Jobs in Tel Aviv-Yafo

Meet the Team We are a leading Design for Test (DFT) group, delivering end-to-end solutions for Cisco’s flagship products, including Cisco Silicon One. Our chips are strategically placed in critical AI infrastructure, powering next-generation network devices and supporting advanced AI workloads. We push the boundaries of technology by developing innovative DFT solutions that drive industry-leading programmability, scalability, test quality, and performance. Our team operates in a hybrid model, with three days a week in the office in Midtown Tel Aviv or Caesarea, fostering collaboration and technical excellence in a startup-like atmosphere within a stable, global corporation. Role Focus: We are looking for an experienced Design Verification engineer to join our DFT team and help establish and grow DFT DV activity in the Cisco SiliconOne DFT team. This role is relevant for engineers with experience in DV roles, either in DFT DV or in other verification domains, who are interested in becoming familiar with DFT design, verification methodologies, and the challenges of validating testability features in advanced silicon. Your Impact Lead and drive DFT verification activities within the Cisco SiliconOne DFT team. Develop verification plans, environments, checkers, assertions, and coverage models for DFT features. Verify DFT architecture and implementation in close collaboration with DFT, design, architecture, and verification teams. Work on verification of scan, MBIST, IJTAG/JTAG, test access mechanisms, DFT controllers, and related SoC-level test features. Debug complex pre-silicon issues across RTL, verification environments, and DFT logic. Contribute to scalable methodologies, reusable verification components, and best practices for DFT DV. Help bridge between general DV methodologies and DFT-specific design and verification needs. Minimum Qualifications • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or a related field. • 5+ years of experience in design verification roles. • Strong experience with SystemVerilog and UVM-based verification environments. • Experience developing verification plans, coverage models, assertions, and debug flows. • Strong communication skills and ability to work closely with cross-functional teams. • Motivation to learn DFT concepts and become a key contributor in the DFT DV domain. Preferred Qualifications • Familiarity with DFT concepts such as scan insertion, memory BIST, ATPG, boundary scan, and silicon test flows. • Experience with complex SoC verification, networking silicon, or high-performance AI-driven silicon. • System-level understanding of large-scale chip architecture and integration. • Ability to build new methodologies and establish verification activity from the ground up. • High attention to detail, ownership mindset, and willingness to grow into new technical domains. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

D-ID is the leading interface for the agentic revolution, pioneering Natural User Interfaces (NUI) with hyper-realistic, interactive avatars for AI agents, assistants, and co-pilots. With an enterprise-grade, secure, and scalable streaming API, D-ID enables seamless, human-like interactions that enhance trust and redefine AI-powered communication. Since its founding in 2017, D-ID has been supported by tier-1 VCs. Over 180 million videos featuring digital humans have been created using D-ID’s self-service studio and integrations, while more than 280,000 developers are building innovative solutions with the D-ID API. At D-ID, we're not just building tech- we're redefining how humans interact with AI. You'll be joining a team that's leading the agentic revolution through hyper-realistic avatars and next-gen user interfaces, used by developers and enterprises. You’ll work alongside highly talented, motivated, and impact-driven individuals, all passionate about pushing the boundaries of what’s possible. We are looking for an exceptional Full Stack Developer to join our world-leading team in building high-impact products using state-of-the-art technology. Requirements Role & responsibilities • Serve as a technical leader professionally and personally • Mentor and supervise other team members and team initiatives • Design, plan and lead the execution of high scale applications • Develop the backend for real-time video production using AI • Build & monitor Azure & AWS cloud infrastructure for big scale • Develop the company’s web apps and public API You are • Hands on • AI tools fluent • Team player • Self-learner, Independent and self-motivated Qualifications • B.Sc.or M.Sc in Computer Science or equivalent experience • 5+ years of experience in full-stack development • Node.js or python • React.js Angular.js or equivalent • Containerized microservice apps & orchestration • Experience as tech lead or architect - advantage • Serverless framework - advantage • DynamoDB, Redis, Elastic stack - advantage Why join us • A successful and established startup with hundreds of Fortune 1000 as customers • Impactful projects at the forefront of technology. • Collaborative and supportive work environment. • Opportunities for professional growth and advancement

Join D-ID’s research team to develop the next generation of multimodal video diffusion models and bring cutting-edge research into real-time products used at global scale. About the Team Our research team is small, fast-moving, and highly impactful. We develop multimodal generative models for real-time video creation, turning cutting-edge research into scalable products. We are looking for researchers with deep expertise in generative video to join a team at the core of D-ID’s technology and help shape the future of generative AI. Why Work at D-ID? • Work on cutting-edge video-generation technology at the forefront of AI. • See your research become part of products used at global scale. • Own meaningful research and engineering challenges as part of a small, high-impact team. • Help solve complex problems in real-time video generation. • Build technology that brings the next generation of AI assistants to life. Role & Responsibilities • Research, develop, and evaluate generative AI models for video generation. • Design experiments and evaluation methods covering visual quality, temporal consistency, identity preservation, and performance. • Explore, validate, and implement innovative research ideas. • Own the full lifecycle from research and experimentation to production deployment. • Build models and systems that perform reliably at scale and in real time. • Collaborate closely with research, engineering, and product teams. You are • A curious researcher and dedicated self-learner. • Independent, proactive, and self-motivated. • A hands-on problem solver who is comfortable navigating open-ended research challenges. • A collaborative colleague who enjoys working across disciplines. • Comfortable working in a fast-paced, high-impact environment. Requirements • M.Sc., Ph.D., or equivalent industry experience. • Strong foundation in mathematics. • Expertise in image processing and computer vision. • A strong research track record in generative modeling, computer vision, or a related field. • Strong programming and software design skills. • Hands-on experience training video diffusion models. • Deep understanding of modern generative-model architectures and training methods. How to stand out in the crowd • Experience with multimodal models. • Experience optimizing model inference. • Trained large scale models over cloud infrastructure. About Us D-ID’s generative AI technology transforms customer experience, learning and development, sales, and marketing through video. Our platform enables creators to generate photorealistic digital presenters from text—dramatically reducing the cost and complexity of producing video content at scale and real time. Our customers include most of the Fortune 1000 companies, and organizations across financial services, automotive, technology, retail, entertainment, marketing, production, and social media. Founded in 2017 and backed by leading venture capital firms, D-ID makes its technology available through a self-service studio, API, and plug-ins. Our technology powers lifelike AI assistants and other interactive digital experiences. To date, more than 150 million videos have been created using D-ID’s technology, and over 200,000 developers have used our API. Now it’s your perfect time to join us!

D-ID is building the next generation of human-AI interaction. Our hyper-realistic, interactive avatars power everything from studio-quality generated videos to real-time interactive AI experiences for developers and enterprises around the world. We’re looking for a Senior Product Manager (5–7 years of experience) to own D-ID’s video offering and lead its convergence with our real-time agents. This is a hands-on role with real ownership, joining a team that values clear thinking, strong execution, and meaningful impact. Requirements What You’ll Do? • Own the video product line - lead strategy, roadmap and execution for D-ID’s video generation offering (Studio and API), from creation workflows to output quality, speed and scale. • Own the platform convergence strategy - shape how D-ID’s video generation and interactive agents come together into one product. Set the vision, design and execute the combined experiences to drive expansion, retention and competitive differentiation. • Build with AI, not just for it. Use AI tools every day across the product workflow. Prototype ideas directly with tools like Claude Design and use AI to speed up research, specs, competitive analysis and data work. Help set how the product team works AI-first. • Own the product end-to-end - lead the full product lifecycle, from early concept and requirements, to launch and adoption. Define product KPIs, track performance, and constantly improve outcomes. • Shape strategy and roadmap - build and communicate a clear product vision and roadmap grounded in user needs, competitive landscape, and business priorities. Turn market and customer insights into product decisions. • Drive development with R&D - work closely with engineering, research, and design to define requirements, scope work and ensure smooth delivery. Manage trade-offs, timelines, cost and product quality. • Lead customer-facing execution - understand customer needs deeply and translate them into product improvements and scalable solutions. • Packaging, pricing and go-to-market. Shape how video and agents are packaged, priced and sold together in partnership with sales, marketing and customer success. • Research, validate, and iterate - conduct competitive analysis and explore emerging technologies. Refine pricing, packaging, and business models to support company goals. Who You Are? • A hands-on PM with 5-7 years of product management experience, ideally in a fast-growing startup. • Proven ability to take products from idea → launch → scale. • Strong technical understanding, working on APIs, backend systems, integrations, or SaaS platforms. • AI-native in how you work. Hands-on with AI tools (e.g., Claude, Claude Design, Cursor, Lovable) for prototyping, research and writing. You’d rather show a working prototype than a static spec, and you know where AI speeds you up and where it needs your judgment. • Experience owning a video, content-creation or media product - strong advantage. • Experience integrating or consolidating multiple products into one platform or user journey - strong advantage. • A strong sense for design and user experience. • Experience building B2B and/or B2B2C products and working with enterprise customers. • Comfortable working with data, user research, and clear KPIs to guide decisions. • Experience with AI, Generative AI, LLMs, or conversational interfaces - strong advantage. • Creative thinker who can spot opportunities early and turn them into real products. • Excellent communicator who works well with engineering, design, sales, and customers. • Strong product sense, strong execution, and strong ownership. • Fluent in English. Why Join D-ID? • Build products at the frontier of AI - avatars, agents, and next-gen user interfaces. • Work with a talented, collaborative team that moves fast and aims high. • Real impact • Opportunities for personal and professional growth as the company rapidly scales.

Description About Us Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role We’re seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen Zenity’s detection capabilities. In this role, you’ll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. It’s a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses. Responsibilities • Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies. • Conduct research on cloud, web, and API security to uncover new threats and attack vectors. • Develop, refine, and design world-class detection logic and rules to enhance Zenity's runtime protection. • Perform threat-hunting activities across large data sources to identify emerging attack patterns • Drive full-cycle research: from hypothesis and experimentation to production validation. • Collaborate with engineering and product teams to deliver actionable insights. Requirements • 4+ years in security research, including cloud, web, or API security. • Experience in detection engineering and building or working with detection-driven security products. • Strong coding and data analytics skills in scripting and programming languages such as Python, JavaScript and bash, and proficiency with SQL-like queries. • Solid grasp of security principles, cloud security, and runtime defense. • Curiosity, creativity, and a self-driven approach to research. • Experience tinkering with LLMs and AI security - a strong plus.

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role: Zenity is looking for a Software Architect to lead the technical evolution of our next-generation AI cybersecurity platform. You'll work across teams to solve the company's most challenging architectural problems while remaining deeply hands-on - building prototypes, validating new technologies, and helping engineering teams deliver production-ready solutions. The role requires both deep engineering expertise and the ability to shape the architecture of large-scale data, cloud, and AI systems that power our platform. What You’ll Do Responsibilities: • Partner with engineering teams to solve complex architectural and technical challenges, leading the design of scalable, secure, and maintainable systems. • Build and validate proofs of concept (PoCs) to evaluate new architectures, data platforms, AI capabilities, and emerging technologies. • Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions. • Lead architecture and design reviews, ensuring scalability, reliability, security, and operational excellence. • Mentor engineers through hands-on collaboration, code reviews, and system design discussions while promoting AI-native engineering practices. Requirements Requirements: • 7+ years in a senior technical leadership role (Principal Architect, Staff Engineer, Lead Engineer, or equivalent) with a strong track record of designing and delivering production systems. • Deep expertise in large-scale distributed systems, data processing pipelines, and cloud-native architectures. • Strong background in cybersecurity and secure system design; experience in SaaS or cybersecurity products is a significant advantage. • Hands-on experience building, deploying, and scaling AI-native applications and agentic workflows in enterprise production environments. • Proven track record implementing scalable agentic architectures, agentic orchestration frameworks, and evaluation pipelines for production AI systems. • Experience managing latency, cost, reliability, and security considerations when serving AI/Agentic workloads at scale. • Familiarity with agentic AI frameworks and modern AI-native engineering, including coding agents and AI-assisted software development. • Experience designing and building multi-tenant SaaS platforms with strong isolation and scalability characteristics. Familiarity with Bring Your Own Cloud or similar deployment models in enterprise environments. • Excellent communication and technical leadership skills, with the ability to influence architecture and collaborate effectively across multiple engineering teams.

Description About Us: Zenity is the leading AI agent security platform, helping enterprises secure AI agents everywhere: SaaS, homegrown, and on the endpoint. Our platform gives security teams visibility into every agent and its actions, enforces what agents are allowed to do, and detects and responds to threats across the full agent lifecycle. Backed by top-tier investors including Norwest, SoftBank Vision Fund 2, and Microsoft's M12, Zenity is a fast-growing company with a world-class team of researchers, engineers, and security practitioners. We're defining a new category, and the problems we solve are ones no one has solved before. About the Role: We're looking for a Senior Product Manager to own two strategic areas of our platform: Endpoint and Outpost. On the endpoint, you'll shape how Zenity secures AI agents and AI-powered tools running on user devices, as local and on-device AI adoption accelerates. With Outpost, you'll define how we serve regulated and security-sensitive customers who need to keep sensitive data processing inside their own environment, while still benefiting from the full Zenity platform. This is a highly technical, high-impact role at the intersection of cybersecurity and AI. You'll work directly with R&D, Research, Sales Engineering, and customers to turn deep technical problems into products that enterprises trust. What You’ll Do Responsibilities: • Own the product vision, strategy, and roadmap for Endpoint and Outpost, aligned with Zenity's broader platform strategy • Translate complex customer needs, security threats, and technical constraints into clear requirements and well-scoped deliverables • Partner closely with Engineering and Research to design, build, and ship features from concept to GA • Work with enterprise customers and prospects, especially in regulated industries, to understand their deployment, privacy, and data residency requirements • Stay on top of the evolving AI agent threat landscape and turn insights into product capabilities • Collaborate with Sales, Sales Engineering, and Customer Success to support go-to-market, customer deployments, and technical enablement • Define success metrics, track adoption, and use data and customer feedback to drive prioritization • Contribute to product positioning and messaging in partnership with Product Marketing • Evaluate the market and competitive landscape and identify new opportunities  Requirements Requirements: • 5+ years of experience as a Product Manager, including ownership of technical products end to end • Strong technical background; able to go deep with engineers and understand system architecture, deployment models, and trade-offs • Hands-on experience in cybersecurity (e.g., endpoint security, EDR/XDR, cloud security, identity, data security, or related domains) • Experience working with AI/ML products or technologies, with a solid understanding of how modern AI agents, LLMs, and agentic workflows operate • Experience building or managing products for enterprise customers • Proven ability to define strategy, prioritize in ambiguity, and drive execution across teams • Excellent communication skills in English and Hebrew, with the ability to present to both technical and executive audiences • Self-starter mentality, with ownership, curiosity, and comfort in a fast-paced startup environment Nice to Have: • Experience with endpoint agents/sensors or on-device software across macOS and Windows • Experience with hybrid, private cloud, or customer-hosted deployment models • Familiarity with data residency, encryption, and compliance requirements (e.g., BYOK/CMEK, FedRAMP, SOC 2) • Background in security research, SOC operations, or as a security practitioner • Experience at an early-stage or high-growth security startup About Zenity Why Zenity? • Work on the cutting edge of AI security, a category that's being defined right now • Join a company with strong momentum and top-tier backing • Collaborate with a talented, driven, and down-to-earth team • Real ownership and the opportunity to shape the product and the company • Competitive compensation package and benefits

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role: We're looking for a Principal Product Manager to define and drive Zenity's product strategy across our strategic technology partners. This role sits at the intersection of product management, technology strategy, and customer discovery. You'll work closely with product and engineering leaders at leading technology companies to identify opportunities, shape joint product experiences, and deliver integrations that create meaningful value for our customers. You'll own the product vision for our ecosystem—discovering new capabilities, influencing roadmaps, and ensuring Zenity delivers a seamless experience across the platforms our customers use every day. What You’ll Do Responsibilities • Define and execute Zenity's product strategy for strategic technology partnerships, prioritizing ecosystem investments based on customer needs, business impact, and strategic value. • Build trusted relationships with Product Managers, Architects, and Engineering teams at leading technology partners, and influence their roadmaps by collaborating closely on APIs, platform capabilities, and joint initiatives. • Identify customer problems that can be solved through joint product experiences, and define compelling "Better Together" solutions that drive customer value and differentiate Zenity. • Own the end-to-end product lifecycle for strategic integrations - from discovery and prioritization to launch and adoption - collaborating with Engineering, Design, Product Marketing, Sales, and Customer Success along the way. • Define success metrics and continuously measure adoption, customer impact, and business outcomes. • Represent Zenity in product discussions with strategic technology partners and customers. Requirements Requirements • 5+ years of Product Management experience building B2B SaaS products, with a proven track record of taking products from concept to customer adoption. • Experience building APIs, integrations, or platform/ecosystem products, including strategic product partnerships or cross-company product initiatives. • Strong technical aptitude and the ability to work effectively with engineering teams on complex technical initiatives. • Exceptional product discovery skills and deep customer empathy. • Outstanding communication and stakeholder management skills, including the ability to collaborate and influence across organizations without direct authority, engaging both technical and executive audiences. • A strategic mindset combined with a hands-on approach to execution. • Experience in cybersecurity, enterprise software, AI, or cloud platforms.

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Team The CTO Office is Zenity’s core discovery engine, dedicated to navigating the rapid evolution in AI agent security and “building the lighthouse.” We are a high-agency team of hands-on technical leaders with integrated Engineering, Research, and Product mindsets. Our mission: incubate new ideas, define the approach to emerging attack classes, and build working POCs that prove technical reality. Guided by the CTO, Product, and GTM, we validate hard, open problems and actively support the Product organization by opening new development paths and seamlessly handing over advanced capabilities. What You’ll Do Responsibilities: • Take an ambiguous, open-ended security challenge and drive it toward a working POC that proves the Zenity approach, ensuring technical feasibility and clear business value. • Partner closely with Product, R&D, and GTM. Don’t just analyze emerging problems—design and POC the solutions so customers experience the value firsthand. • Own the end-to-end innovation loop: ideation, scoping, prototyping, customer validation, and documentation. • Lead the decision-making on architecture, tooling selection, and technical tradeoffs. • Manage the transition of successful POCs to Engineering and lead the incubation of new product directions. • Stay ahead of the rapid AI evolution and provide a strategic perspective on industry needs. Requirements Requirements • Technical execution. 7+ years of deep experience shipping security products or leading major initiatives across Engineering, Research, and Product. • Leadership. You have moved beyond IC work to lead multidisciplinary teams or high-stakes initiatives as a Director, Founder, or lead, guiding the full cycle from research to product handover. • AI. Hands-on experience building with LLMs and AI agents. You understand how they work, where they fail, and how to instrument and reason about them, not just call an API. You are fluent with AI-assisted coding. • Cybersecurity judgment. Expert-level understanding of attack paths and defensive controls. You can earn credibility with researchers and CSOs alike through opinionated, technical leadership. • Product mindset. You can hold “is this the right thing to build?” in tension with “is this technically feasible?” and decide both. You care about who the user is and what they need. • Agency. Comfortable starting from a blank page, working without a spec, and being the one who defines what “done” looks like. You move fast, ship POCs, write the doc, and tell the story. Advantages • Experience with AI agents and AI agent security • Experience with: inline instrumentation, eBPF, CASB, Sandbox • Former cybersecurity founder/CTO • Public technical output: blog posts, conference talks, open source contributions, security research, or published papers

Description About Us Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Team The CTO Office is Zenity’s core discovery engine, dedicated to navigating the rapid evolution in AI agent security and “building the lighthouse.” We are a high-agency team of ICs with integrated Engineering, Research, and Product mindsets. Our mission: incubate new ideas, define the approach to emerging attack classes, and build working POCs that prove technical reality. Guided by the CTO, Product, and GTM, we validate hard, open problems and actively support the Product organization by opening new development paths and seamlessly handing over advanced capabilities through research, prototyping, and customer validation. What You’ll Do Responsibilities: • Take an ambiguous security challenge from "this might be possible" to a working POC that proves the Zenity approach, grounded in technical reality. • Research the customer need, cybersecurity gap, and technical feasibility behind an idea before and while you build. • Own the end-to-end execution loop: scope the problem, build the prototype, evaluate it, document the approach, and ship it. • Partner closely with Product, R&D, and GTM. Don’t just write about emerging problems. POC the solutions so customers see something real. • Make the calls on architecture, tooling, and tradeoffs, moving quickly from ambiguity to a tangible prototype. • When a POC succeeds, lead the transition to Engineering and Product so it can receive the resources required for productization. • Stay ahead of the rapid evolution in AI and proactively bring relevant insights into the team. Requirements Requirements • Technical execution. Substantial hands-on experience in Engineering or Security Research. You can investigate an unfamiliar problem, form a point of view, and build the solution to prove it works. • AI. Hands-on experience building with LLMs and AI agents. You understand how they work, where they fail, and how to reason about them. You are fluent with AI-assisted coding. • Cybersecurity. Strong understanding of attack paths and defensive controls. You can earn credibility with researchers and engineers alike through technical leadership. • Product mindset. You can hold “is this the right thing to build?” in tension with “is this technically feasible?” and decide both. You care about what pain a capability solves. • Agency. Comfortable starting from a blank page, working without a spec, and being the one who defines what “done” looks like. You move fast and tell the story. • Communication. You can explain your reasoning, present prototypes to technical and non-technical stakeholders, and document the work well enough for others to continue it. Advantages • Experience building or researching cybersecurity products • Experience with AI agents or AI agent security • Experience in an early-stage startup or zero-to-one environment • Previous leadership experience as a team lead or tech lead • Public technical output: blog posts, conference talks, open source contributions, or published papers

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. Position Overview: We are looking for a hands-on Senior Devops to drive the design, implementation, and evolution of our cloud infrastructure. You’ll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. You’ll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence. Responsibilities: • Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments. • Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents). • Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity. • Champion observability, reliability, and performance — establishing best practices around monitoring, alerting, and system health visibility. • Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems. • Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment. • Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations. Requirements • 6+ years of DevOps or Infrastructure Engineering experience in high-growth product environments. • Proven track record of leading or owning complex system deployments and cloud architectures end-to-end. • Expertise in cloud platforms (preferably AWS) with strong understanding of networking, security, and scalability best practices. • Proficiency in scripting and automation using Python and Bash. • Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent). • Deep familiarity with CI/CD systems (GitHub Actions, Gitlab, Jenkins or similar) and container orchestration (Kubernetes, ECS, or EKS). • Experience building observability stacks (Prometheus, Grafana, ELK, Datadog, etc.). • Excellent collaboration and communication skills — a positive, pragmatic team player who thrives in high-velocity, tradeoff-driven environments.

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role: We're looking for a Senior Software Engineer to join our engineering team and take real ownership of features that deliver value at enterprise scale. In this role, you'll build security solutions for GenAI and Copilots, design scalable Big Data pipelines using cutting-edge technologies, and be part of a team that thinks creatively about complex problems and delivers real technological innovation. This is a role for engineers who like to own things end-to-end from designing a solution to delivering value while working closely with the team through open discussions, design reviews, and code reviews. What You’ll Do Responsibilities: • Assume ownership of features and deliver value to customers • Design scalable Big Data pipelines using cutting-edge technologies • Deliver high-quality engineering applying common engineering principals • Work on building GenAI & Copilots security solutions • Think creatively about complex problems and deliver technological Innovation • Collaborate with others via open discussions, Design Reviews and Code Reviews Requirements Requirements: • Passionate team player with a minimum of 5 years of experience • Expertise with modern programming languages such as Python/C#/Java/Scala/Kotlin/TypeScript/JavaScript • Deep AI Coding capabilities, with an emphasis on staying up to date with the latest developments at all times • Experience writing code in Agile, CI/CD-based environments • Experience working in a high-growth startup environment • Advantage: Experience working with Big data technologies such as Kafka/Spark/OpenSearch • Advantage: Experience working with Big data formats such as Parquet/Avro/Delta Lake/Iceberg • Experience working on large-scale services based on AWS/Azure/GCP

Description About Zenity Zenity is the first security and governance platform purpose-built for AI agents — spanning SaaS, home-grown platforms, and end-user devices. Trusted by Fortune 500 enterprises, we help security teams confidently adopt AI by delivering defense-in-depth with full-lifecycle coverage: from agent discovery and posture management to real-time detection, prevention, and response. We recently closed a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and others, and we're scaling fast to meet surging enterprise demand for AI agent security. About the Role We're looking for a Director of Platform Engineering to lead our Platform group — a team responsible for both software engineering and the more traditional Platform/DevOps/infrastructure domains. This is a unique opportunity to shape the future structure and direction of the group as we scale, working closely with our engineering leadership to define how we build, operate, and secure the infrastructure behind our product. What You’ll Do Responsibilities: • Lead and grow a team spanning software engineering, Platform, DevOps, and infrastructure • Own the architecture and operational excellence of our cloud infrastructure (multi-cloud, Kubernetes, CI/CD) • Drive initiatives across BYOC (Bring Your Own Cloud) and other software-focused product capabilities • Partner closely with Product, R&D, and executive leadership to align technical direction with business priorities • Build and scale engineering processes, culture, and best practices as the team grows • Recruit, mentor, and develop engineering managers and senior ICs Requirements Requirements: • 5+ years of experience in engineering leadership, with direct management of both software engineering and Platform/DevOps/Infrastructure functions • 9+ years of overall experience in the field • Proven experience scaling technical teams in a high-growth startup environment • Deep hands-on background in cloud architecture (AWS/GCP/Azure), Kubernetes, and CI/CD at scale • Strong familiarity with modern AI concepts and practical experience applying AI to engineering workflows (e.g., agent orchestration, AI-driven developer tooling) • Excellent communication skills and experience partnering with cross-functional leadership • Experience in cybersecurity or a related regulated/enterprise domain is a strong plus Nice to Have • Experience with identity, data, or cloud security platforms • Background in building developer platforms or internal tooling • Experience operating in regulated/enterprise environments (e.g., FedRAMP, SOC2)

Description About Bizzabo Bizzabo is the Event Experience Operating System for modern enterprise organizations, and the intelligence behind every great event. Corporate event teams use Bizzabo to run complex event portfolios across in-person, virtual, webinar, and field events, unify their data, and prove the business impact of every event they run. We've powered more than 100,000 events for millions of attendees. We're a Leader in the Forrester Wave for B2B Event Management Technology and the only vendor in that evaluation named a Customer Favorite. Founded in 2011, we're headquartered in New York with offices in Montreal, Kyiv and Tel-Aviv. The category is changing fast. Event teams are being asked to run more programs with fewer people and prove revenue impact on every one of them, and AI is reshaping what an event platform should do. We're building for that future, and we need someone to tell that story. About the role You'll own how Bizzabo is understood: by buyers, by our sales team, by analysts, and by the AI agents our own teams now work with every day. This is a lead role with real scope. You'll own positioning, messaging, launches, competitive strategy, sales enablement, and analyst relations for the full Event Experience OS, including the agentic capabilities we're bringing to organizers, attendees, and sponsors. You'll sit at the intersection of Product, Sales, Account Management, and Marketing, and you'll report directly to our Co-founder and CMO. We're looking for a builder. You'll have strong partners across Brand, Demand Generation, and Enablement, but no layers between you and the work. If you want to shape a category, not maintain someone else's messaging deck, this is the role. You'll also get to work the way we work. Claude is part of everyone's day at Bizzabo. Our teams use Claude and Claude Cowork daily, with Skills built on our own messaging, product, and competitive knowledge, and you'll have the freedom to automate anything that slows you down. Requirements What you'll do • Own positioning and messaging for the Event Experience OS. Translate new agentic capabilities into clear, provable value for enterprise event leaders, and keep the story consistent from the website to the last call before signature. • Run launches end to end. Partner with Product on what we build and why, then own the go-to-market: narrative, pricing and packaging input, launch plan, field readiness, and customer communication. • Help us win competitive deals. Own competitive intelligence against legacy event management platforms and newer point solutions. Build battlecards, landmine questions, and objection handling that reps actually use, and run win/loss analysis to sharpen them. • Equip the field. Build the pitch narrative, demo storylines, one-pagers, and RFP content. Partner with Sales and Solutions leadership to train the team and make sure every new capability is sold, not just shipped. • Lead analyst relations day to day. Own our Forrester and Gartner relationships, evaluation submissions, and briefings, plus our presence on peer review sites like G2, TrustRadius, Capterra, and Gartner Peer Insights. • Turn customers into proof. Work with Account Management to build case studies, reference programs, and the metrics that make our claims specific. • Drive adoption. Partner with Account Management to get existing customers using what we ship, through release communications, programs, and content for executive business reviews. • Own the context layer. Our messaging, product, and competitive knowledge powers the Claude Skills our teams use to write, sell, and support. You'll keep that source of truth current and use AI to automate your own GTM workflows. What success looks like In your first 90 days: • You've listened to dozens of sales calls, interviewed customers and lost prospects, and can explain in plain words why we win and why we lose. • You've refreshed our core competitive materials and the field is using them in live deals. • You've taken ownership of our next analyst evaluation and our peer review strategy. • You've shipped your first launch end to end. In your first year: • Our competitive win rate is measurably higher, and you can show which of your work moved it. • Every major release goes to market with a clear story, trained reps, and customer adoption plans. • Our analyst and peer review position reflects where the product actually is. • The messaging that powers our people and our AI agents is sharp, current, and trusted across the company. What you need • 5+ years of product marketing in B2B SaaS selling to mid-market and enterprise buyers, including time as the lead or sole product marketer. • An AI-native way of working. You've used AI agents, ideally Claude, to automate real GTM workflows, and you can show us what you built. • A track record of positioning complex platforms for both business and technical buyers, and of winning against an entrenched incumbent. • Strong sales enablement instincts. You build narratives and assets that get used in the field, and you know how to check that they do. • Hands-on experience with analyst relations, ideally including a Forrester Wave or Gartner Magic Quadrant evaluation. • Excellent writing. You make complicated things simple without making them generic. • Comfort building without a big team around you: you set your own priorities, move fast, and ship. Nice to have • Hands-on experience with Claude Cowork, Claude Skills, or similar agentic tools in your day-to-day work. • Experience in event technology, martech, or another platform sold to marketing teams. • Experience marketing agentic or AI-first products to enterprise buyers. • Experience with a three-sided value story (in our case, organizers, attendees, and sponsors). • Fluency with Salesforce, HubSpot, and Gong, and comfort pulling your own data from them.

Description About Bizzabo Bizzabo's Event Experience Operating System is a modern, intuitive platform used by the world's leading organizations to deliver immersive experiences and events at scale. Named a Leader in the Gartner® Magic Quadrant™ and Forrester Wave™ for event technology, Bizzabo is recognized by Newsweek as a 2024 Global Most Loved Workplace. Bizzabo was founded in 2011 and is headquartered in New York and Tel Aviv. We are looking for a hands-on, data-driven professional to join our Finance team in Israel. The Role We're looking for a hands-on FP&A Manager with strong finance fundamentals, strategic thinking, and an AI-builder mindset to help drive our growth through budgeting, forecasting, modeling, and KPI development - someone who doesn't just report the numbers but recommends the “call to action” behind them. This is an individual contributor role with full ownership of the FP&A domain, requiring hands-on execution from A to Z. Reporting directly to the CFO, you will own our budgeting, forecasting, and modeling tools, increasingly powered by AI and automation, from AI-assisted forecasting to automated board reporting, and help shape business strategy through better decision-making, performance measurement, and long-term planning. This is a unique opportunity for a hands-on, accountable professional with strong finance/accounting fundamentals and a genuine appetite to grow with the business. Requirements What you'll be doing • Oversee and continuously improve our Budgeting, Financial Forecasting, Operating Plan, and Modeling tools and processes. • Design, build, and maintain AI-powered workflows (Claude) for recurring FP&A deliverables, including board reporting, analysis, KPI dashboards, commission calculations, and other recurring processes, turning manual work into reusable, auditable automations. • Own and evolve our SaaS metrics engine, iterating on frameworks for ARR, NRR, CAC, LTV, and churn to deliver precise unit economics and performance analysis. • Deliver financial forecasting alongside insightful performance reporting and analysis, engaging stakeholders across the company. • Prepare Board of Directors presentations and monthly/quarterly reporting packages for leadership and investors, partnering closely with Finance and Revenue & Business Operations • Take part in the monthly, quarterly, and yearly closing process - provisions, analysis, quarterly reports, audits, and presentations. • Own quarterly calculations of sales commissions, MBOs, partner commissions, and other third-party payments. • Build and maintain revenue forecast models and business plans, and continuously improve how we think about key revenue drivers, spending leverage, and other operational metrics. • Take full ownership of ad-hoc financial projects and ROI analyses from start to finish, in a fast-paced environment with shifting priorities. Who you are • 5-7 years of relevant FP&A experience from a software/SaaS company • Bachelor's degree in Economics, Industrial Engineering, Accounting, or Business Administration (MBA/CPA is an advantage) • Experience owning FP&A independently, ideally with end-to-end responsibility for the function. • Deep expertise in SaaS metrics (ARR, NRR, Churn, CAC, LTV) to evaluate and drive business performance • Strong analytical skills - data mining, slice & dice data, spotting trends, and drawing conclusions for managerial-level discussions • Advanced Excel and PowerPoint skills • Hands-on experience with CRM/ERP systems and databases is required, including Salesforce reporting. NetSuite experience is strongly preferred. • Proven builder with AI tools (Claude strongly preferred), comfortable designing prompts, structured workflows, and lightweight automation. Experience building or maintaining AI-assisted reporting/analysis pipelines is a strong plus. • Familiarity with BI tools such as Looker is preferred. • High level of English proficiency (written and spoken) • Self-starter with a high level of independence, ownership, and accountability. • Fast learner who can quickly adapt to new tools, processes, and business needs. • Excellent interpersonal and collaboration skills with a strong team-first mindset. • Strong organizational and time-management skills, with a proven ability to prioritize and deliver high-quality work under tight deadlines. • Curious, proactive mindset toward exploring and adopting new AI and automation tools, pushing their use beyond the basics to find more efficient ways of working.

Description About Scytale Scytale is a global leader, an AI-powered company transforming how organizations achieve and maintain trust and compliance. Our platform automates frameworks such as SOC 2, ISO 27001, SOX ITGC, GDPR, PCI DSS, and 45+ more frameworks, making compliance smarter, faster, and continuously audit-ready. Built for startups, scale-ups, and enterprises, Scytale combines intelligent automation, real-time monitoring, and AI-driven insights to reduce manual work and eliminate compliance blind spots. Recognized as a G2 Leader in GRC and an AWS Rising Star Partner of the Year, Scytale is trusted by hundreds of companies worldwide and known for its technology and partnership-driven approach. Role Overview We’re looking for a highly motivated and curious Product Manager to join our TLV team and help shape the future of our product. In this role, you’ll work closely with engineering, design, and cross-functional stakeholders to build and launch features that deliver real value to our customers. This is a hands-on, growth-oriented role where you’ll take ownership of defined product areas and gain exposure across the full product development lifecycle in a fast-growing B2B SaaS environment. Requirements What You Bring • 4-5 years of experience as a Product Manager in a B2B SaaS environment. • Proven ability to translate ambiguous problems into clear strategy and prioritized execution. • Strong written and verbal communication skills, with the ability to influence stakeholders and align cross-functional teams around a product vision. • A passion for technology, UX, and solving user problems through great software. • Experience working with AI-powered products or features - Advantage. • A curious, proactive mindset with the ability to learn fast and adapt in a dynamic startup environment. • Strong organizational skills and the ability to manage multiple projects and priorities simultaneously in a fast-paced environment. • Experience with web-based products in the cybersecurity, compliance, or risk management space - advantage. Responsibilities What You’ll Do • Own the Core product area end to end - strategy, roadmap and execution. • Translate customer needs and business goals into a clear features and prioritized roadmap. • Work closely with engineers and designers to define product requirements, write user stories and drive delivery of high-impact features. • Lead the product backlog, balancing strategic bets against near-term delivery and customer commitments. • Participate in agile ceremonies including sprint planning, grooming, retrospectives, and stand-ups. • Own the full release lifecycle, coordinating closely with design, engineering, CS, marketing, and sales. • Collaborate with internal stakeholders to uncover customer pain points and identify product opportunities. • Shape an intuitive, high-impact user experience in close partnership with design. • Develop domain knowledge in information security compliance frameworks (SOC 2, ISO 27001, GDPR, and more). • Track product KPIs, monitor success metrics, and support feature adoption and go-to-market efforts. Benefits Why Join Scytale? • Innovative Work: Be part of a cutting-edge platform redefining cybersecurity compliance. • Growth & Learning: Access courses, mentorship, and hands-on experience to grow your career. • Team Culture: Join a collaborative, driven, and supportive team. • Hybrid Flexibility: Enjoy the benefits of a hybrid working environment. • Global Impact: Contribute to a platform used by thousands of organizations worldwide. Ready to innovate and grow with us? Join Scytale and help transform cybersecurity compliance for companies worldwide!

Description About Us: Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered across a company's systems, then act on it across the case lifecycle: automating what we can, escalating to a human expert when it matters. Built on 100+ deep integrations, the platform runs products already live in production, including Self-Service, Knowledge, Triage, Assist, Intelligence, Alerting, and QA, all sharing one foundation so they ship fast and improve as the platform grows. That shared foundation makes this an exciting, unusual place to build. Each product we launch would have been an entire company in the pre-AI era; for us, it's a focused product on common infrastructure, so each deployment builds on the last. Our no-code Agent Builder lets teams design and deploy agents with governance and traceability, while our Customer Context Model routes recurring issues and account risk to the teams that can fix them. Every deployment lowers our customers' cost to serve. We're hiring engineers and product leaders who want to build systems that get more capable the more they run. What you’re applying for: We are looking for a passionate VP of Engineering to help build our breakthrough AI product. As a VP of Engineering at Mosaic- AI, you will steer the development of our cutting-edge AI Sidekick and MosAIc technologies. In this pivotal role, your primary responsibility is to lead, guide, and mentor a team of talented software developers. You will be actively involved in planning, designing, and executing multiple software development projects while utilizing your extensive knowledge of software development to provide technical guidance and support to your team. What are we looking for: • Strong Technical and Management Background • Expertise in Key Technologies: • Architecture savvy- A must • Proficiency in Python, with a solid understanding of software development best practices in this language- an advantage • Knowledge and hands-on experience with JavaScript, Typescript, and React/Angular- An advantage • Knowledge in Docker, micro-service architecture, FastAPI, Express, and Terraform- An advantage Requirements • Minimum of 10 years of experience as a software engineer, with a proven track record in large-scale, production-grade software development projects. • At least 4 years in a management or group leadership role, ideally overseeing high-output teams. • A degree in Computer Science, Engineering, or a related field from a reputable university- An advantage • Leadership and Interpersonal Skills: • Strong communication and leadership skills, capable of effectively motivating and managing software development teams. • Experience in leading leaders- An advantage. • Excellent interpersonal skills and a team-oriented mindset.

Description About Us Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered across a company’s systems, then act on it across the case lifecycle: automating what we can, escalating to a human expert when it matters. Built on 100+ deep integrations, the platform runs products already live in production, including Self-Service, Knowledge, Triage, Assist, Intelligence, Alerting, and QA, all sharing one foundation so they ship fast and improve as the platform grows. That shared foundation makes this an exciting, unusual place to build. Each product we launch would have been an entire company in the pre-AI era; for us, it’s a focused product on common infrastructure, so each deployment builds on the last. Our no-code Agent Builder lets teams design and deploy agents with governance and traceability, while our Customer Context Model routes recurring issues and account risk to the teams that can fix them. Every deployment lowers our customers’ cost to serve. We’re hiring engineers and product leaders who want to build systems that get more capable the more they run. About the Role Mosaic builds the AI platform that technical support teams run on. Our agents, retrieval, and reasoning sit at the core of how customer-facing teams answer questions, resolve cases, and surface insights. The depth and reliability of that AI is the product. You’ll start with an active research roadmap,, from self-improving evaluation infrastructure to agentic RAG to multimodality. You’ll work with a small team of researchers who are already in place. We’re looking for a hands-on researcher who will do much of this work directly, lead the team day to day, and grow into a bigger leadership role as the team expands. Expect most of your week to go to research and building. What you’ll do • Work hands-on across the AI/ML core of the Mosaic platform (retrieval, agents, model routing, and evals) and own the research that improves it. • Shape the research agenda with the VP of Product and engineering, including what we investigate, how we measure it, and what goes into the product. • Lead a small research team day to day, set goals with each researcher, and help hire as the team grows. • Work inside the product team and with engineering to turn research into features customers use. • Define the quality bar for our AI outputs and make it measurable. Requirements What you bring • MSc or PhD in Machine Learning, NLP, Computer Science, or a closely related field. This is a hard requirement. • 6+ years of hands-on industry experience building production AI/ML systems. • Real production experience with AI agents: designed, built, evaluated, and improved them. Not just experimented. • Prior experience managing researchers or ML engineers. • Independent research mindset: a point of view on what to bet on next, and the judgment to defend it. • Track record of shipping research into product, not only papers or prototypes. • Comfortable partnering deeply with engineering and product. • You still enjoy writing code and running experiments yourself, and you want that to stay a big part of your job. Nice to have • Experience with enterprise B2B SaaS or applied research in industry (not only academic). • Public contributions (papers, talks, open-source, technical writing) that show the way you think. • Experience with RAG systems, evaluation infrastructure, or multi-agent orchestration at scale. Logistics Tel Aviv (Midtown), hybrid: Mon/Tue/Thu in-office.

Description About Us & Our Product Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered across a company's systems, then act on it across the case lifecycle: automating what we can, escalating to a human expert when it matters. Built on 100+ deep integrations, the platform runs products already live in production, including Self-Service, Knowledge, Triage, Assist, Intelligence, Alerting, and QA, all sharing one foundation so they ship fast and improve as the platform grows. That shared foundation makes this an exciting, unusual place to build. Each product we launch would have been an entire company in the pre-AI era; for us, it's a focused product on common infrastructure, so each deployment builds on the last. Our no-code Agent Builder lets teams design and deploy agents with governance and traceability, while our Customer Context Model routes recurring issues and account risk to the teams that can fix them. Every deployment lowers our customers' cost to serve. We’re hiring people who want to build systems that get more capable the more they run. The Role We are looking for a hands-on, strategic Head of Finance & Operations to build and own the company’s finance function and the operations around it: compliance, internal tooling and company processes. This role combines execution with leadership, from day-to-day financial operations to strategic planning, board work and partnering with the CEO. The ideal candidate is self-driven, analytical and business-oriented, with a track record of growing quickly in finance leadership and the energy to keep building at a startup. You’ll take an AI-first approach, rethinking how finance and operations work as the tools change. Responsibilities • Own all financial operations: budgeting, forecasting, cash management, and reporting. • Lead financial planning and analysis (FP&A), including building and maintaining financial models. • Act as a thought partner to the CEO, supporting decisions with clear, data-driven insights. • Prepare board and investor reporting, present to the board, and partner with the CEO on fundraising. • Own financial controls and compliance programs, including SOC 2, ISO, HIPAA and audits. • Work closely with leadership across the company to align financial strategy with business goals. • Drive pricing and business-model analysis with leadership. • Own internal software and tooling, and redesign company processes where they slow us down. • Proactively identify cost savings, from vendor spend to AI and infrastructure costs. • This is a lean function: you’ll lead it with our Operations Manager as your direct report and an outsourced accounting firm behind you, with room to grow the team as the company scales. Requirements • Strong financial and strategic thinking; ability to connect numbers to business outcomes. • Executive presence and excellent written and spoken English. Much of our company and board communication is in English. • Experience in high‑growth startups or similar dynamic environments. • Strong finance and accounting foundation. CPA is an advantage. • Board or executive-level reporting experience. • Experience with SOC 2, ISO, HIPAA or similar compliance programs, and with owning internal systems or tools. • AI-first: comfortable using AI to rethink processes and tooling. What We Value • High intellectual sharpness and fast learning. • Ownership mindset and accountability. • Ability to simplify complex problems and drive decisions. • Strong cultural fit: low ego, direct communication, and high standards. We are based in Midtown TLV, working in a hybrid mode.

About Spacial: At Spacial, we’re redefining how the built world gets designed, engineered, and approved. With decades of combined experience across architecture, engineering, and construction, we’ve felt the industry’s pain points firsthand — slow approvals, endless redlines, and unclear requirements that derail even the best designs. We built Spacial to fix that. Our AI-powered platform automates structural and MEP engineering, transforming 2D plans into permit-ready, code-compliant drawings in days, not months. This isn’t just optimization. It’s a new standard built to give the AEC industry speed, clarity, and control from day one. By connecting architects, engineers, builders, and homeowners on a single platform, Spacial eliminates friction, streamlines approvals, and accelerates how ideas become reality. About the Role: We are seeking a highly innovative AI Researcher to conduct fundamental and applied research, pioneering the next generation of Generative AI solutions. This role is focused on the theoretical and practical advancement of Large Language Models (LLMs), agent-based architectures, and novel algorithms to create transformative solutions for the construction and design industry. You will be responsible for conducting rigorous experimentation, contributing to the research roadmap, and translating groundbreaking research insights into real-world applications. Responsibilities: • Conduct research, design, and implement novel Generative AI systems using LLMs, vision-language models, and advanced agentic frameworks (e.g., LangChain, LlamaIndex). • Develop and optimize cutting-edge algorithms and methodologies for LLM fine-tuning, retrieval-augmented generation (RAG) optimization, and advanced context engineering. • Perform rigorous experimentation and evaluation of novel GenAI-powered solutions to push the boundaries of model efficiency, performance, and robustness. • Collaborate closely with engineering teams to guide the technical translation of research prototypes into production-grade, high-impact AI products. • Contribute to the long-term AI research direction for the company, staying at the forefront of emerging techniques and academic breakthroughs. • Develop and implement computer vision algorithms that significantly enhance the performance and functionality of our product. Qualifications: • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field (Mathematics, Physics, Electrical Engineering, Computational Biology, etc.). • Minimum of 5+ years of combined experience in AI/ML research and development, with a deep focus on Generative AI, LLMs, and Deep Learning. Required Skills: • A strong, demonstrable track record of research impact, including a history of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ACL) or significant open-source contributions/patents in AI/ML. • Expertise in the theory and practical application of LLM fine-tuning, advanced RAG architectures, and complex agentic systems. • Exceptional proficiency in Python and deep expertise with major ML/Deep Learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers). • Strong foundation in software engineering and algorithm development, with experience working with large datasets. • Exceptional problem-solving, creative thinking, and analytical skills. Preferred Skills: • Experience with multimodal AI (vision-language models, diffusion models). • Familiarity with the challenges and real-time considerations for managing AI workloads in a production environment. • Knowledge of parallel computing and optimization techniques for large-scale model training and inference. Why Join Us? Opportunity to define and shape the future of AI-powered solutions at the critical intersection of fundamental research and real-world product impact. Work directly on cutting-edge GenAI technologies with the potential for a significant global impact in the construction and design industry. A collaborative, innovative startup environment with direct access to experienced founders. Flexible hybrid work arrangement. If you are a pioneering researcher passionate about pushing the theoretical and practical boundaries of Generative AI, we would love to hear from you.