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As a Technical Support Engineer, youll be the one making sure that all existing customers issues are properly and thoroughly handled by the various relevant stakeholders.

You will be working at a fast-paced startup, servicing global enterprise clients worldwide and enjoying a diverse, dynamic culture, building next generation cyber security technology.

Responsibilities

- Lead investigation and resolution of complex technical issues, performing deep root cause analysis across application, network, security, and platform layers.

- Use logs, APIs, telemetry, and AI-powered tools to troubleshoot product behavior and accelerate issue resolution.

- Partner closely with R&D and Product teams to reproduce issues, validate fixes, document defects, and improve product quality.

- Own critical customer escalations, driving communication, coordination, and timely resolution.

- Participate in customer meetings to provide technical guidance, explain findings, and support resolution plans.

- Act as a technical focal point for customers and internal teams on product, integration, and security-related topics.

- Identify recurring issues and recommend improvements to product functionality, support processes, and automation.

- Create and maintain knowledge base articles, troubleshooting guides, and technical documentation.

- Support onboarding, training sessions, and knowledge sharing across teams.

We're looking for a Support Lead to build our company's customer support function from the ground up, working on site in Tel Aviv offices.
You'll be the founding member of our support organization, designing the processes, tooling, and team that will sit between our enterprise customers and our Product and Engineering teams. You'll report to the VP Product Growth and work closely with Product and Engineering to ensure issues are resolved fast, with full ownership, and with as little engineering drag as possible.
This is a rare opportunity to define what great support looks like at an AI-first company serving some of the world's largest enterprises, and to build it your way.
What you'll do
Build the support function from scratch: processes, workflows, escalation paths, SLAs, tooling, and internal playbooks.
Lead day-to-day support operations for global enterprise customers, owning prioritization, escalations, and customer communication.
Hire and grow a team of Support Engineers who are technical enough to investigate issues independently, reducing reliance on Engineering for first and second-line resolution.
Design an AI-first support model: leverage AI tooling for log analysis, issue investigation, and knowledge retrieval to help the team punch above its weight across a fast-growing set of diverse customer solutions.
Build and maintain a living knowledge base that enables support engineers to ramp quickly on new solutions and handle complex issues without deep product expertise from day one.
Partner with Product and Engineering to surface recurring issues, drive root cause fixes, and close the loop between customer feedback and product improvement.

We're looking for an Infrastructure Engineer with a strong backend engineering mindset - someone who treats infrastructure as software.
In this role, you won't just operate infrastructure - you'll design systems, write code, and build controllers and automation that power our Kubernetes-native platform.
You'll work closely with platform, DevOps, and backend teams to create scalable, reliable infrastructure abstractions used by hundreds of developers.
What Youll Do:
Design and build backend-driven infrastructure workflows using Kubernetes controllers and declarative patterns.
Develop automation and tooling in Go or Python to manage infrastructure at scale.
Manage AWS resources through Kubernetes-native approaches (ACK or similar controller models).
Develop internal APIs, scripts, or services that improve developer workflows and platform capabilities.
Operate and evolve multi-cluster Kubernetes environments with a focus on automation and reliability.
Implement observability patterns and integrate monitoring signals into infrastructure logic.
Collaborate with backend engineers to design infrastructure that behaves like software - versioned, testable, and automated.

We are looking for an exceptional Production Troubleshooting & Incident Lead to take end-to-end ownership of complex production incidents in a mission-critical banking environmnt.
This is not a traditional support role.
The person in this position will be expected to quickly understand complex problems, build a clear picture of the incident across multiple systems, identify the relevant components and dependencies, determine the root cause, engage the appropriate engineering teams, and drive the incident through to complete resolution.
Our production environment consists of multiple applications, services, infrastructure components, business processes, and integrations with the Bank's systems. Successful troubleshooting therefore requires both deep technical capabilities and strong system-level thinking.
The ideal candidate is a natural problem solver - someone who is comfortable entering an unclear situation, asking the right questions, connecting information from multiple sources, and rapidly turning uncertainty into a structured understanding of the problem.

We are looking for a highly motivated and experienced Sr. Principal DevOps Engineer to design, build, and maintain scalable, secure, and highly available cloud infrastructure for our next-generation products.
The role drives DevOps activities across the engineering organization, with a strong focus on automation, CI/CD optimization, infrastructure as code, and the use of modern AI tools to improve development efficiency, reliability, and the software delivery lifecycle.
What you'll do:
Design, implement, and maintain scalable, secure, and highly available cloud infrastructure (e.g., AWS, Azure, GCP)
Develop and optimize CI/CD pipelines to improve deployment speed and quality
Monitor system performance, troubleshoot issues, and ensure high uptime and reliability
Automate provisioning, configuration management, and monitoring using tools like Terraform, Ansible, or similar
Collaborate with software engineers to understand and support their infrastructure needs
Define and enforce best practices for DevOps, infrastructure as code, security, and observability
Lead AI initiatives within the engineering group by leveraging AI-driven tools and integrating them into the CI/CD pipeline to enhance code quality and optimize the software development lifecycle

We are looking for a talented and experienced DevOps Team Leader to join our infrastructure team. As the DevOps Team Lead, you will manage and lead the DevOps team. You will provide strong technical skills, enhance operational efficiency, design and implement scalable systems to keep us running smoothly, and support our significant business growth. You will be part of an innovative, high-performance R&D department, working with cutting-edge technologies in a dynamic and agile environment.

Technology should be an accelerator, not a bottleneck.
We're looking for an IT Manager to own the technology experience across our company. From the moment someone joins the company to the day they leave, you'll make sure every tool, device, system, and workflow helps people move faster.
This is a true one-person team.
You'll own the day-to-day while continuously improving it. Supporting teammates, leading company-wide initiatives, strengthening security, introducing AI and automation, and building the systems that allow our company to scale.
You'll work closely with Engineering, our CISO, and DevSecOps to continuously raise the bar on security while keeping technology simple and frictionless. As our company grows, you'll also help build the IT, security, and compliance foundations required of a global company preparing for future milestones, including a potential IPO.
What You'll Do
Own the end-to-end internal technology experience across the company.
Deliver fast, thoughtful support that keeps people productive.
Lead seamless onboarding and offboarding experiences.
Manage our Mac environment, SaaS applications, identity management, devices, and workplace infrastructure.
Partner with our CISO and DevSecOps teams to strengthen security across the company.
Lead company-wide IT initiatives that improve scalability, security, and employee experience.
Introduce AI and automation to eliminate repetitive work and help the company move faster.
Build systems and processes that scale as the company grows.

We are seeking a hands-on, business-oriented DevOps Team Lead to spearhead our infrastructure and cloud operations. You will build and maintain the foundational systems enabling our agentic AI ecosystem while leading a team of talented engineers to translate technical capabilities into commercial impact.
Our core technology uses advanced AI predictive models (LTV, churn, and intent). You will ensure the high-performance infrastructure required for autonomous signal engineering and real-time recalibration of these models is optimized for performance and ROI.
In this role, you will bridge the gap between infrastructure excellence and business strategy, ensuring our technical roadmap is optimized for both performance and ROI.
Responsibilities:
Leadership & Hands-on Execution: Manage and mentor a high-performing DevOps team while remaining deeply involved in technical execution, architecture, and troubleshooting.
AI-Driven SDLC: Continue evolving our software development lifecycle by integrating AI-driven methodologies and agentic AI tools to automate delivery, improve code quality, and accelerate release cycles.
Infrastructure Management: Own and optimize our core cloud infrastructure on AWS and our data warehouse environment on Snowflake.
Resource Management & ROI: Take accountability for the cloud infrastructure budget. Monitor costs, manage vendor relationships (SaaS & AI tooling), and ensure all resource allocations drive tangible business value.
Security & Compliance: Enforce rigorous security standards and data privacy protocols across all infrastructure and engineering workflows to protect our product ecosystem.

We are constantly striving to make our systems reliable, scalable, and simple to operate so our services are available to travelers when they need them most. With our continued growth, we have exciting challenges ahead and we're looking for a Senior Site Reliability Engineer to join our team in Tel Aviv. This role blends classic SRE ownership with pragmatic AI SRE work: you will build and operate the platforms, automation, observability, and incident response practices that keep Navan reliable, while helping teams use AI solutions, AI providers, and their APIs safely and dependably.



This is a hands-on engineering role, not a research role. You will partner with product, platform, data, security, support, and incident response teams to make production systems and AI-powered experiences more resilient. You will use software engineering, infrastructure as code, SLOs, telemetry, provider observability, and automation as your main tools, and you will apply AI where it creates measurable reliability value rather than novelty.



This position is based out of our new Tel Aviv office.



What You'll Do:

Support AI-based application solutions where reliability matters. Partner with the development teams building AI-powered travel experiences to support the development and production operation of their solution.
Work with AI solutions, providers, and APIs. Partner with teams integrating AI capabilities and providers, with attention to API reliability, authentication, quotas, rate limits, latency and provider-specific operational constraints.
Troubleshoot AI tools and provider issues. Diagnose failures across AI-powered workflows, provider APIs, configuration, permission errors, degraded responses and related areas.
Operate reliable production platforms. implement and run cloud infrastructure,and help product teams move quickly without compromising reliability.
Improve observability. Build dashboards, alerts, traces, logs, and runbooks that make service health clear, actionable, and tied to SLOs and customer impact.
Apply AI to SRE workflows. Prototype and productionize AI-assisted systems that create effective and efficient operations
Automate operational toil. Create tools, workflows, and automation that remove repetitive manual work and make operational knowledge easier to use.

As a Data Center Operations Project Manager on our companys Cloud Deployment Operations team, you will drive the physical expansion and operational readiness of our sustainable data center infrastructure. In this full-time role, you will lead complex, high-impact infrastructure deployment projects across our data center environments. You will be the orchestrator ensuring sites are ready, structured cabling and physical layer infrastructure are installed to exact specifications, and our cutting-edge cloud infrastructure is brought online efficiently and reliably to power the future of compute.
The ideal candidate is a self-directed, highly organized technical project manager who thrives in fast-paced, dynamic environments. You bring a deep understanding of physical infrastructure deployments, data center operations, and cloud readiness, paired with the exceptional collaboration skills required to align cross-functional engineering teams and external vendors. By bridging the gap between physical deployment and operational reality, you will directly accelerate our company's mission to build the most climate-aligned digital infrastructure on earth.
What Youll Be Working On:
Ensure Site Readiness: Oversee all aspects of site readiness, proactively coordinating with diverse stakeholders to guarantee facilities are fully prepared for seamless equipment installation and operational deployment.
Own Deployment Execution: Lead end-to-end project management for physical layer and cable infrastructure rollouts, driving vendor execution from initial planning phases through final testing and handoff.
Manage Physical Infrastructure: Partner closely with internal deployment engineers to oversee the installation of structured cabling (backbone fiber, copper, pathways, and containment), ensuring third-party vendors execute strictly according to engineering designs and timelines.
Drive Cross-Functional Collaboration: Align project goals, key dependencies, and deliverables by working hand-in-hand with our Digital Infrastructure Group (DIG), Site Reliability Engineering (SRE), and external partners.
Build Project Plans & Schedules: Develop, maintain, and manage highly detailed project plans-utilizing Gantt charts and tracking tools-to map critical milestones, track dependencies, and ensure on-time project delivery.
Mitigate Risks: Proactively identify project risks, physical constraints, and resource blockers, establishing robust mitigation strategies to maintain continuous project momentum.
Engage Stakeholders: Deliver clear, concise, and proactive updates regarding project progress, risks, and milestones to engineering, operations, and leadership teams to ensure total organizational alignment.
Continuous Process Improvement: Standardize and optimize deployment methodologies, contributing new processes and documentation to elevate the efficiency of the Cloud Deployment Operations team.