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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.

AI moved attackers faster than human-paced defense cycles can absorb, and pushed exposure data past what any team can triage by hand. Our platform runs AI agents that investigate on their own, verify whether existing controls neutralize the risk, and return a validated case with root cause, owner and remediation. How those agents earn a security team's trust - what they decide alone, what they escalate, what evidence they show - is unsettled across the industry, and what gets built now sets the pattern.
Security teams own thirty tools and still can't say which threats those tools actually stop. our company answers that question. We connect read-only to the stack a company already runs - CrowdStrike, Microsoft, Okta, Qualys, 40+ more - and build a live model of what's exploitable, what's already covered, and what to fix first.
As the Product Manager, you'll own a key domain of the platform end-to-end: vision, strategy, roadmap, specs, delivery, adoption. Direct work with CISOs, detection engineers and SOC teams, and what you decide from those conversations ships. Reports to the VP Product.
Responsibilities:
Set the strategy and roadmap for your domain, and own what it delivers. You decide what gets built, what waits, and what we drop.
Spend real time with customers and prospects. Sit in their environment, watch how their team works, find the problem behind the request.
Write the specs and work with engineering and design through delivery. Stay in it until it ships and people use it.
Build the narrative for what you ship - the value story a CISO repeats to their board, not a feature list. Sales, marketing and CS should be able to sell it from your words.
Bring your product to market with sales and marketing, then track adoption and come back with the next round of decisions.
Watch the market: competitors, new threats, how CTEM and agentic security keep shifting. Turn that into where we go next.

Required Senior SRE Engineer /Senior DevOps
Were on a mission to help companies unlock reality and reach their full potential. As a Senior Site Reliability Engineer (SRE), youll play a key role in shaping our new Production Reliability domain. Youll drive reliability initiatives, lead cross-team projects, and ensure our SaaS platform stays robust, scalable, and efficient. This is a high-impact, hands-on role that demands technical expertise and a proactive approach.
You'll Own
Design, build, and maintain scalable, fault-tolerant systems.
Define and enforce reliability processes, SLOs, SLIs, and SLAs.
Lead complex incident responses, including on-call rotations and postmortems.
You'll Solve
Challenges related to observability, testing, production stability, and development productivity.
Reliability improvements through data-driven decisions.
Complex production incidents.
You'll Impact
Build automation, tooling, and self-service capabilities.
Collaborate with engineering, product, and support teams to embed reliability into everything we do.
Mentor engineers and promote operational excellence across the organization.

Were seeking a highly motivated, Senior Product Designer to play a key role in designing, exploring, and continually delivering innovative solutions and experiences. If you have a passion for creating innovative products and thrive on identifying and solving user needs, we want you!
You'll Own:
Drive the user experience and design for one of our key product areas.
Lead end-to-end design processes- from ideation and wireframes to polished, high-fidelity designs.
Champion user-centered design principles and act as the voice of the user across the product lifecycle.
Help shape and refine our UI pattern libraries and design guidelines.
Take ownership of creating intuitive, scalable, and impactful product experiences.
You'll Solve:
Research and deeply understand complex user problems in B2B SaaS environments.
Transform complicated workflows into elegant, simple, and easy-to-use solutions.
Balance strategic thinking with attention to detail while designing flows and interfaces.
Collaborate closely with Product Managers and Engineers to bring ideas to life.
Use prototyping, user research, and testing methodologies to validate and improve solutions.
You'll Impact:
Create exceptional UX experiences that turn users into loyal advocates and raving fans.
Influence how revenue teams worldwide work more productively and make smarter decisions.
Contribute to products used by more than 4,500 companies globally.
Help build innovative AI-powered experiences that drive measurable business outcomes.
Be part of our Own. Solve. Impact. culture by delivering meaningful product and customer impact.

We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure (AWS and Azure) is hardened, automated, and resilient by design.
Youll Own:
The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics.
A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing team.
Lead our Platform Security domain - from Layer 7 protections to AWS architecture, security tooling, automated risk scoring, and AI-assisted automation workflows that improve detection and remediation times.
Security controls (WAF, Rate Limiting) embedded into the SDLC and CI/CD pipelines, including mandatory security gates, artifact scanning, and automated deployment checks.
Lead our AI strategy - enabling secure use in our platform products as well as for our internal engineering usage, and scaling AI security governance and controls.
The evolution of scalable infrastructure security, including Kubernetes, containers, IAM, and Zero Trust architectures, strengthening Kubernetes and cloud security posture.
Own and execute the comprehensive Vulnerability Management program, from discovery (SAST/DAST/OSS scanning) through remediation tracking, and manage the external Bug Bounty program, with a focus on improving remediation SLAs and automation coverage.
Mature secure-by-default engineering practices across the SDLC.
Increase developer adoption of automated security tooling.
Youll Solve:
Eliminating manual bottlenecks through code-driven guardrails and frictionless developer experiences.
Securing complex production systems and multi-tenant AI architectures in cloud-native production environments, with a focus on model integrity, training data provenance, data exfiltration prevention, and minimizing unique risks associated with Large Language Models (LLMs), by applying specific AI threat models.
Operationalizing Red/Purple Team exercises, penetration testing, and the Bug Bounty program to ensure a continuous feedback loop that drives proactive risk reduction.

Were looking for a DevSecOps Manager to lead our Israel-based DevSecOps team and own the security posture of our cloud infrastructure. Youll inherit a strong, established team of DevOps and DevSecOps engineers with meaningful ownership and a mature security program.
This is a hands-on leadership role that combines people management, technical depth, and architectural influence. Youll define the cloud security roadmap, remain close to the code and systems, and partner with Product Security, R&D, and Cloud Engineering to make security part of the platform by default.
Youll own:
The security posture of our multi-cloud infrastructure across AWS, Azure, and GCP.
Identity governance, least-privilege access, credential lifecycle management, and cloud vulnerability management.
Security controls embedded directly into the cloud platform, enabling R&D teams to build and operate securely by default.
Developer toolchain security, including CI/CD pipelines, software supply chain risks, and developer-facing guardrails.
The implementation of security as code, replacing manual processes and ticket-based controls with scalable automation.
The leadership, development, and technical growth of a team of DevOps and DevSecOps engineers.
Teams roadmap, priorities, and quarterly planning in alignment with Cloud Engineering and the broader Security organization.
The teams role as the primary cloud security partner for Product Security, R&D, and Cloud Engineering.
Clear security standards, ownership boundaries, and operating practices across the cloud platform.
Youll solve:
Security challenges across a large, evolving environment with multiple production cells, several cloud providers, and more than 500 engineers.
Gaps in cloud identity, permissions, credentials, workload protection, and vulnerability management.
Security risks within Kubernetes, including RBAC, pod security, network policies, and runtime protection.
Risks across GitHub, CI/CD pipelines, third-party dependencies, and the software supply chain.
Friction between strong security controls and the speed, usability, and autonomy R&D teams need.
Repetitive security work by turning manual controls into automated, reusable platform capabilities.
Cross-functional challenges that require alignment between Cloud Engineering, Product Security, R&D, and compliance stakeholders.
Emerging cloud security gaps by proactively identifying them, proposing practical solutions, and driving remediation through completion.

Required Senior DevOps Engineer
As a Senior DevOps Engineer, you'll design, operate, and evolve the platform that runs our production environment across AWS, GCP, and Azure, powering hundreds of Java microservices, ML model-serving workloads, and the internal tooling our R&D organization depends on every day.
You'll own:
A multi-cloud, multi-region Kubernetes platform managed as code via Crossplane, Helm, and ArgoCD
CI/CD pipelines (Jenkins, GitHub Actions, Argo Workflows) that deploy, test, and scale workloads across environments
Monitoring, logging, and alerting across the stack (Datadog, Coralogix, Sentry, Wiz), and the on-call rotations that keep it healthy
You'll solve:
High-scale production problems: driving continuous platform and security upgrades across the fleet, under real traffic, without impacting live tenants
The velocity-vs-safety tradeoff: designing GitOps workflows where a single PR can safely impact production across clouds and region
Advanced troubleshooting when production, staging, or dev environments break in unexpected ways
You'll impact:
Every engineer. Our platform is the substrate they deploy on, so your work directly affects their delivery speed
Cost, reliability, and security of the infrastructure that underpins the product our customers pay for
The resilience of our customer experience. The platform you build determines whether thousands of revenue teams can trust us to be there when they need it
The direction of the platform itself. You'll have the autonomy to challenge existing architecture and drive meaningful changes, not just maintain what's already there.

Were looking for an experienced, multidisciplinary Security Engineer with a strong technical foundation and the ability to learn and own new technologies and domains from the ground up.Youll join Corporate Security Engineering within our Cyber Defense organization, Youll design, implement, and mature the security controls that protect our business applications, workforce, and corporate environment.
Youll work closely with Cyber Defense, IT, DRE, R&D, People, Legal, and GRC to embed security controls at scale. Our strategy is AI-first and built on identity-centric controls, Zero Trust principles, and scalable automation.
Youll Own
The security posture of our corporate technology stack, including AI security, identity, DLP and insider risk, EDR, MDM, browser security, SSPM/CASB, network security, and email and collaboration security.
Zero Trust access policies for workforce and external users, along with hardening for macOS, Windows, and Linux endpoints, browsers, SaaS applications, and corporate networks.
Identity and access capabilities, including SSO, phishing-resistant MFA, passwordless authentication, conditional access, device trust, PAM, joiner-mover-leaver controls, and service-account hygiene.
The evaluation and rollout of new security technologies, taking solutions from proof of concept through production.
Automated workflows and API integrations that scale security controls without adding operational overhead or headcount.
SaaS, third-party, and AI governance, including SaaS configuration reviews, vendor security assessments, access reviews, OAuth governance, posture remediation, and enablement-first guardrails for employee AI tools.
Domain expertise for SecOps incident response and partnership with IT and R&D to embed security standards and operating procedures into day-to-day processes.
Youll Solve
How to protect a fast-growing SaaS companys corporate environment across a broad and evolving technology stack.
How to translate security risks into clear requirements, practical controls, and reliable production operations.
How to strengthen identity, endpoint, SaaS, network, email, and collaboration security through a unified Zero Trust approach.
How to automate security processes and integrate systems so controls remain effective as we scale.
How to enable employees to use SaaS and AI tools safely through thoughtful guardrails rather than blanket restrictions.
How to make security standards easy for partner teams to adopt by embedding them into operational workflows and SOPs.
Youll Impact
The security and resilience of our business applications, workforce, and corporate environment.
Our ability to scale securely through stronger identity-centric controls, Zero Trust access, endpoint hardening, and SaaS governance.

Required Senior Backend Engineer - AI Framework (Python)
As a Senior Backend Engineer on our AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power our agentic ecosystem.
Youll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across, making your impact immediate and company-wide.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

Were looking for a Senior Backend Engineer to join our core team and build the engine behind AI-native security. We aren't just building another dashboard, we are architecting a system that processes massive data streams and pushes AI models to their absolute limits to outthink modern attackers. If you are a builder at heart who thrives on high-scale challenges, ownership, and the fast pace of an early-stage startup, youll fit right in.
What You'll Do:
Design and build the core backend systems from the ground up
Architect scalable, resilient infrastructure that processes large volumes of security data
Make high-impact technical decisions with real ownership
Work closely with AI and security researchers to turn cutting-edge ideas into production systems
Take features from concept through production and monitoring
Help define engineering standards, culture, and best practices.

Were looking for a Devops Engineer to join our core team and build the engine behind AI-native security. We aren't just building another dashboard, we are architecting a system that processes massive data streams and pushes AI models to their absolute limits to outthink modern attackers. If you are a builder at heart who thrives on high-scale challenges, ownership, and the fast pace of an early-stage startup, youll fit right in.
What You'll Do
Build and maintain our cloud infrastructure across multiple environments
Design CI/CD pipelines that let the team ship fast without breaking things
Implement security best practices at every layer of our stack
Create monitoring, alerting, and observability systems
Automate everything that can be automated.

A leading creative technology company empowering creators and brands worldwide with AI tools, high-quality assets, and powerful editing capabilities. Trusted by 30M+ creators and brands like Google, Amazon, and Microsoft. We're looking for a Senior Brand & Marketing Designer to join our Tel Aviv team.
What you'll do:
Shape our brand identity, tone of voice, and visual language Own marketing assets, website visuals, and campaign design end-to-end Collaborate with marketing, product, and content teams to develop creative strategies Drive data -informed design decisions through A/B testing and user insights

We're looking for a Staff Product Manager to help architect the scalable platforms that solve our most complex systemic challenges. You'll sit at the intersection of automation, AI, and infrastructure - owning the strategy and execution for core capabilities that move our platform forward. This role lives within our Product team and carries real visibility across the organization.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead zero-to-one strategy and execution for critical automation platforms - building the scalable infrastructure that powers seamless workflows and measurable efficiency gains
Map and untangle complex, multi-step logic to identify where self-service and AI can replace manual effort, then drive those initiatives through to scale
Build with the latest GenAI tools and LLMs, alongside our homegrown internal tooling, to create capabilities that intelligently manage high-stakes touchpoints
Partner closely with engineers, designers, data analysts, and internal stakeholders to shape product strategy, then translate it into detailed requirements and working prototypes
Own the roadmap for foundational infrastructure, prioritizing solutions that expand capabilities and reduce friction for internal teams and end-users alike
Mentor across the organization, championing rigorous problem-solving, systems thinking, and a culture of continuous learning.