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As an Engineering Manager in the data department, youll build and scale our data platform and data apps that powers our business insights. Youll design and implement robust pipelines to process billions of daily records, leveraging cutting-edge cloud technologies to transform data into actionable intelligence.

If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!

Responsibilities
Lead and grow Data Engineering and Machine Learning teams in a high-scale environment (tens of billions of events per day).
Own the design and evolution of a self-service data platform enabling internal teams to easily build, ship, and consume data products.
Architect and scale batch and streaming pipelines powering core business and ML use cases.
Drive production ML systems end-to-end (recommendation, ranking, prediction) with direct business KPI impact.
Ensure reliability, scalability, and observability of large-scale data and ML systems in production.

Were looking for a Senior Full-Stack Engineer to join our R&D team and help shape the product experience end-to-end. In this role, you will design and build features across our backend services and user-facing applications, collaborating closely with product, design, and other engineering teams. You will balance strong technical execution with ownership, craftsmanship, and a deep understanding of how customers interact with the product.
About the role
Youll design and develop robust backend services that ingest, process, and correlate large-scale security and cloud data.
Youll build intuitive, performant web experiences using modern frontend technologies, helping customers explore complex data with clarity.
Youll collaborate with designers and product managers to translate ideas and workflows into thoughtful, scalable product features.
Youll architect cross-service integrations, data flows, and APIs to support both customer-facing and internal features.
Youll ensure frontend and backend components are secure, resilient, and optimized for high-scale production usage.
Youll participate in design reviews, cross-team technical discussions, and efforts to continuously improve engineering velocity.
As part of a fast-paced startup, youll have a direct impact on product direction and how customers use our company to solve real-world security challenges.

We are looking for a Senior Software Engineer to own and evolve the runtime platform that powers production AI agents.

This is a hands-on backend and platform engineering role for someone who combines deep TypeScript expertise, strong distributed-systems fundamentals, and exceptional production debugging skills with a practical understanding of LLMs and agentic systems.

You will work closely with engineers building AI agents. Your responsibility will be to provide the reliable runtime, infrastructure, abstractions, and observability they need to deliver new capabilities safely and quickly.

What youll do

Own and evolve the production runtime responsible for executing and orchestrating AI agents.
Design platform capabilities for agent execution, tool calling, streaming, state management, persistence, and long-running workflows.
Build resilient integrations with multiple LLM providers and model-serving platforms.
Design provider-routing and fallback strategies based on availability, latency, quality, and cost.
Implement retries, timeouts, circuit breakers, rate-limit handling, idempotency, and graceful degradation.
Ensure the platform remains available when external dependencies or infrastructure components experience outages.
Build reliable mechanisms for loading, caching, versioning, and recovering agent configurations and artifacts.
Create end-to-end observability for AI requests, including model, provider, agent, latency, token usage, cost, errors, retries, and fallback behavior.
Define dashboards, alerts, SLOs, and runbooks for production AI workloads.
Lead the investigation of complex production issues across application code, infrastructure, external providers, distributed state, and agent behavior.
Improve platform scalability, concurrency, latency, and resource efficiency.
Build reusable APIs and abstractions that allow agent developers to add capabilities without duplicating infrastructure logic.
Strengthen platform quality through integration testing, load testing, failure injection, and dependency-outage simulations.
Turn production incidents into architectural improvements, automated tests, monitoring, and operational safeguards.
Collaborate with product, infrastructure, and engineering teams to translate customer and business requirements into platform capabilities.
Mentor engineers and establish best practices for building and operating reliable production AI systems.

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.

we are building a vertically integrated AI neocloud from the electron up. Because we own the entire stack-from clean energy generation to the GPUs running customer training jobs-we treat power as a control input, not a constraint. To support our massive scaling vector from 30,000 accelerators to 300,000 without a linear growth in headcount, we are building the Cloud Availability Platform Engineering (CAPE) organization. CAPE serves as the horizontal reliability spine beneath all of our company Cloud. As the founding Engineering Manager, Production Engineering in Tel Aviv, you will stand up our local presence from scratch, driving a cultural shift from reactive firefighting to software-defined engineering.
This is a hybrid leadership and technical role where you will hire, scale, and lead a local team of exceptional systems generalists while remaining deeply hands-on in the code and incident response. You will ensure that your team spends at least 30% of their bandwidth on strategic automation, tooling, and firmware optimization primitives to prevent the operational treadmill. If you want to bridge core software layers with physical infrastructure and write the playbook for an entire engineering site, this founding seat is for you. This is a full-time position located in Tel Aviv, Israel.
What Youll Be Working On
Team Leadership & Founding Culture: Recruit, mentor, and establish a high-performing Production Engineering footprint in Tel Aviv, setting an uncompromising cultural standard for operational discipline and systems-first engineering.
Incident & On-Call Ownership: Partner with US and Dublin teams to run a follow-the-sun global on-call rotation, while championing a strict blameless post-mortem culture that targets systemic failures over human error.
Software-Defined Operations: Drive alert-reduction initiatives to improve fleet signal-to-noise ratios, automate routine manual workflows using modern runbook automation (e.g., Temporal), and build predictive monitoring to catch SEV1/SEV2 events before customers do.
Collaborative Governance: Act as the ultimate Production Gatekeeper across cross-functional compute, storage, networking, and platform teams, holding a strict line on Production Readiness Reviews and change control.
Strategic Reliability Engineering: Protect team bandwidth to ensure engineers spend at least 30% of their time on strategic automation, tooling, and firmware optimization primitives rather than drowning in incident response.
Physical-to-Digital Automation: Instill a software-first approach to physical problems, ensuring that any physical intervention occurring twice is successfully converted into a software-defined auto-remediation.

As a Senior Cloud Support Engineer in our Tel Aviv team, youll be a key technical partner for our customers, helping them get the most out of our companys GPU-powered infrastructure. Youll dive deep into complex technical challenges, collaborate closely with global engineering teams, and play an active part in building a world-class customer experience.
At our company, we move fast, value initiative, and trust our people to think creatively and act with ownership. If you love solving problems, working with cutting-edge technologies, and being part of a close-knit, mission-driven team, this is the place for you.
What Youll Be Working On:
Deliver hands-on, high-quality technical support through Zendesk, meeting SLAs and keeping CSAT at 95%+.
Be part of a 24/7 support rotation ensuring rapid response to critical issues.
Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools.
Manage alert triage, support maintenance windows, and run node delivery testing.
Work closely with global SRE, Networking, and Storage teams from triage through to RCA (root cause analysis).
Create internal documentation, onboarding materials, and SOPs to strengthen the global support process.
Suggest and implement process and tooling enhancements to make our systems more efficient and resilient.

About This Role:
As the Data Center Design Engineer, you will be the primary architect of our companys operational computing environments. You will bridge the gap between heavy infrastructure and high-performance computing by designing the "whitespace"- the critical area where our servers, storage, and network equipment live. Your work is fundamental to our companys mission of aligning the future of computing with the future of the climate; by optimizing power distribution, cooling, and equipment density, you directly enable the scalability and energy efficiency of our sustainable cloud platform.
You will join a bold, collaborative team where you will lead the planning and implementation of high-density layouts and modular infrastructure. The ideal candidate is a technical problem-solver who thrives in the intersection of mechanical, electrical, and network engineering. This is a full-time position designed for an innovative engineer who wants to build the physical foundation of an ethical and sustainable digital world.
What Youll Be Working On:
Whitespace Design & Planning: Architect comprehensive whitespace layouts, including rack placement and aisle configurations, to maximize equipment density while maintaining optimal airflow and accessibility.
Infrastructure Integration: Partner with Electrical and Mechanical teams to seamlessly integrate power delivery and cooling systems into the whitespace, ensuring robust support for high-performance cloud workloads.
Capacity & Growth Modeling: Develop sophisticated 3D models and capacity planning tools to project future utilization, ensuring our data centers remain scalable and redundant (N+1, 2N).
Connectivity Strategy: Coordinate with Network and Cloud teams to design and implement structured cabling and fiber management systems that meet rigorous performance and low-latency requirements.
Cross-Functional Leadership: Participate in design reviews and risk assessments, providing technical guidance to internal stakeholders and external contractors during construction and commissioning phases.
Compliance & Excellence: Enforce industry standards (TIA-942, ASHRAE) and local building codes to ensure every design is safe, compliant, and performs to the highest reliability standards.
Technical Documentation: Produce and maintain high-fidelity CAD/BIM drawings and schematics that serve as the definitive source for operations, maintenance, and auditing.
Continuous Innovation: Evaluate emerging modular technologies and design methodologies to relentlessly improve energy efficiency and site performance.

We are looking for an experienced, passionate Backend Engineer to join our growing TLV R&D location. You'll be joining the backend group to help us expand our backend system and add new features to the company's core product.
As a Backend Engineer, you'll play a crucial role in driving the backend architecture and technical strategies that underpin our success. This is a great Opportunity to make a significant impact by driving the technical direction of a high-growth company.
Responsibilities
Build backend system from the ground up.
Design and collaborate with the engineering team to build architecture and system design for new products.
Build internal products and integrate with external APIs.
Play a role in building, expanding, testing and releasing of a product helping thousands happy customers.
Leverage AI coding assistants to boost productivity, while maintaining strict code quality, security, and critical review standards.

We are looking for a Senior Cloud Engineer to join our Infrastructure team in Tel Aviv. In this role, you will be a key contributor to our AWS CDK projects, taking end-to-end ownership of high-impact infrastructure shifts like our migration to EKS. This is a hands-on position where youll balance long-term architectural projects with day-to-day support for our R&D teams, ensuring our cloud environment remains scalable, secure, and developer-friendly.

Responsibilities:
As a Senior Cloud Engineer, you will be the backbone of our infrastructure, ensuring that our cloud environment is scalable, secure, and developer-friendly. You will:

Serve as a core contributor to our central AWS CDK (TypeScript) project, ensuring every cloud resource-from S3 buckets to complex networking rules-is defined as code.

Act as a consultant for R&D and platform teams, helping microservice owners deploy new services and spin up sandbox environments while maintaining security standards.

Take end-to-end ownership of high-impact infrastructure shifts, including playing a key role in the transition from ECS Fargate to EKS.

Manage the lifecycle and maintenance of critical infrastructure components, such as security/observability agents and hosted open-source solutions.

Collaborate with our Boston-based teams on shared global projects to ensure architectural alignment and cross-region infrastructure support.

Balance long-term project work with active participation in internal help channels, troubleshooting real-time issues and resolving conflicts in central tools.

We are looking for an AI Research Engineer to build the backbone of our autonomous security platform.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
You'll own technically difficult problems before the solution is known. Starting with a cybersecurity need, you'll study the domain, frame the technical challenge, investigate possible approaches, and build the solution through production. You'll have access to our company's shared agent infrastructure, but the role goes far beyond configuring existing components. Many use cases will require new reasoning methods, agent architectures, evaluation techniques, data strategies, or model behavior. This is a role for someone who enjoys applied research but is motivated by outcomes. The goal is not simply to prove that an idea can work, it is to make it useful and reliable for customers.
What You'll Do:
Design and implement AI solutions for complex cybersecurity workflows.
Develop new approaches for agent reasoning, planning, tool use, context management, decision-making, and recovery from failures.
Determine the right technical approach for each problem, combining models, algorithms, data, and conventional software where appropriate.
Define quality for each use case and create evaluations that measure correctness, task completion, consistency, safety, latency, and cost.
Analyze agent behavior deeply, identify the underlying causes of failures, and improve the relevant model, data, tool, or architecture.
Collaborate with cybersecurity experts, product teams, software engineers, and AI infrastructure engineers throughout development.

We are looking for a DevOps Engineer to build the backbone of our autonomous security platform.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
We are looking for a DevOps Engineer to build the backbone of our autonomous security platform. You will manage the infrastructure that powers our Agentic AI workflows, ensuring high performance, scalability, and security for systems that operate independently.
What You'll Do:
Build and scale our cloud infrastructure to support high-throughput AI-driven workloads.
Manage and optimize the production environment for autonomous agent workflows.
Design and maintain robust CI/CD pipelines for fast and reliable deployments.
Monitor system health, scalability, and costs in a complex security environment.

Were looking for a top-notch Detection Software Engineer to join our Threat Research team and further develop the Runtime Sensor. In this role, you will work on a world-class runtime security solution affecting some of the largest cloud workloads, collaborating closely with engineering and research to enable new and better threat detection capabilities.
Check out some of our recent research:
PostgreSQL Cryptomining
SeleniumGreed Cryptomining Exploit Attack Flow & Remediation Steps
PyLoose: First Python-based Fileless Attack on Cloud Workloads
Responsibilities:
Work on a world-class runtime security solution affecting some of the largest cloud workloads.
Work closely with engineering and research to enable new and better threat detection capabilities.
Build and extend our research infrastructure, automated testing infra and release processes.
Conduct research and develop new detection capabilities, from concept to implementation.
Constantly shift things from an art to a science - make the hard things easy, fast and scalable.
Quickly address gaps and changes when needed. Bias towards action.
Analyze, debug and solve problems in test, staging and production environments.
Create and enforce best practices and security policies.
Work with customers in response to requests and questions when needed.

We are looking for a hands-on IT Systems Engineer to own and manage our corporate IT infrastructure. Since our entire fleet is 100% macOS, we need someone with deep, expert-level knowledge of the Apple ecosystem. Additionally, you will bridge the gap between IT and DevOps, helping to automate workflows, manage cloud-based identity tools, and handle basic infrastructure tasks.
What Youll Do:
Mac Management & Security: Own the deployment, configuration, and security of all corporate Mac endpoints using MDM solutions (Jamf Pro / Kandji).
Automation & Scripting: Write scripts (Bash / Python) to automate routine IT tasks, software updates, and onboarding workflows.
DevOps Touchpoints: Manage identity and access (IdP) like Okta/Google Workspace, and collaborate with the R&D team on basic cloud infrastructure, CI/CD, or network security tasks.
IT Infrastructure: Handle SaaS vendor management, network troubleshooting, and security compliance (SOC2).

We are looking for a Software Engineer - Customer Solutions to help customers successfully integrate, configure, and deploy our platform. You will work directly with customers to understand their technical requirements, build integrations, and troubleshoot issues across APIs, data, authentication, and enterprise systems.
This role is ideal for someone who enjoys combining hands-on engineering with customer interaction. We are looking for strong technical fundamentals, curiosity, clear communication, and a practical approach to solving real-world problems.
What Youll Do:
Work directly with customers to understand their technical workflows and integration needs.
Build and configure integrations between our platform and customer systems.
Develop backend services, scripts, APIs, data transformations, and automation workflows.
Investigate technical issues involving APIs, databases, authentication, customer data, and infrastructure.
Participate in customer implementation meetings and help translate business requirements into technical tasks.
Test, deploy, monitor, and support customer-facing solutions.
Document integrations, troubleshooting steps, and implementation decisions.
Work closely with senior engineers and product teams to turn customer-specific needs into reusable capabilities.
Gradually take ownership of increasingly complex customer projects.

We are looking for a mission-driven BizOps Engineer to join our R&D team!
We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the BizOps Engineer, you will serve as both a platform architect and a hands-on builder. You will own the AI-native platform architecture and governance for all non-core product functions, including Sales, Operations, HR, Legal, and Finance, while also building, maintaining, and scaling custom AI solutions yourself to address specific departmental needs.
Reporting directly to the VP of R&D, this role begins as a high-impact Individual Contributor (IC) with a clear mandate to build and lead a dedicated engineering team as the function scales. Your primary focus will be designing and deploying infrastructure and security protocols while simultaneously delivering the bespoke AI tools that empower teams and drive operational efficiency.
You will have the autonomy to choose the most effective path forward for any given challenge, whether that means leveraging existing SaaS platforms, integrating open-source projects, or building custom solutions from scratch, always guided by the specific needs and projected ROI of the departments you support.
Responsibilities:
Architect and maintain the internal AI-native platform, while personally building and scaling custom AI solutions and automated workflows for cross-functional teams.
Establish and enforce security protocols, governance frameworks, and best practices to enable safe and compliant AI solution development across the organization.
Identify and scale platform enablement opportunities that allow departments to automate their own workflows using approved AI capabilities.
Monitor and manage organizational compliance for internal AI applications, ensuring data privacy and ethical standards are met at scale.