'll build solutions including Voice AI Agents, Text Agents, conversational workflows, and AI-powered conversation analysis, while supporting customers using the Jeen Talk SaaS platform. Key Responsibilities Design, configure, and deploy Voice AI Agents, Text Agents, and conversation analysis solutions. Translate customer business processes and requirements into working AI solutions. Own customer implementations end-to-end, from technical discovery and solution design through production deployment. Integrate Jeen Talk with APIs, CRM systems, telephony/PBX platforms, databases, knowledge bases, and other enterprise systems. Configure prompts, workflows, business logic, AI models, tools, and integrations according to customer requirements. Monitor production AI agents, troubleshoot technical issues, perform root-cause analysis, and continuously optimize performance. Support enterprise customers using the Jeen Talk SaaS platform. Work closely with Product, R&D, Sales, and Customer Success, bringing insights from customer implementations back into the product. Manage multiple customer implementations simultaneously and take ownership through successful production delivery. Requirements 2+ years of professional experience in Solution Engineering, Software Engineering, Technical Implementation, Integrations, or a similar technical role. Hands-on experience with Python and the ability to build scripts, integrations, and technical solutions. Experience working with REST APIs, webhooks, and system integrations. Experience working with databases and data-driven applications. Hands-on experience or strong technical knowledge of Generative AI and LLM-based applications, including prompting and AI workflows. Strong understanding of SaaS applications and production environments. Strong troubleshooting and root-cause analysis skills across multiple systems and integrations. Ability to understand customer business requirements and translate them into technical solutions. Strong customer-facing and communication skills. Ability to independently own multiple technical implementations from requirements through production. Preferred Qualifications Experience with Voice AI, conversational AI, AI Agents, chatbots, or automation platforms. Experience with FastAPI, TypeScript, Node.js, or React. Experience with RAG, Vector Databases, Embeddings, Guardrails, or LLM evaluation. Experience with telephony and contact-center technologies, including SIP, PBX, VoIP, CTI, or telephony APIs. Experience integrating with CRM, contact-center, or other enterprise systems. Experience with Cloud environments, Docker, Kubernetes, or microservices. Experience supporting customer-facing systems running in production. Previous experience in a contact center or customer-service environment.

Milestone is a fast-growing AI engineering intelligence company, helping enterprises measure AI spend, agents and engineering ROI across their organizations. We're a 20-person team building at the intersection of data, AI, and product analytics, and we're looking for a Senior Solutions Engineer to play a key role in our customer-facing technical efforts. This is a hands-on, high-ownership role suited for someone who enjoys working closely with customers while diving deep into technical problem-solving in a startup environment. What You'll Do Lead technical demos and product deep-dives during sales cycles and for paying customers post-sale Act as the technical bridge between customers and R&D, performing initial investigations of customer-reported issues Provide occasional Tier 3 support for complex or escalated cases Own and implement customer-facing analytics tools, including configuring Apache Superset connected directly to our datalake Collaborate with Sales, Product, and Engineering to translate customer needs into scalable solutions Help shape technical processes and best practices in a small, fast-moving team What We're Looking For Required 5+ years in a customer-facing technical role (Solutions Engineer, Sales Engineer, Technical Consultant, etc.) Strong technical troubleshooting skills and comfort working across data, APIs, and integrations Experience implementing or configuring BI / analytics tools (e.g., Superset, Looker, Tableau) Excellent communication skills with both technical and non-technical stakeholders Ability to thrive in a startup environment with broad responsibilities Why mstone.ai Be part of a category-defining AI native company at an early stage Work in a small, high-impact team where ownership and autonomy are core Influence customer experience, product direction, and technical execution

We're looking for a Business AI Solutions Engineer to join our newly established role at our professional services team at Rise. In this role, you'll identify opportunities, develop AI-powered solutions, and automate business processes across the organization. We're looking for someone who combines strong technical skills, creativity, and a problem-solving mindset, with the ability to turn ideas into working solutions. Responsibilities Identify opportunities to improve business processes using AI and automation. Design, develop, and deploy AI-powered tools, agents, and workflows. Build integrations between internal systems, APIs, and AI platforms. Collaborate with different departments to understand needs and deliver practical solutions. Own solutions end-to-end, from initial concept to deployment and optimization. Evaluate new AI technologies and drive their adoption across the organization. Requirements 2+ years of experience in automation, software development, technical solutions, or similar roles. Hands-on experience with AI tools, LLMs, and AI-assisted development. Experience with Python and/or JavaScript. Strong understanding of APIs, webhooks, and system integrations. Ability to independently design, build, and troubleshoot technical solutions. Strong analytical thinking, ownership, and problem-solving skills. Excellent communication skills in English. Advantages Experience with automation platforms such as n8n, Make, or Zapier. Experience building AI agents, RAG solutions, or LLM-based workflows. Familiarity with SQL, cloud services, and data platforms. Experience with Claude Code, Cursor, or similar AI development tools. Background in AdTech or SaaS environments.

About REAL REAL is building an AI Execution Platform for enterprise real estate organizations. Our platform transforms fragmented business and financial data into connected intelligence, enabling customers to automate complex workflows, improve operational accuracy, and make better business decisions. At REAL, you’ll work with cutting-edge AI technology, enterprise customers, and a product that is redefining how commercial real estate organizations operate. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters in everything we build. Velocity: We work with urgency and intent. Partnership: We collaborate closely with customers and teammates. Role Overview As a CRE Solutions Engineer at REAL, you’ll work at the intersection of Sales, Customer Success, Product, and the commercial real estate industry. You’ll bring deep business and industry knowledge into customer conversations, helping us understand how enterprise real estate organizations operate, uncover their most important pain points, and demonstrate how REAL can solve them. This is a highly customer-facing and commercially oriented role. You’ll partner closely with our Sales team throughout the sales process, from discovery and product demonstrations to solution design and technical validation. You’ll also work with existing customers to identify new use cases and expansion opportunities. We’re looking for someone who understands the business behind commercial real estate or construction, can quickly understand complex customer workflows, and knows how to turn business challenges into compelling technology solutions. What You’ll Do • Partner with the Sales team throughout the enterprise sales process, from discovery and product demonstrations through solution design and closing. • Lead customer discovery to understand business challenges, workflows, and pain points, and translate them into compelling REAL use cases. • Bring deep commercial real estate expertise into customer conversations and help identify where REAL can create measurable business value. • Deliver tailored product demonstrations aligned with each customer’s business and priorities. • Work with existing customers to identify new use cases and expansion opportunities. • Act as a trusted business and product partner across both pre-sales and post-sales engagements. • Collaborate with Sales, Customer Success, Product, and Engineering to translate customer needs and market insights into actionable solutions and product feedback. • Continuously deepen your knowledge of REAL’s platform and the commercial real estate market. Requirements What We’re Looking For • 4+ years of professional experience in commercial real estate, real estate advisory/services, PropTech, construction, Fintech, accounting roles or a closely related industry. • Experience within the commercial real estate ecosystem, such as an operator, developer, investment firm, property management company, construction company, or leading CRE advisory/services firm. • Strong understanding of commercial real estate business, financial, and operational processes. • Experience in a client-facing or customer-facing role, with the ability to communicate confidently with senior stakeholders. • Strong commercial mindset and ability to uncover business needs, identify opportunities, and connect them to technology solutions. • Excellent communication and presentation skills, with excellent written and spoken English — mandatory. • Strong analytical and problem-solving skills, with the ability to quickly learn and clearly communicate complex technology. • Comfortable working cross-functionally with Sales, Customer Success, Product, and Engineering.

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

Zipher is building the Autonomous Execution Layer for cloud data and AI, a new category we are defining: $50M raised and live in Fortune 500 environments. We are hiring a Solution Engineer (FDE), Forward Deployed Engineer, to join a deliberately talent-dense team. As our Solution Engineer (FDE), you will work embedded with the engineering teams of the world's largest data and AI organizations, write the code that connects Zipher to their live workloads, and own every deployment until it runs and delivers in production. Our Solution Engineers work the way Forward Deployed Engineers do: as software engineers first. Whether your title today is Solutions Engineer, Forward Deployed Engineer, Solutions Architect, or tech lead, you grew up as a developer, and you spend your days in code. What You'll Do Own Zipher's technical win with its enterprise customers Deploy Zipher into the customer's production: build the integrations, connectors, and deployment code that plug the engine into Databricks, Spark, Kubernetes, and AWS Write production code in the field: debug live pipelines, ship fixes and extensions, and turn every one-off into a reusable building block Own each deployment end to end, through to the measured impact on cost, performance, and reliability Bring the field back into the product, with core engineering and the founders What We Offer A product that is already winning: in production inside Fortune 500 environments An engineering seat in the field: as an FDE, you write the code and own the deployment architecture, and what you build shapes what we ship next Engineers worth learning from: a deliberately talent-dense team and direct work with the founders Room to grow and to lead: your ownership widens as the platform does Top-of-market compensation and a meaningful equity package The teams running the world's largest data and AI workloads are about to stop tuning them by hand. Come be the engineer who puts it in production - Hit Apply. What You'll Bring 5+ years writing production code as a software engineer: backend, full stack, or data Strong production coding in Python or another backend language, and hands-on depth in cloud and data platforms: AWS, Databricks, Spark, Kubernetes, or adjacent Solutions built directly with B2B or B2E customers, deployed into their production systems in real time Strong customer-facing abilities and a customer-oriented mindset: you earn the trust of senior engineers in their own environment A high-agency engineering mindset: as comfortable in a customer's codebase as in your own Nice to Have BSc in Computer Science, Electrical Engineering, or a related engineering discipline A developer seat in an elite IDF technology unit (8200, Mamram, Ofek, Matzpen) or another high-performance engineering environment Databricks, Apache Spark, Snowflake, Airflow, dbt, or cloud-native data platforms Background in platform engineering, SRE, or data engineering

About REAL REAL is building an AI Execution Platform for enterprise real estate organizations. Our platform transforms fragmented business and financial data into connected intelligence, enabling customers to automate complex workflows, improve operational accuracy, and make better business decisions. At REAL, you’ll work with cutting-edge AI technology, enterprise customers, and a product that is redefining how commercial real estate organizations operate. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters in everything we build. Velocity: We work with urgency and intent. Partnership: We collaborate closely with customers and teammates. Role Overview As a CRE Solutions Engineer at REAL, you’ll work at the intersection of Sales, Customer Success, Product, and the commercial real estate industry. You’ll bring deep business and industry knowledge into customer conversations, helping us understand how enterprise real estate organizations operate, uncover their most important pain points, and demonstrate how REAL can solve them. This is a highly customer-facing and commercially oriented role. You’ll partner closely with our Sales team throughout the sales process, from discovery and product demonstrations to solution design and technical validation. You’ll also work with existing customers to identify new use cases and expansion opportunities. We’re looking for someone who understands the business behind commercial real estate or construction, can quickly understand complex customer workflows, and knows how to turn business challenges into compelling technology solutions. What You’ll Do • Partner with the Sales team throughout the enterprise sales process, from discovery and product demonstrations through solution design and closing. • Lead customer discovery to understand business challenges, workflows, and pain points, and translate them into compelling REAL use cases. • Bring deep commercial real estate expertise into customer conversations and help identify where REAL can create measurable business value. • Deliver tailored product demonstrations aligned with each customer’s business and priorities. • Work with existing customers to identify new use cases and expansion opportunities. • Act as a trusted business and product partner across both pre-sales and post-sales engagements. • Collaborate with Sales, Customer Success, Product, and Engineering to translate customer needs and market insights into actionable solutions and product feedback. • Continuously deepen your knowledge of REAL’s platform and the commercial real estate market. Requirements What We’re Looking For • 4+ years of professional experience in commercial real estate, real estate advisory/services, PropTech, construction, Fintech, accounting roles or a closely related industry. • Experience within the commercial real estate ecosystem, such as an operator, developer, investment firm, property management company, construction company, or leading CRE advisory/services firm. • Strong understanding of commercial real estate business, financial, and operational processes. • Experience in a client-facing or customer-facing role, with the ability to communicate confidently with senior stakeholders. • Strong commercial mindset and ability to uncover business needs, identify opportunities, and connect them to technology solutions. • Excellent communication and presentation skills, with excellent written and spoken English — mandatory. • Strong analytical and problem-solving skills, with the ability to quickly learn and clearly communicate complex technology. • Comfortable working cross-functionally with Sales, Customer Success, Product, and Engineering.

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

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.

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 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 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.

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.

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.

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.

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 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