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Join our company's growing Travel Product Strategy & Analysis team as an Analytics engineer focused on driving strategic product decisions through data-driven insights. You'll be at the center of product investment strategy, working directly with Product Managers, Engineering, Design, Leadership and Data Teams to harness data insights and empower teams to optimize our marketplace and user journey on our company Travel.
As a key member of our small, high-impact team, you'll own business understanding for our travel platforms and serve as the analytical backbone. You will focus on execution by delivering insights, building dashboards, track metrics, develop models and analyze results. This role combines deep data fundamentals and thorough analytical rigor with strategic product thinking to influence investment decisions.
What Youll Do:
Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
Champion data quality, documentation, and execution to ensure observability and trust across the organization
Own all data aspects of the flights team line of business
Spearhead AB testing development and implementation to increase deployment trust.
Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity.

At our company, we aren't building a single, generic chatbot. We are building a Composable AI Microservice Architecture, a swarm of hundreds of hyper-specialized AI services, each meticulously "programmed" to solve small, focused tasks with high precision. This fleet powers Ava, our AI support engine, and a suite of cutting-edge generative tools for travel and expense management.
As a Senior AI Ops / MLOps Engineer, you are the architect of the platform that makes this scale possible. You will move beyond traditional MLOps to manage a "factory" of Language Models. Your challenge is one of orchestration and standardization, ensuring that every service in the swarm meets a rigorous bar for quality, reliability, and cost-efficiency.
What You'll Do
Orchestrate the AI Fleet: Build and own the runtime environment for 100+ specialized AI services. Manage model routing, context versioning, and standardized memory/history stores.
High-Density Inference Optimization: Design and implement SageMaker Multi-Model Endpoints (MME) and Inference Components to serve multiple tuned SLMs per GPU, maximizing hardware utilization while minimizing latency.
Deterministic Service Excellence: Treat reliability as a layered engineering problem. Build deterministic "shells" around probabilistic LM outputs, prioritizing data-layer validation and strict serialization.
Automated Evaluation & Observability: Implement "LLM-as-a-judge" patterns and automated benchmarking to detect semantic drift and hallucinations across the fleet before they impact the user.
Standardize the Workflow: Obsess over building reusable patterns and Terraform-based infrastructure that eliminate "snowflake" configurations, allowing us to deploy new specialized AI tasks in minutes.
Agency Strategy: Partner with AI Researchers to find the "Goldilocks zone" for agentic autonomy-balancing the flexibility of LLM tool-use with the precision required for production stability.

we are looking for a Senior DevOps Engineer.
Summary of Essential Job Functions
Thorough, clear, concise documentation of new and existing standards, procedures, and automated workflows
Championing of best practices and standards around infrastructure configuration and management
Experience in creating internal products and managing their software development lifecycle
Deployment, configuration, and management of infrastructure via infrastructure as code
Working hands on with cloud infrastructure (AWS, Azure, and GCP)
Working hands on with container infrastructure (Docker, Kubernetes, ECS, EKS, GKE, GAE, etc.)
Configuration and management of Linux based tools and third-party cloud services
Continuous improvement of our infrastructure, ensuring that it is highly available and observable

we are looking for a GTM Engineer (AI & Automation).
Key Responsibilities:
Identify high-leverage opportunities to automate manual workflows across Marketing and Sales using LLMs, autonomous agents, and modern API integrations.
Act as a "product manager for internal growth," translating the CEOs strategic vision into functional, AI-powered tools that accelerate pipeline generation.
Design and build custom data pipelines and automations that remove friction for SDR and Marketing teams, allowing them to work smarter and move faster.
Own the entire lifecycle of internal growth tools - from identifying pain points and defining "better" to building, shipping, and iterating on production-level solutions.
Partner with Finance, Marketing, and Sales leadership to ensure AI deployments are scalable, secure, and measurably improve conversion rates.
Establish credibility with internal stakeholders by creating compelling ROI models for new AI-driven processes

We're looking for an experienced Full Stack Developer to join our applications team, reporting to the team lead.
Our team is based in Tel Aviv.
You'll be integrating external utilities and applications to our on-premise main solution as well as for our cloud solution. The ideal candidate is someone who has hands-on experience with development and infrastructure and is able to take on new challenges in new areas.
Add capabilities to our applications framework, which will allow better flexibility for application development.
Enhance our SDK so we can build custom applications more easily.
In addition, you will add new components to our UI system, create widgets for our custom dashboard, and work with our core teams for additional features.

Were looking for a Senior Backend Engineer to join our growing team.
Responsibilities:
Design and build scalable backend services and APIs that power open security platform.
Develop serverless architectures on AWS, focusing on reliability, performance, and scalability.
Collaborate closely with product and security teams to translate requirements into clean, effective technical solutions.
Own delivery end-to-end: architecture, implementation, automated testing, CI/CD, and production monitoring.
Champion best practices around code quality, documentation, observability, and security-by-design.
Contribute to technical discussions and share knowledge with teammates on backend architecture, cloud infrastructure, and development best practices.

We're looking for a Senior Full Stack Engineer (Frontend Oriented) to join our growing team.
Responsibilities:
Design & Build modern, scalable frontend applications with React and TypeScript, delivering seamless user experiences for developers.
Develop & Maintain the design system closely with Product and UX, ensuring consistency, usability, and alignment with user needs.
Manage State at Scale using frameworks such as Redux, React Context, or React Query to support high-performance, complex applications.
Contribute Across the Stack with hands-on coding in Python and work on AWS cloud infrastructure where needed.
Collaborate closely with product, security, and backend teams to translate requirements into elegant and performant technical solutions.
Own Delivery end-to-end: architecture, implementation, automated testing, CI/CD, and production monitoring.
Champion Best Practices around code quality, documentation, accessibility, observability, and security-by-design.
Mentor & Guide teammates, sharing knowledge on modern frontend patterns and cloud-native development.

we are looking for a Big Data Software Engineer.
What you'll do:
You will join the Traffic Team, a core engineering team operating at the heart of the company's measurement system.
You will Build and maintain high-throughput streaming systems processing 100B+ daily events.
Tackle performance and optimization challenges that make interview questions actually relevant
Design and implement real-time data processing pipelines using Kafka, Databricks/Spark, and distributed computing
Lead projects end-to-end: design, development, integration, deployment, and production support

we are seeking a Sr Technical Program Manager to drive successful delivery of complex software projects. You'll orchestrate cross-functional collaboration, keep projects on track, and ensure stakeholders stay informed while continuously improving engineering processes. The ideal candidate will be tech and AI savvy, proactive, highly communicative, and a team player and gets things done.
Own end-to-end execution for assigned software projects, understanding business value, critical paths, and milestones
Build and maintain project timelines
Drive project kickoffs and cross-team steering meetings
Manage dependencies across teams and communicate handoffs to external stakeholders
Provide regular written / verbal status updates utilizing automation combined with strategic thinking to provide updates on timing, risk, and action items
Own meeting lifecycle: create agendas, facilitate discussions, capture action items with ownership
Follow up proactively on action items and hold owners accountable
Drive meetings toward clear outcomes, keeping conversations focused
Lead go/no-go meetings with engineering, QA, and product stakeholders
Assess and optimize engineering processes to drive team efficiency
Coach teams on Agile practices and audit scrum ceremonies for continuous improvement
Support and facilitate planning processes

We are seeking a System QA Automation Engineer to drive the validation of our high-performance distributed storage platform, designed for massive AI workloads. In this role, you will architect automation frameworks and tests from the ground up, ensuring seamless integration with the worlds leading orchestration platforms (Kubernetes, OpenShift, OpenStack, Terraform, and vSphere). You will be responsible for defining test strategies, building Python-based tools, and certifying our NFS drivers across a complex matrix of Linux environments.
Key Responsibilities:
Design, develop, and test complex distributed storage products from scratch using Python to interface with storage controllers and orchestration APIs.
Validate storage provisioning, management, and performance within Kubernetes, OpenShift, OpenStack (Cinder/Manila), and VMware vSphere environments.
Lead the testing and certification of NFS drivers (v3/v4) on diverse client operating systems (various Linux distros, Windows Server).

We are looking for a Software Engineer -A new college Grad to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.

Were seeking an outstanding hands-on System Software Engineering Manager with deep knowledge of low-level software design to lead a team of experts, and play a vital role in designing and implementing our firmware, drivers, and runtime components .
If you're passionate about hardware/software interaction and thrive in a collaborative, problem-solving environment - we want you!
Responsibilities:
Lead and mentor a team of 3-5 software engineers
Drive design and implementation of critical components such as our lo-level drivers and system-level software
Collaborate with cross-functional teams, including hardware engineers, to ensure seamless integration of software and hardware components.
Debug and troubleshoot issues at various levels of the software stack, from the host system to the emulator or RTL simulator.
Collaborate with the product management team to understand customer requirements and translate them into software solutions.

Were looking for an experienced SW Team Manager to join our Simulators Team, where you'll lead the design and development of our hardware simulators - functional and performance models that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics.
You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behaviour.
Responsibilities:
Lead & grow a team of experienced engineers
Develop new hardware simulators and continue evolving existing one.
Collaborate with Architecture, VLSI, and Software teams to drive co-design initiatives.
Provide insights that influence chip architecture, compiler optimization, and system-level performance.
Develop tools that drive the chip development cycle.

we are looking for a DevOps Engineer for Embedded & Cyber Systems.
Responsibilities:
Own the design, implementation, and maintenance of DevOps processes in alignment with project requirements and industry best practices.
Implement Infrastructure as Code (IaC), support secure development practices, work with GitOps methodologies, operate in air-gapped environments, develop scripts, and build CI/CD pipelines.
Lead and optimize processes across all stages of the software development lifecycle, leveraging advanced technologies and tools for complex cybersecurity projects in defense systems.
Collaborate closely with development teams and cross-functional stakeholders as part of a multidisciplinary team.