Jobs in Tel Aviv-Yafo

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 Tech Lead Engineer to drive the technical strategy for Zenity's cross-platform endpoint agent — built in C#/.NET and hardened for production across macOS, Windows, and Linux. You'll own features end to end across a managed fleet of enterprise devices, stay hands-on writing code, and raise the technical bar for a distributed engineering team. This role also means setting the standard for how the team uses AI coding agents responsibly — fast, but production-grade. What You’ll Do Responsibilities: • Drive the technical strategy for Zenity's cross-platform endpoint agent, focusing on C#/.NET core logic while ensuring production readiness across macOS, Windows, and Linux. • Provide technical leadership to a distributed team of engineers, raising technical expertise and engineering practices across the organization. • Own features from discovery to delivery, solving complex domain problems across a managed fleet of enterprise devices. • Maintain a hands-on approach by writing code and mentoring engineers to elevate the organization's technical capabilities. • Architect the agent using C# and platform-specific extensions, ensuring performant integration with each operating system's security frameworks. • Own high-impact technical decisions that balance velocity, security, and reliability. • Deliver maintainable features supported by comprehensive testing, metrics, and monitoring. • Shape the agent roadmap and ensure resilient production systems in collaboration with cross-functional leadership. • Participate in design and code reviews to maintain high engineering standards. • Champion AI-assisted engineering across the team - set the bar for how coding agents accelerate delivery, and establish the practices and guardrails that keep output production-grade. Requirements Requirements: • 8+ years building device agent software at enterprise scale, with a track record of leading complex technical initiatives end-to-end and mentoring engineers. • Deep expertise in endpoint agent development (EDR/XDR), OS internals, and security distribution (code signing, notarization/equivalent, MDM deployment), including reverse engineering and platform-specific facilities (eBPF on Linux; WFP, minifilters, kernel drivers on Windows). • High proficiency in C#/.NET (including P/Invoke); native systems languages (Swift, C/C++) are a strong plus for platform-specific extensions, as is PowerShell, shell scripting, or Python. • Experience delivering in Agile, CI/CD environments; large-scale cloud services experience is a plus. • Strong collaboration, pragmatism, and problem-solving in high-velocity, fast-changing settings. • Practical experience using AI coding agents/assistants (e.g. Claude Code, Cursor, Copilot), with good judgment on when to delegate vs. go deep, and full ownership of reviewing and verifying AI-generated code for correctness, security, and performance.

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: Zenity’s AI Red Team plays a central role in the company’s operations. Powering the research behind Zenity Labs, positioning the company as a security thought leader, and speaking at top tier conferences. We’re looking for a highly skilled Junior Offensive Security Researcher to find new attack vectors, from initial exploitation to impact in the emerging world of Agentic AI, LLMs, and their surrounding ecosystem. This role is ideal for researchers who are passionate about breaking new ground in the growing world of AI and impacting the future landscape of Zenity products. What You’ll Do Responsibilities: • Research emerging agentic technologies and uncover new exploits, attack vectors and risks. From initial exploitation to impact. • Build tooling, harnesses, and test frameworks to scale attack discovery and make research repeatable. And contribute to internal red team infrastructure. • Investigate the surrounding ecosystem, not just the model. This includes: plugins, connectors, MCP servers, orchestration frameworks, and different types of infrastructure. Mapping how weaknesses in one component can develop into full compromise. • Work with product and engineering to translate offensive findings into new defense capabilities. Requirements Requirements: • Prior Red Team or Vulnerability Research experience • Strong coding and scripting skills in languages such as Python, JavaScript and bash • Solid Cloud and Appsec experience • Prior understanding and experience with AI related vulnerabilities. Including: direct and indirect prompt injections, jailbreaks and AI related reconnaissance. • Curiosity, creativity, and a self-driven approach to research. • Most importantly: the ability to learn quickly and adapt in a fast paced environment.

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 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 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 Role: We're looking for a Senior Applied AI Scientist to sit at the frontier of AI security - turning emerging threats into the detection models that protect how AI is used inside the world's largest organizations. You'll be part of the AI Security Research department, working hand-in-hand with security researchers to translate threat intelligence into trainable signals that catch malicious behavior and security risks across the AI-powered workflows of Fortune 500 companies. You'll bring deep technical versatility - reaching for classical ML, deep learning, or agentic based approaches based on what the problem demands, and the evaluation rigor to know when a model is truly ready for the real world. If you want to define what AI security engineering looks like, not just practice it, this role is for you. What You’ll Do Responsibilities: • Build, train, and ship detection models end-to-end, from raw data to production • Choose the right method for each problem - traditional ML, deep learning, fine-tuned LLMs, agents or heuristics - based on theoretical insights turned into practical results. • Partner with security researchers to turn security research outputs and domain expertise into detection capabilities • Own evaluation: design benchmarks, build labeled datasets, and define production standards • Monitor models in production across all paradigms - ML, deep learning, LLM-based, and agentic systems to track degradation and ensure reliability • Iterate fast, with a tight feedback loop between model performance and product outcomes Requirements Requirements: • 5 years of hands-on ML and deep learning experience, with a track record of shipping, debugging, and diagnosing models in production • Data-first mindset: you know how to define the right evaluation criteria for each model - before and after shipping, to ensure it delivers real quality and value in production • Hands-on experience building and deploying agentic AI systems to production • Proficiency in Python; experience with PyTorch, scikit-learn, HuggingFace, or equivalent • Practical, applied mindset - focused on the problem, success metrics and impact, not lab research. • • Background in security, trust & safety, or content moderation - an advantage

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: This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. You’ll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response. The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation. What You’ll Do Responsibilities: • Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics. • Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines. • Publish and share: produce Zenity Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty. • Build tools: Several open source libraries exist (like Anthropic’s attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments. Requirements Requirements: • Deep learning expertise with a track record of non‑trivial research (industry or academia) in LLMs or other domains (e.g., CV, speech). We care that you’ve changed models or methods in meaningful ways (architecture/training/eval), not just used them. • Strong experimental design and scientific writing; comfort pre‑registering hypotheses, testing causal claims, proposing novel directions in a fast-changing field. • PhD or equivalent research experience in the industry (5+ years in a leading research team). Publication record or a portfolio of high‑impact open artifacts will make you stand out from the crowd. • Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch); Experience with a production grade codebase with several contributors is a bonus. • Experience in data analysis: visualization, exploration, cleanup. • Knowledge in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems - a bonus.

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)

Your Story: You'll be joining a core team at EX.CO to lead the charge with our customers and get to work closely with all stakeholders at the company. This position is based in our TLV office. Acting as the liaison between your publishers and EX.CO's Product, RevOps, and Tech teams to meet publisher KPIs, revenue goals, and evangelize EX.CO's video platform. Delivering best-in-class services to your publishers by bringing them strategic vision, training and planning sessions, and ensuring continuous growth through the different customer journey stages. You will be the face of EX.CO for your publishers and their biggest advocates to Product & Revenue teams. Keeping up with industry trends and updates to effectively educate and smoothly navigate your customers through the changes. Who we are: EX.CO is the video technology fueling growth for media leaders worldwide. Since we launched, our mission has been to shape the future of media technology, powering publishers' business success in a rapidly changing reality. Today, we partner with leading media companies—including USA Today, Hearst Newspapers, Motorsport Network, The Arena Group (Parade, The Street), and Ziff Davis (Mashable) —to maximize revenue across every screen: web, mobile apps, CTV, and DOOH. Our technology combines an online video platform with a machine learning-based yield engine, giving media owners the control, scale, and transparency they need to thrive. What drives us is simple: we're stronger together, always evolving, and radically transparent. Collaboration fuels our best work, innovation keeps us ahead, and honesty builds lasting trust with our colleagues, partners, and customers. We are proudly backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and others. Now we're growing our team—and that's where you come in. We're building a place where talented people make an impact, ideas spark change, and everyone has a seat at the table. What You'll Do: Lead strategic relationships with a portfolio of global Online Video and Connected TV (CTV) publisher accounts, building trusted executive relationships and guiding customers through every stage of the customer lifecycle to maximize retention, growth, and long-term success. Manage a global book of business across multiple regions and time zones, ensuring proactive communication, timely execution, and a consistent, high-quality customer experience. Partner cross-functionally with Business Development, Ad Operations, Product, Engineering, and other key stakeholders to deliver seamless customer onboarding, accelerate product adoption, and drive ongoing business growth. Identify expansion and upsell opportunities by leveraging customer performance data, market trends, and new product capabilities to increase account value and support revenue growth. Lead strategic business planning sessions, define customer success objectives, and deliver executive-level Quarterly Business Reviews (QBRs) that communicate business outcomes, performance insights, and growth opportunities. Act as the voice of the customer by advocating for publisher priorities internally, influencing product enhancements, and providing executive leadership with regular updates on customer health, risks, opportunities, and strategic initiatives. Demonstrate deep technical and industry expertise by leveraging self-service platforms, navigating complex advertising technology ecosystems, and applying programmatic advertising knowledge to resolve customer challenges and optimize business outcomes. What We're Looking For: 4+ years of customer-facing experience (Customer Success, Client Services, Account Manager, Program Manager). 3+ years of experience at an Ad-Tech company or publisher. Customer-centric approach to managing and growing customer relationships. Entrepreneurial spirit, eager to learn and diligent contributor. Stellar organizational, writing, listening, and presentation skills. Sense of ownership skills, time management, project management, and prioritization. Ability to be analytical, resourceful and tech-interested to see problems to resolution. It will be awesome if you have: Experience using tools such as Tableau and CRM tools (Zendesk, Salesforce, Monday). Familiarity with SSPs, OVPs, DSPs. Served as consultant to media or video companies. Sales background having led upsell opportunities. Previously worked as a Program or Project Manager directly with customers.

About EX.CO EX.CO is the video technology fueling growth for media leaders worldwide. Since we launched, our mission has been to shape the future of media technology, powering media owners' business success in a rapidly changing reality across web, mobile, CTV and DOOH. Today, we partner with leading companies, including USA Today, People Inc., Hearst Newspapers, Motorsport Network, and Ziff Davis (Mashable). Our machine learning engine uses billions of predictions to grow video ad revenue, giving media owners the control, scale, and transparency they need to thrive. What drives us is simple: we're stronger together, always evolving, and radically transparent. Collaboration fuels our best work, innovation keeps us ahead, and honesty builds lasting trust with our colleagues, partners, and customers. We are proudly backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and others. Now we're growing our team—and that's where you come in. We're building a place where talented people make an impact, ideas spark change, and everyone has a seat at the table. The Role We're looking for a VP Marketing to lead EX.CO's brand, creative and market presence. You'll own marketing strategy and execution across brand identity, content and video, social channels, PR and communications, events and growth. You'll work hand in hand with our Go To Market and Business teams, helping crystallize our messaging, refine our visual language, take our identity into new areas of the media world, and drive new business opportunities. You'll also partner closely with Product and the executive team, and stay hands-on. What You and Your Team Will Do Build and own the marketing strategy across our different offerings and audiences, create annual and quarterly plans according to budget Lead our fierce and excellent marketing team and external consultants Help refine our brand identity, messaging and visual guidelines across all touchpoints Drive growth campaigns and demand generation tied to pipeline - including media buying strategy, campaigns and creatives Own our external facing communications and channels, PR & media relations strategy Lead content and video production, including thought leadership Plan and run EX.CO's presence at key industry events Support our internal communications efforts What We're Looking For 10+ years in B2B tech marketing, 4+ in senior leadership. AdTech or media experience is a strong plus A track record of leading campaigns, growth and content at a senior level Strong in both brand and performance, with a clear link to revenue A good visual eye and experience managing creative and PR external resources A collaborative style and experience working alongside GTM, Sales and Product leaders Native-level English Strategic and hands-on

Who we are: EX.CO is the video technology fueling growth for media leaders worldwide. Since we launched, our mission has been to shape the future of media technology, powering publishers' business success in a rapidly changing reality. Today, we partner with leading media companies - including USA Today, Hearst Newspapers, Motorsport Network, The Arena Group, and Ziff Davis - to maximize revenue across every screen: web, mobile, CTV, and DOOH. Our technology combines an online video platform with a machine learning-based yield engine, giving media owners the control, scale, and transparency they need to thrive. What drives us is simple: we're stronger together, always evolving, and radically transparent. Collaboration fuels our best work, innovation keeps us ahead, and honesty builds lasting trust with our colleagues, partners, and customers. We are proudly backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and others. Now we're growing our team—and that's where you come in. We're building a place where talented people make an impact, ideas spark change, and everyone has a seat at the table. What You Will Do: We are looking for a sharp, hands-on team leader to head the Demand team within our Israel Operations department. As Head Of Demand, you will directly manage a focused team of demand specialists, drive day-to-day execution, and serve as the operational and strategic anchor for everything demand-related - while working closely with broader Operations leadership. This is a team lead role within a larger department - you will be both a player and a coach, equally comfortable diving into the data and developing the people around you. Core Responsibilities Team Leadership & People Development Oversee the team's management of key demand partner relationships, ensuring KPIs are met and growth opportunities are captured Collaborate closely with teams across Operations, Sales, Product, R&D, and Analytics Stay on top of industry trends and bring relevant insights back to the team and department leadership Directly manage and mentor the Demand team, setting clear priorities, workstreams, and performance expectations Run daily operations smoothly, balancing immediate deliverables with longer-term team development Provide ongoing coaching and feedback to support each team member's professional growth; foster a team culture built on ownership, curiosity, and results Operational Excellence & Process Building Design, implement, and continuously improve team processes and workflows - building the operational infrastructure that enables the team to perform consistently and efficiently in a high-volume, fast-paced environment Establish clear standards and routines for task management, prioritization, and escalation, so the team can move quickly without sacrificing quality or visibility Cross-Functional Leadership & Stakeholder Management Lead and influence without direct authority - drive alignment and execution across cross-functional teams and stakeholders outside your direct management, using strong interpersonal skills, credibility, and clear communication Navigate a matrixed organization - work effectively with multiple managers and department heads, managing competing priorities, aligning on shared goals, and ensuring the Demand team's work is connected to broader business objectives Serve as the demand domain representative in cross-departmental forums, translating team-level insights into organizational decisions Build and maintain trust-based relationships with key internal stakeholders - proactively aligning with leadership across departments to remove blockers, surface opportunities, and keep projects moving What We're Looking For 4+ years of experience in Demand, Growth, or Digital Marketing Operations, with 2-3 years of team lead or management experience Strong domain knowledge in AdTech, Video Advertising, or Mobile/Gaming Monetization Solid analytical skills - comfortable in the data and able to guide the team toward actionable conclusions A natural team lead: someone who takes ownership, communicates clearly, and brings out the best in the people around them Demonstrated ability to build operational processes and drive outcomes in fast-paced environments Proven ability to influence and align stakeholders without formal authority Strong written and verbal English communication skills Proactive and adaptable - you know how to keep a team focused, motivated, and moving forward

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 Ask-AI is expanding its Research Team and is looking for MSc or PhD students to join us as part-time research students. This is a unique opportunity to work closely with Ask-AI’s research scientists on cutting-edge problems at the intersection of NLP and agentic AI systems. About Ask-AI Ask-AI brings B2B GTM teams into the AI era by layering an agent-first architecture on a real Customer Context Model- enriching every interaction with accurate reasoning, signal extraction, and proactive insight. Built on more than 100 deep integrations, our platform ships five core products- Knowledge, Assist, Intelligence, Alerting, and Self-Serve- all running on shared infrastructure. Each new product we launch would have been a standalone company in the pre-AI era; for us, it’s a focused product built on a common foundation, enabling rapid, reliable releases and compounding leverage. Our no-code Agent Builder allows teams to design and deploy agents (models, tools, triggers, actions) with governance and traceability, while the context layer powers sentiment analysis, trend detection, risk identification, and real-time alerts- modernizing customer experience end-to-end without disrupting existing workflows. About the Role As a research student at Ask-AI, you will work on one of the team’s core challenges in modern LLM-based systems, such as: • Agentic RAG • Advanced retrieval strategies, hybrid search, query rewriting, context optimization, and LLM-driven reasoning pipelines • Automatic Evaluation of Agents • LLM-as-a-Judge, scoring frameworks, hallucination detection, and robust evaluation methodologies • Agents for Knowledge Creation • Building agents that autonomously generate, refine, and maintain enterprise knowledge bases • Ontology-Grounded RAG • Enhancing models with domain-specific knowledge and structured representations • Data Analysis Agents • Agents capable of analyzing complex operational, product, and support data at scale • Fine-tuning LLMs for customer domain adaptation • Automatic agent improvement from user feedback including learning from errors, evaluations, and human signals You will work one day per week, embedded directly in the Ask-AI research group, collaborating closely with senior researchers and engineers. What You’ll Gain • Hands-on experience building real-world research systems at scale • Close mentorship from Ask-AI’s research scientists • Opportunity to publish research based on project contributions • Experience working with state-of-the-art LLMs, retrieval engines, and agentic systems Requirements Who We’re Looking For We are seeking MSc or PhD students who have: • Strong understanding of NLP, LLMs, and/or Information Retrieval • At least one accepted paper in a reputable AI / NLP / ML conference or workshop • (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, or similar) • Excellent communication and technical writing skills (including for potential publication) • Availability to commit one full day per week during the semester