Zenity

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 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: 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: 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. 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 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. 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 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 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 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 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 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 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.