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We're looking for a Fontend Engineer to join our R&D team and spread the power. We are widely recognized for bringing a consumer-grade user experience to the complex world of enterprise security.
You will be responsible for developing the Portal, the unified platform used by security, DevOps, and engineering teams worldwide.
Your mission will be to turn massive-scale cloud data into intuitive, high-performance visualizations and actionable insights.
Responsibilities:
Build with a modern stack: TypeScript, React, GraphQL, Apollo, Tailwind, and more.
Focus on deep frontend expertise: We don't believe in generic "full-stack." You will be the frontend authority, collaborating with backend developers who own the microservices while you own the UI and the API schema definition.
Own the full lifecycle: Drive features from design and architecture through to development, testing, and production monitoring.
Solve complex UI challenges: Build interactive data visualizations and high-performance dashboards that handle large-scale datasets.
Drive technical excellence: Lead code reviews, mentor peers, and make architectural decisions that improve our scalability and developer velocity.

At our company, we believe better decisions compound.
A better attribution model changes where we invest.
Better customer economics change how we grow.
Better measurement unlocks entirely new business models.
As we grow into a group of consumer brands, those decisions become more important - and more complex.
That's why we're hiring this role.
We're looking for someone who can help us build a better business through numbers.
Not by building dashboards.
By helping us answer questions like:
Where should we invest the next dollar?
Are we measuring marketing correctly?
Is our attribution model helping us - or holding us back?
Which customers are far more valuable than we realize?
How should multiple brands change the way we think about LTV?
Should we rethink pricing? Bundles? Subscriptions? Media strategy?
Where is the next $100M hiding?
You'll work directly with the CEO and leadership team on some of the biggest decisions in the company.
What You'll Do
Own the frameworks behind our biggest business decisions.
Lead how we measure growth, marketing performance, customer economics and profitability.
Rethink attribution, incrementality, media measurement and capital allocation.
Identify growth opportunities across products, brands, pricing and customer behavior.
Partner closely with Marketing, Product, Finance and Operations to improve decision-making across the company.
Lead our Business Analytics team, making sure every team has the data, tools and insights they need to make better decisions.
Turn analysis into action.

As a Fullstack Developer, you will be involved in developing and maintaining high-traffic with over 1 billion messages a day and dozens of scalable services, ensuring the fast and reliable operation of our platform. Your tasks will include developing new features, optimizing performance, ensuring data security, and solving complex technical challenges within our microservices architecture, using a combination of Node.js and Java.

Responsibilities
Planning, designing, developing and maintaining high-availability applications that can be high-volume and low-latency.
Define application objectives and functionality.
Ensure application designs conform with business goals.
Support continuous improvement, investigating alternatives and technologies, and presenting for architectural review.
Work in a highly motivated team, closely with Product and Architects teams on large mission-critical systems.
Debug, optimize, and performance-tune your work across the stack.

We're building the next generation of travel technology by harnessing the power of artificial intelligence and large language models. Our new mobile platform will blend cutting-edge AI with innovative user experiences to create an intelligent travel companion unlike anything on the market today. This groundbreaking application will understand travelers' needs, anticipate their requests, and deliver personalized assistance through conversational interfaces and immersive interactions.
Join us at the intersection of AI and mobile excellence, where you'll define new paradigms for how travelers interact with technology.

What Youll Do:
Design and implement innovative UX patterns for conversational interfaces and AI-driven experiences
Architect and develop AI-powered features using Swift
Create intuitive interactions that make complex AI capabilities accessible and delightful for users
Collaborate with AI engineers to translate machine learning capabilities into practical mobile features
Lead the implementation of context-aware features that leverage user behavior and preferences

We are looking for a Senior Software Engineer to join our growing Data Infrastructure team!
The team's main responsibility is developing Voyantis' data platform - from building the microservices and pipelines that onboard customer data into our platform, to the infrastructure and tooling that enables our internal data teams to analyze, transform, process, and collect data independently. Our goal is to build leverage: every feature we ship reduces friction for the teams that depend on our platform. We're looking for a builder who takes full ownership from inception to production, cares deeply about quality and performance, and leverages AI tools to move faster and deliver better outcomes.
Responsibilities:
Design and implement scalable, production-grade data pipelines and microservices that ingest, transform, and move data from a wide variety of customer sources at high volume.
Build and maintain high-performance backend services and APIs that interface with our data ecosystem, ensuring reliability, low latency, and security.
Develop and evolve the platform infrastructure - data warehouse, orchestration, compute - that internal data teams rely on daily.
Identify opportunities to automate recurring workflows and turn ad-hoc needs into robust, self-serve platform capabilities.
Collaborate with data scientists, analysts, and engineers across R&D to translate requirements into platform features.
Drive code quality through design reviews, code reviews, and adherence to engineering best practices.
Leverage AI tools throughout the full engineering cycle - from scoping and design to implementation and debugging - to deliver faster, higher-quality outcomes.

We are in search of a detail-oriented and analytical Senior Product Analyst to join our growth team . You are a product thinker who uses data to advocate for our users. In this role, you will sit at the intersection of Product, Engineering, and Design, transforming raw behavioral data into a narrative that shapes our roadmap. The successful candidate will have a minimum of 5 years of dedicated experience in data analysis and a proven track record of turning data into actionable insights in a B2C SaaS environment.

What You'll Do:
Master the User Journey: Map complex B2C user journeys to identify friction points. Youll go beyond the "what" to uncover the "why" behind user behavior.
Build the Data Foundation: Design and maintain "reporting-grade" data models in dbt, ensuring our BI layer is the single source of truth for product health and business use.
Optimize Growth: Design, build, and monitor funnels and A/B tests at scale to optimize performance and conversion.
Influence the Roadmap: Analyze data to identify trends and insights that directly influence product decisions and business strategy.
Foster Independent Discovery: Build and scale intuitive data tools and self-service environments that encourage independent behavior among business users, reducing the need for constant manual support.
Consultative Partnership: Provide business expertise and guidance on how to leverage data analytics and reporting within the organization.
Ad-hoc & Statistical Analysis: Support the business with ad-hoc analytics and apply statistical techniques to discover new business opportunities.

You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.

What Youll Do
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

Were looking for a Senior Backend Engineer to join our R&D team and lead the development of our core backend systems. You will design and scale the services that ingest, analyze, and correlate massive amounts of data from cloud environments. This work is central to our companys platform and directly impacts our real-time detection, insight generation, and customer experience.
About the role
Youll design, build, and optimize backend services and microservices that operate at scale and power our companys core functionality.
Youll architect and implement data ingestion and processing pipelines capable of handling high-throughput, high-variance data.
Youll develop systems that detect anomalies, correlate contextual signals, and generate actionable insights for customers.
Youll drive architectural decisions, contribute to long-term system design, and own your services all the way to production.
Youll ensure the platform is resilient, secure, observable, and performant as usage grows.
Youll participate in cross-team design reviews, technical planning, and initiatives to advance engineering standards.
As a key contributor in a high-velocity startup environment, youll influence internal best practices and help shape product direction.

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.

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.

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're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at our company.
About This Role:
we are the world's first vertically integrated, sustainable AI cloud. We build and operate GPU infrastructure powered by clean energy, from data center design through IaaS products to managed inference at scale, enabling AI-native companies to run demanding workloads without compromising on sustainability or reliability. our company Cloud is 1,400 people and growing, and the TPM frameworks are still being built -- which means there is a genuine opportunity to shape how the function operates rather than inherit how it already works.
The Managed Inference platform is where customers run production LLM workloads without managing low-level infrastructure, and it is one of our company's fastest-growing product areas. The Staff TPM for Managed Intelligence connects model engineering, IaaS, product, and data center operations to deliver a reliable, scalable inference platform. You will own end-to-end program delivery across multi-quarter roadmaps, model onboarding, inference optimization, and production readiness for new model versions. Deep familiarity with the model layer -- including how LLMs are served, optimized, and evaluated in production -- is essential to being effective in this role.
What You'll Be Working On:
End-to-end program delivery: Own multi-quarter release planning, dependency governance, and executive communication across the Managed Inference platform.
Complex, high-risk program management: Drive model version rollouts, inference optimization campaigns, SLA readiness for new GPU hardware, and multi-tenant capacity planning from kickoff through delivery.
Cross-functional alignment: Coordinate across Model Engineering, IaaS, Cloud Foundations, Data Center Operations, and external model providers to keep programs on track and unblocked.
Proactive risk identification: Surface risks across model serving, reliability, capacity constraints, and vendor timelines before they become program-level problems.
Execution frameworks and dashboards: Build lightweight, scalable TPM frameworks suited to our company's pace; maintain real-time execution dashboards and deliver crisp, data-driven executive updates.
Phase 0 planning for model onboarding: Own pre-launch planning for model onboarding on new GPU generations, including firmware and driver readiness, CUDA and ROCm stack validation, and commissioning criteria for inference workloads.
Stakeholder leadership: Drive alignment and push back effectively across engineering, product, and operations leadership -- including highly technical stakeholders who have not previously worked with a TPM.