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As an IT Specialist
, youll play a key role in keeping our growing team productive, secure, and connected. Youll own day-to-day employee IT support, manage onboarding and offboarding, administer core identity and endpoint systems, and help maintain the infrastructure behind our Tel Aviv office. This is a hands-on role for someone who enjoys solving problems independently, working closely with employees, and improving IT operations as the company scales.


What Youll Do
Support Employees Day-to-Day: Serve as a primary point of contact for employee IT support, troubleshooting hardware, software, access, and connectivity issues.
Own Onboarding & Offboarding: Manage employee setup and departure end-to-end, including accounts, access permissions, devices, and equipment.
Administer Core IT Systems: Manage identity, access, endpoints, and SaaS platforms such as Okta, Kandji, 1Password, Google Workspace, and CrowdStrike.
Maintain Office IT Infrastructure: Support networking, conference rooms, Zoom Rooms, printers, workstations, and other office technology.
Improve IT Operations: Help streamline recurring processes and identify opportunities to use automation, scripting, and AI to make IT operations more efficient.

As a Senior Backend Engineer, you will play a critical role in building our Data & AI Lifecycle Security Platform. You will be a core developer, responsible for navigating our product and technical architecture, working with cutting-edge technologies like Go, Kubernetes,Temporal, and with different AI platforms. In our fast-moving startup environment, we value precision and focus on business goals, ensuring that every development decision is aligned with delivering impactful results quickly.

What Youll Do
Design, build, and operate scalable backend services using Go, Kubernetes, and Temporal
Collaborate with Product, Research, and Platform teams to translate business needs into technical solutions
Integrate with AI and LLM platforms, cloud providers, and data sources
Own architectural decisions while balancing speed, reliability, and long-term maintainability
Implement best practices for code quality, testing, observability, and production readiness
Debug and resolve complex production issues and improve system resilience

As our Founding Data Engineer, you will be the first dedicated Data Engineer at the company, with the opportunity to build our data engineering function from the ground up. You'll own the architecture and foundations of our internal data platform - the central warehouse, pipelines, and models every team relies on to understand how our product is performing, and provide tools for day to day operations. You'll define how data from across the company is collected, modeled, transformed, and governed, and establish the standards and best practices that will scale with us as we grow. Working closely with Engineering, Data Science, Delivery, Product, and Analytics teams, you'll turn data into reliable, structured assets that power product and business decisions.

What Youll Do
Build our Data Engineering Function: Be the first dedicated Data Engineer and will be required to be opinionated about the warehouse architecture, tooling, standards, and best practices for how we work with data across the company.
Develop Data Pipelines: Design, build, and maintain data pipelines that transform company data into structured, queryable assets.
Enable Data-Driven Decisions: Partner with Engineering, Data Science, Product and Analytics teams to deliver trusted data foundations and actionable insights.
Create BI Dashboards: Build and maintain dashboards and reporting layers that support product, and operational decision-making.
Ensure Data Quality and Accessibility: Implement best practices for data modeling, governance, monitoring, and reliability.

Were looking for a Senior Data Scientist to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.

In this role, you will design, build, and productionize advanced models that help organizations secure AI systems across data, models, and runtime usage. Youll work closely with Product, Engineering, and Security teams to turn complex, real-world security problems into scalable, high-impact AI solutions.

This is a high-impact, hands-on role with true ownership, where your work directly shapes the intelligence powering a category-defining AI Security platform.


What Youll Do:

Own End-to-End Model Development (Research → Production)

Take full ownership of the model lifecycle: problem definition, research, prototyping, training, evaluation, deployment, and ongoing optimization.

Design and build scalable ML / AI solutions to detect, analyze, and mitigate AI-related security risks.

Ensure models are robust, explainable, and production-ready in real-world enterprise environments.

Partner Deeply with Product & Engineering

Collaborate closely with Product Managers to translate customer pain points and security requirements into clear modeling objectives.

Work hands-on with engineering to integrate models into production systems and data pipelines.

Balance research depth with pragmatic execution and business impact.

Build AI Security Intelligence

Develop capabilities across areas such as AI behavior analysis, anomaly detection, model governance, data risk detection, and usage observability.

Work with structured and unstructured data, including logs, prompts, model outputs, and metadata.

Continuously iterate on models based on usage patterns, feedback, and emerging threat vectors.

Lead Research POCs & Innovation

Stay at the forefront of LLMs, applied ML, and AI security techniques and bring new ideas into the product.

As a Senior DevOps Engineer at Noma Security, youll play a critical role in scaling and evolving our infrastructure as we grow. Youll work alongside experienced engineers to drive automation, optimize cloud operations, and ensure our systems are secure, resilient, and high-performing. This role is perfect for a hands-on engineer who thrives in fast-paced environments and wants to shape infrastructure practices at a product-focused security startup.

What Youll Do
Own and Evolve Infrastructure: Design, deploy, and operate infrastructure on AWS using Kubernetes to orchestrate containerized services.
Build Tools and Automate Everything: Streamline internal workflows with smart tooling, configuration management, and monitoring systems.
Lead CI/CD Improvements: Define and refine deployment pipelines to support rapid, reliable releases and cross-team agility.
Strengthen Edge Security: Manage WAFs, gateways, and load balancers to balance strong protection with great user experience.
Drive Reliability: Lead incident detection, troubleshooting, and automated recovery-improving uptime and system robustness continuously.

Were looking for a Senior Frontend Engineer to shape how our product empowers security teams - how it feels, performs, and drives action. Youll own key parts of our frontend stack, define how we build across teams, and turn complex security data into clear business insights.

What Youll Do
Champion Development Best Practices: Influence architectural and technical standards across the frontend stack.
Lead Projects: Own and drive the development of key UI components and cross-functional features, working across teams and domains.
Innovate: Bring new ideas to the table -whether its in UX, UI, architecture, usage insights, and more.
Collaborate Cross-Functionally: Partner with Product, Design, Backend, and Data teams to implement experiences that are beautiful, fast, and secure.
Optimize for Performance & Usability: Build responsive, accessible, and production-ready interfaces that scale.

we seeking a talented Presale Engineer to join our sales team!
You will play a crucial role in assisting the sales team to achieve organizational goals by selling our company's solutions and tailoring them to meet the needs of both existing and potential customers.
Responsibilities: Leading E2E sales processes Leading sales meetings with customers Provide technological support to sales personnel and potential customers Identify new opportunities Execute of POC Take responsibility for the technological qualification of the sales team Maintain contact with partners and customer

Were looking for a Senior MLOps Engineer to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.

As we scale our AIDR product and expand deeper into model-driven security intelligence, we are looking for a Senior MLOps Engineer to own the infrastructure, tooling, and operational foundations that power our NLP and LLM training, evaluation, and deployment workflows.

You will architect and operate the systems that enable us to train, fine-tune, deploy, and monitor models at scale making our ML reliable, fast, cost-efficient, and production-ready.

This is a high-visibility, high-impact role where you will partner closely with DevOps, Backend, Data, and Product to establish world-class ML infrastructure from the ground up.

What Youll Do
Build & Scale ML Pipelines
Design, build, and maintain pipelines for training, fine-tuning, evaluating, and deploying NLP and LLM models across GPU and CPU environments.
Establish LLM-Focused CI/CD
Implement automated CI/CD workflows for ML models, including benchmarking, testing, performance gating, and production deployment.
Optimize Runtime & Inference
Select and optimize serving frameworks for low-latency, high-throughput inference, ensuring reliability and scalability.
Own ML Infrastructure
Manage training environments, experiment tracking, model registries, artifact versioning, and distributed training systems.
Operational Excellence
Monitor and optimize production models for performance, cost efficiency, availability, and observability.

As Security Research Team Lead at our company, you will lead the team turning security research and enterprise security data into actionable insights and product capabilities. You will combine people management with hands-on technical leadership, helping customers understand their exposure and get more value from their security tools.
Were looking for a leader with a strong background in cybersecurity research, deep understanding of enterprise security tools, and a data-driven approach to solving problems. You should be equally comfortable mentoring researchers, shaping a research roadmap, and joining customer calls to explain findings and understand real-world challenges.
What You'll Do
Lead and Develop the Team: Manage, mentor, and grow a team of security researchers. Set clear goals, provide technical guidance and feedback, and build a culture of rigor, curiosity, and ownership.
Own the Research Roadmap: Define and prioritize research initiatives in partnership with product and engineering. Balance customer needs, emerging threats, and strategic opportunities, taking projects from initial investigation through production delivery.
Drive Security Tool Research: Lead deep research into enterprise security platforms, including EDR, SIEM, firewalls, IAM, and vulnerability management tools. Assess configurations, policies, coverage, and defensive capabilities to identify gaps and improve security effectiveness.
Engage Directly with Customers: Lead technical customer discussions, explain findings clearly, investigate complex questions, and turn feedback into research and product improvements.
Turn Data into Security Insights: Guide how the team collects, models, correlates, and validates security data. Translate fragmented telemetry and configuration data into reliable assessments, prioritized findings, and actionable recommendations.
Shape Integrations and Product Capabilities: Own the research requirements and security logic behind integrations, security control assessments, and exposure prioritization. Work closely with engineering to ensure research translates into accurate, scalable product features.
Set Research Quality Standards: Establish methods for validating findings, testing assumptions, and measuring accuracy. Ensure conclusions are supported by evidence and recommendations account for customer context and operational constraints.
Guide AI-Powered Research and Workflows: Shape the security knowledge, reasoning logic, and evaluation methods behind our companys AI-powered capabilities, ensuring outputs are accurate, explainable, and useful.
Partner Across our company: Collaborate with product, engineering, data, and customer-facing teams to align priorities, resolve technical challenges, and deliver meaningful customer outcomes.

As a Senior Security Researcher, you will bridge our core research initiatives at the intersection of proactive exposure management, agentic workflows, and scalable threat modeling. We are looking for an innovator who translates complex security data into product-driven features, taking full ownership from concept to production.
What You'll Do
Drive Product-Led Research: Translate complex, real-world security challenges into actionable, product-driven research. Take full ownership of research projects end-to-end, from identifying the security gap to collaborating with engineering to ship platform features.
Drive Proactive Exposure Management: Leverage Automated Security Control Assessments (ASCA) alongside vulnerability evaluation and prioritization to holistically assess organizational risk. Deep dive into enterprise security tools (EDR, SIEM, Firewalls, IAM, etc.) to analyze configurations, map defensive capabilities, and continuously evaluate their effectiveness against real-world threats.
Build Security Tool Integrations: Drive the technical research and define the data models required to actually build deep, functional integrations into diverse security platforms, ensuring the accurate extraction of telemetry, policies, and configuration data.
Build AI & Agentic Workflows: Define, design, and implement the logic and knowledge base that feeds our company's AI-powered agents, ensuring they deliver accurate, context-aware security guidance and automated risk assessments.
Map Attack Paths: Define realistic attack flows, identify toxic combinations of misconfigurations, and surface the security gaps that help customers prioritize the risks that actually matter.
Engage with Customers: Work directly with customers to help them understand their exposure, translate your research findings into meaningful posture improvements, and gather feedback to drive product innovation.
Cross-Functional Collaboration: Partner closely with product, engineering, and data teams to embed security insights into everything we build.

Required Technical Support Engineer Tier 3
As a Technical Support Engineer on our Tier 3 team, you'll work with some of the most advanced companies leveraging cutting-edge AI-driven systems to enhance business performance. Your role involves deep technical investigation, resolution of complex issues escalated by the Support team, and acting as the main technical liaison with R&D. You'll play a critical role in identifying recurring issues and driving continuous improvement initiatives in collaboration with R&D and Product Management through leveraging customer feedback and data across the Support team.
Youll Own:
Subject Matter Expertise: Serving as a dedicated subject matter expert (SME) for a specific product area and owning it end-to-end.
Escalation Management: Partnering with Tier 2 Support and Customer Success teams to prioritize escalations, communicate updates, and drive end-to-end resolution processes.
Team Enablement: Educating and upskilling Tier 2 teams by sharing insights, documenting learnings, and delivering trainings to bridge knowledge gaps and improve first-line resolution rates.
Support Tooling: Identifying gaps and advocating for, or creating troubleshooting tooling as needed, to better equip Support team members in identifying root causes faster and delivering more holistic resolutions as early as possible.
Youll Solve:
Complex Troubleshooting: Performing root cause analysis, troubleshooting, and resolving issues using a variety of tools, datasets, and cross-functional collaboration.
Recurring Technical Challenges: Aligning closely with R&D teams to communicate recurring technical themes and suggesting improvements.
Customer Obstacles: Reading and understanding code and writing occasional scripts to resolve complex customer issues.
Youll Impact:
Product Quality & Supportability: Collaborating with R&D and Product Management to provide solutions and workarounds, and to implement product features or support tools that ultimately reduce the need for customers to submit tickets.
Support Team Proficiency: Mentoring and enabling support teams to improve technical proficiency and resolution capabilities.

Security teams are not short on tools. They are short on time, alignment, and the ability to actually close exposure. That's why most breaches could have been prevented with a tool that was already in use.
our company was built to change that.
We are the first Agentic Exposure Ops Platform, designed to prevent the preventable breach by turning fragmented signals into coordinated action. Our agents investigate risk, drive remediation, and verify that issues stay closed, continuously, without adding overhead.
we are helping organizations move from reactive workflows to continuous execution, replacing manual effort with systems that actually move the work forward.
At our company, engineering isn't a service function it's where product happens. We're looking for a Fullstack (Product) Engineer who lives at the intersection of craft and product sense:You care as much about why we're building something as how it feels in the user's hands. You're an engineer who connects naturally with other engineers, and who enjoys mentoring and ramping up the people around you.
You'll own experiences end-to-end from the first PRD conversation to the KPI dashboard weeks after ship. You'll shape our component library, raise the bar on our frontend infra, and help define what "good" looks like across the R&D org. This isn't a role where you get handed pixel-perfect mocks and a closed ticket. You'll have opinions, and we'll want to hear them.
What you'll do
Craft the experience. Design and build polished, performant UI in Vue 3 (Composition API) from the tiny interaction details to the data layer behind them.
Own the full journey of a feature. Partner with Product on the PRD, define the KPIs that actually matter, ship it, then track whether it moved the needle and iterate honestly if it didn't.
Shape the component library. Evolve our patterns, primitives, and the infra that lets the whole team build faster without sacrificing quality or consistency.
Go full-stack when it counts. Write Node (NestJS) services and work across our data stack (Postgres, Snowflake, ClickHouse) to deliver features truly end-to-end.
Push AI-assisted development forward. Build the guardrails, skills, and workflows that let engineers contribute code quickly and safely you'll help make AI a force multiplier for the whole team, not a liability.
Raise the bar org-wide. Your taste in UX, and code quality should ripple well beyond your own team.