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We're looking for a Senior Frontend Engineer to join our R&D team and help define the future of endpoint security.

You'll join a small, high-caliber team of frontend experts building the foundations, components, and infrastructure that power our platform. Your mission will be to turn complex security data into fast, intuitive, and scalable experiences used by enterprise security teams every day.

What You'll Do
Build modern frontend applications using React, TypeScript, GraphQL, and the latest frontend technologies.

Build the infrastructure and guardrails - linting rules, AI agent skills, solid APIs, and testing mechanisms - that let non-frontend developers ship features fast without compromising quality.

Own frontend architecture, reusable components, and UI patterns while partnering closely with backend engineers and product teams.

Drive features end-to-end, from design and implementation through testing, release, and production.

Build intuitive experiences for complex security workflows, dashboards, and large-scale datasets.

Help shape and evolve our design system and shared component library.

Improve frontend performance, scalability, and developer experience.

Move fast, iterate quickly, and help shape both the product and engineering culture as we grow.

Were looking for a Senior Backend Engineer to join our R&D team and help define the future of endpoint security.

Youll join a small, high-caliber engineering team that builds the services and data platforms powering our product. Your mission will be to design and operate reliable, scalable, and secure backend systems that make our product fast, trustworthy, and easy to extend.

What You'll Do

Build and own backend services and microservices using Python and Go.

Design schemas, run migrations, and build the analytics layer on ClickHouse.

Deploy and operate services on AWS + Kubernetes

Improve reliability, performance, and observability; participate in design/code reviews.

Drive end-to-end delivery across design, implementation, testing, deployment, and monitoring.

Collaborate closely with product, design, and data teams, explain tradeoffs and iterate fast.

Thrive in a dynamic, high-velocity landscape, leveraging cutting-edge stacks and advanced AI capabilities to build what matters.

As an AI Engineer at Glow, you will own the intelligent decision-making pipelines that turn complex workspace telemetry into autonomous security actions. You will design, build, and deploy the autonomous reasoning workflows and advanced data classification systems that drive Glow's preventive operating model. Your focus will be on creating resilient, production-grade AI systems capable of deep policy comprehension, real-time prevention at the point of adoption, and autonomous remediation of existing risks.

This is a ground-floor opportunity to shape the AI strategy of a fast-growing cybersecurity company alongside a lean, elite team of builders.

WHAT YOULL DO

End-to-End Ownership: Own our AI capabilities entirely from initial research, architectural design, and prototyping, through to production deployment, optimization, and continuous monitoring.

Design & Build Agentic Workflows: Architect multi-step AI agents capable of autonomously investigating workspace risks, interpreting complex enterprise policies, and taking precise remediation actions.

Integrate Multi-Faceted ML: Bring innovation and creative thinking to our core engine. Implement diverse ML models across our entire research and product pipeline-utilizing clustering, text extraction, document analysis, and tabular data classification.

Ship Production-Grade AI: Build high-throughput, resilient, and fault-tolerant production code. You will ensure our AI pipelines and agentic workflows are highly predictable, deeply observable, and built to scale under enterprise-grade loads.

Implement Guardrails & Evaluation: Build continuous evaluation frameworks to benchmark agent accuracy, mitigate hallucinations, and enforce strict data security/privacy guardrails.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

we are seeking a Principal Technologist to be a senior technical leader within our Pre-Sales organization, focused on the compute side of AI infrastructure. Join a dynamic and forward-thinking company at the forefront of AI infrastructure transformation. We partner with hyperscalers, emerging NeoClouds, and enterprises building AI/HPC GPU compute clusters, helping them get maximum performance and utilization out of their compute platforms. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact on multi-million-dollar customer engagements.
As a Principal Technologist, you will serve as the senior technical authority on AI compute infrastructure in complex pre-sales cycles. You will lead solution design for our company's most strategic opportunities globally - working independently or alongside Solutions Architects and Sales teams to translate customer compute and workload requirements into scalable, differentiated technical solutions. You will engage at the C-level and VP level with hyperscalers, NeoClouds, service providers, and large enterprises, and will serve as a thought leader and enabler both internally and externally on GPU/accelerator compute architecture.
Responsibilities
Own the technical architecture for our company's most complex and high-value customer opportunities - spanning AI/HPC GPU and accelerator compute cluster design, workload performance, and the compute-to-network interface.
Partner with Sales and Solutions Architects from early discovery through deal closure, establishing our company as the technically superior choice for customers building next-generation AI compute infrastructure.
Lead proof-of-concept design and execution - defining success criteria, driving GPU cluster benchmarking plans (training/inference throughput, scaling efficiency), and ensuring results are communicated with the rigor and clarity that wins technical confidence at the customer.
Engage directly with ML infrastructure leads, compute architects, and C-level stakeholders at hyperscalers, NeoClouds, and large enterprises - building relationships that outlast any single deal.
Serve as a product feedback engine - capturing deep field insights on GPU/accelerator platform trends and workload behavior, translating them into concrete requirements for our company's Product Management and Engineering teams.
Define and publish architecture playbooks, reference designs, and best practices for AI compute infrastructure that scale our company's technical go-to-market across the Solutions Architect and Solutions Engineer community.
Lead and mentor Solutions Architects and Solutions Engineers, raising the overall technical bar of the pre-sales organization on compute and workload topics.
Represent our company at industry events, author white papers and technical blogs, and build our company's external technical brand in the AI compute infrastructure space.

We're looking for a multi-disciplinary security researcher to play a vital role in researching, planning, implementing, and maintaining security solutions for organizational adoption and usage of software in general, and AI-native software in particular, in collaboration with all product development departments.


What You'll Do

Investigating how software in general, and AI-powered tools (coding assistants, agents, LLM-integrated IDEs, etc.) are used inside organizations, and where they introduce risk: data leakage, prompt injection, supply chain exposure, malicious extensions, and so on.

Building a data-driven picture of real-world usage and adoption to prioritize what we protect against, using telemetry, surveys, and external research.

Designing detection and prevention approaches for these risks, and working with engineering, product, and data teams to ship them in our product.

Auditing implementations against the threat models you develop and iterate.

We are looking for a seasoned QA / E2E engineer who can hold the entire our company Application Platform (DAP) in their head - from the UI and REST/gRPC APIs, through workflow-engine orchestration and microservices, down to configuration pushed onto real network elements - and prove with evidence that it works end to end.
This is not a single-service testing role. You will own end-to-end validation across the DAP platform and matrix-lead the work: bringing development teams, system architects, product, and other stakeholders into a shared definition of success. You will increasingly do this by directing AI agents rather than only writing tests by hand.
Responsibilities
Own end-to-end test strategy and execution across the DAP platform - translate features and epics into complete E2E test plans that trace each requirement/acceptance criterion to a concrete test.
Matrix-lead cross-team work: pull in developers from different teams, system architects, and product; align them on risk, coverage, and what "done" means.
Design and execute test plans for REST/gRPC APIs and workflow-engine functionality, including dynamic task addition, orchestration, and state transitions.
Validate configuration and provisioning flows end to end - from UI/CMS edits and config-template rendering through to the configuration applied on the target network element, confirming on-device before/after state.
Build automated suites for contract validation, regression, and critical-path coverage; design negative and failure-mode tests, not just happy paths.
Identify, reproduce, document, and track defects with self-contained, reproducible bug reports (exact flow, inputs, payloads, logs, on-device evidence) and drive them to verified closure.
Present plans, risks, and results clearly - in slides and live walkthroughs - so engineering and product can decide.
Direct AI agents (e.g. Cursor, Claude, agentic subagents) to author test plans, generate and execute tests, and triage failures - while owning correctness of the output.

We are looking for a highly motivated and detail-oriented Receptionist & People Operations Coordinator to support our office operations at our company TOHA office in Tel Aviv.
As part of our HR team, you will support the companys day-to-day operations and help ensure the smooth functioning and maintenance of the office and its facilities.
Responsibilities
Manage the front desk at our companys TLV office.
Welcome and greet guests.
Manage office maintenance, including the kitchen, office equipment, and facilities.
Serve as a point of contact for employees regarding administrative needs and help ensure an excellent employee experience.
Support various office operations activities.
Perform administrative duties and support special projects and cross-company initiatives.
Partner with the HR and Recruitment teams and support various HR-related activities.

We are establishing a new backend group that will take full ownership of a core application area.
We are looking for a Senior Backend Developer who will lead the backend effort end-to-end - from initial architecture and technology choices, through implementation and scaling, and into long-term ownership and evolution.
This is a hands-on technical leadership role. You will design, build, and own production systems, work closely with multiple teams, influence product direction, and set the technical bar for the group.
We embrace an agile mindset - you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Responsibilities
Take full ownership of the backend architecture for a major application area
Design and implement scalable, reliable, and maintainable backend systems
Lead technical design and decision-making, including technology and architecture choices
Work closely with product, frontend, platform, and other backend teams
Participate in product vision discussions, brainstorming, and planning sessions
Translate product requirements into robust technical solutions
Write high-quality, production-grade code
Drive debugging and root-cause analysis of complex production issues
Ensure best practices in performance, reliability, security, and observability
Mentor and technically guide other backend engineers as the group grows.

Responsibilities
Partner with Accounting, FP&A, Procurement, and other Finance stakeholders to understand business requirements and operational challenges
Analyze existing Finance processes, identify gaps and manual activities, and design scalable solutions
Translate Finance requirements into system configurations, workflows, controls, reports, and automation
Lead implementation projects from requirements definition and solution design through testing, UAT, deployment, and adoption
Ensure implemented solutions support accounting requirements, internal controls, data accuracy, and audit readiness
Document implemented processes, system logic, controls, and user procedures
Serve as Finance's hands-on NetSuite implementation expert - designing and implementing configurations, workflows, saved searches, reports, dashboards, roles, and approval processes
Improve the use of NetSuite across Finance and reduce reliance on spreadsheets and manual work
Support the implementation of new NetSuite modules and functionality, coordinating system changes and integrations with internal stakeholders and external implementation partners
Lead testing, UAT, issue resolution, and user training for Finance-related system changes
Identify practical opportunities to use AI and automation across Finance; evaluate, select, and implement AI-based tools that improve efficiency, accuracy, controls, and decision-making
Build or implement AI-enabled workflows for reconciliations, month-end close support, journal-entry review, variance/anomaly detection, forecasting, and management reporting
Develop AI assistants or agents that can securely analyze financial information, answer Finance-related questions, generate reports, and flag items requiring review
Establish validation, access, and control mechanisms for the use of AI in Finance, and continuously monitor and improve implemented solutions
Support Finance-related integrations between NetSuite and systems such as Salesforce, DealHub, Combitas, banking platforms, procurement tools, and reporting solutions
Define data flows, business rules, controls, and reconciliation requirements, working with internal IT teams and external vendors on technical integration activities
Develop Finance dashboards and self-service reporting where required.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of our core functions.

This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.

You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.

If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.

What You'll Do

Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.

Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.

Design and evolve our data models, creating a unified language across data coming from multiple integrations and systems.

Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.

Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.

Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.

Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.

Help define the foundations of our data function by evaluating tools, methodologies, and best practices that will scale with the company.

Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.

Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

we are seeking an experienced Senior Hardware Project Manager to lead and coordinate complex hardware development projects across multiple product generations.
This role requires exceptional project management skills combined with a strong technical understanding of hardware development processes. The successful candidate will maintain an end-to-end view of ongoing and future hardware activities, ensuring alignment between engineering execution, business priorities, resource allocation, and product roadmap objectives.
The Senior HW PM will work closely with Hardware Engineering, Product Management, ASIC teams, Mechanical Engineering, Validation, Operations, Supply Chain, Manufacturing, and Executive Management to drive execution excellence and successful product delivery.
Responsibilities
Project Planning & Execution
Lead multiple concurrent hardware projects from concept through production release.
Build, maintain, and drive detailed project plans, schedules, milestones, and deliverables.
Define project scope, timelines, dependencies, and critical paths.
Monitor project progress and proactively address execution gaps.
Drive accountability across cross-functional teams to ensure timely delivery.
Portfolio & Roadmap Management
Maintain a comprehensive view of all hardware projects, interdependencies, resource constraints, and roadmap priorities.
Coordinate planning activities across current product development and future platform initiatives.
Identify schedule conflicts and resource bottlenecks and drive resolution plans.
Support strategic planning activities and hardware roadmap execution.
Cross-Functional Leadership
Coordinate activities across:
Hardware Design
PCB Development
ASIC Integration
Mechanical Engineering
Signal Integrity / Power Integrity
Validation & Testing
Operations & Manufacturing
Supply Chain
Product Management
Facilitate effective communication and decision-making between stakeholders.
Ensure alignment between technical teams and business objectives.
Risk & Issue Management
Identify project risks, dependencies, and execution challenges early.
Develop mitigation and contingency plans.
Drive issue resolution and escalation management.
Ensure project readiness for major milestones, including:
Architecture Reviews
Design Reviews
EVT
DVT
PVT
Manufacturing Release
Customer Deliveries
Executive Reporting & Governance
Establish and maintain project dashboards and status reporting mechanisms.
Provide regular updates to engineering leadership and executive management.
Drive project review meetings and decision forums.
Present project health, risks, mitigation plans, and recovery strategies.

We are looking for a Senior Network & Security Engineer to join our dynamic IT team.
Design, deploy, and operate enterprise and datacenter network infrastructure.
Manage and troubleshoot LAN, WAN, WLAN, VPN, and security environments.
Configure and maintain routers, switches, firewalls, load balancers, and related infrastructure.
Design and implement scalable network architectures based on modern cloud and hyperscale principles.
Drive network automation using Python, Golang, Shell, or similar technologies.
Build and enhance self-service infrastructure platforms supporting engineering and lab environments.
Monitor network performance, availability, and security using automated monitoring and alerting systems.
Collaborate closely with Infrastructure, Security, and Engineering teams to implement security controls and best practices.
Participate in architecture reviews, capacity planning, disaster recovery, and operational excellence initiatives.
Mentor team members and contribute to technical leadership across.

Were looking for a talented Content Marketing Manager to join our team and help shape our story .
In this role, youll own our content strategy end-to-end, from ideation to execution, across blogs, email, and social, using data and AI.

As a Content Marketing Manager, you will:
Own end-to-end content creation process, from ideation to execution, for diverse marketing assets including blogs, emails, social media, and co-marketing.
Manage and optimize email campaigns using marketing automation platforms (e.g., Customer.io)
Own the execution of our content calendar across all owned and earned media channels.
Adopt and champion AI tools to streamline content production and operational workflows.
Collaborate with marketing, design, and product teams ensure content is accurate, on-brand, and delivered on time.
Contribute to UX copy as needed - in-app messages, tooltips, upgrade flows, and similar touchpoints.

We are looking for a Senior Network & Security Engineer to join our dynamic IT team.
Design, deploy, and operate enterprise and datacenter network infrastructure.
Manage and troubleshoot LAN, WAN, WLAN, VPN, and security environments.
Configure and maintain routers, switches, firewalls, load balancers, and related infrastructure.
Design and implement scalable network architectures based on modern cloud and hyperscale principles.
Drive network automation using Python, Golang, Shell, or similar technologies.
Build and enhance self-service infrastructure platforms supporting engineering and lab environments.
Monitor network performance, availability, and security using automated monitoring and alerting systems.
Collaborate closely with Infrastructure, Security, and Engineering teams to implement security controls and best practices.
Participate in architecture reviews, capacity planning, disaster recovery, and operational excellence initiatives.
Mentor team members and contribute to technical leadership across.