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As a Creative Brand & Motion Designer, youll join our global creative marketing team, crafting high‑impact videos and motion assets for user acquisition, branding, social media, and more. Youll collaborate with teams across regions and see your work resonate with millions of users worldwide.

From concept and storyboarding to final production, youll be using your proven expertise with cutting‑edge AI tools and leading design platforms to deliver innovative, on‑brand visuals that shape a product experienced by a massive international audience every day.

Please note - applications must include a portfolio!

Responsibilities

Brand Expertise
Maintain design consistency across all channels
Collaborate with cross‑functional teams to reflect brand identity and tone in every asset
Elevate our brands look & feel through static and motion systems and dynamic storytelling

Design & Motion
Conceptualize, design, and animate brand collateral for CRM, acquisition, and product launches-ads, banners, explainer videos, UI motion, social campaigns, and more.
Transform static assets into dynamic, high‑impact motion deliverables.
Bring fresh creative ideas to campaigns throughout the year.

Generative AI Expertise
Already proficient with top AI tools such as Runway, VEO‑3, Weavy, Midjourney, ChatGPT or others-using them to ideate, script, prototype, and produce.
Seamlessly integrate AI workflows into daily production to accelerate output and inspire new visuals.
Stay curious and experiment with emerging tools to keep our creative edge.

Production & Workflow
Deliver assets efficiently while upholding brand standards and creative excellence.
Manage multiple projects simultaneously with strong attention to detail.
Create and refine reusable motion and design systems to enable faster future production.
Clearly communicate ideas, progress, and deliverables to stakeholders for smooth workflows and timely results.

We are looking for a Senior Product Manager, Hotels for our Edge team in Tel Aviv. Your mission is to build the next generation of hotel booking: a high-converting, personalized agentic experience that helps frequent business travelers find and book the right hotel with less effort.
You wont just own hotel data or funnel metrics; youll design the intelligent conversation hotel experience behind Navan Edge, where AI understands traveler intent, applies personal preferences, compares options, explains trade-offs, and guides users from search to booking with confidence.

What Youll Do:

* Own the Hotels Product Experience: Lead the full hotel journey, from destination intent and search to hotel details, room selection, checkout, confirmation, and post-booking engagement.
* Design Agentic Hotel Experiences: Build AI-driven workflows that help users search, compare, decide, and book hotels through a mix of conversation, recommendations, proactive suggestions, and UI components.
* Drive Hotel Funnel Conversion: Identify friction points across the hotel funnel and define the roadmap to improve search-to-booking, availability-to-checkout, checkout completion, and repeat booking rates.
* Improve Search, Ranking, and Personalization: Partner with AI, data, and engineering teams to improve hotel ranking, filters, recommendations, availability logic, and why this hotel explanations based on traveler intent, loyalty, price, amenities, business schedule, and past preferences.
* Lead Experimentation: Design and run A/B tests across search results, hotel detail pages, room selection, checkout, rewards messaging, onboarding flows, and AI-assisted booking experiences.
* Connect Hotels to the Full Trip Experience: Work across flights, restaurants, itinerary, calendar, Gmail sync, and proactive travel use cases to make hotels feel like part of one seamless business travel journey.

We are looking for a Senior Director, Fraud Prevention & Platform Integrity to continue evolving our fraud prevention and platform protection strategy. This is a senior leadership role for someone who can take an existing foundation and scale it into a broader, more strategic capability as we continue to grow its consumer, business and fintech ecosystems.

The role will lead the strategy, operating model and execution for protecting our users, revenue, fintech flows, business ecosystem and platform trust from fraud, abuse, phishing, account takeover, scams, financial crime and emerging threats.

Responsibilities
Continue evolving our fraud prevention and platform integrity strategy across fintech, payments, business messaging, subscriptions, partner ecosystems and platform abuse scenarios.
Lead and mature the operating model for fraud prevention, AML risk signals, financial-crime controls, investigations, escalation, measurement and response.
Own the strategy for detecting and reducing payment fraud, scams, account abuse, phishing, account takeover, suspicious behavior and other emerging risk patterns.
Build on an already high-performing platform integrity function and take it to the next level by scaling trust operations, abuse prevention, account integrity, investigation workflows, and enforcement quality across our global ecosystem
Partner with Product, Engineering, Data, Security, Legal, Compliance, Finance, Support and business teams to align risk strategy with company priorities.
Define requirements for detection systems, risk signals, rules, models, dashboards, case queues, analyst tooling and feedback loops, while working closely with engineering teams that build and operate the platforms.
Use data, automation and AI-enabled workflows to improve investigation speed, detection quality, analyst productivity and operational scalability.
Lead, mentor and develop a team of analysts, researchers and domain experts.
Build executive visibility into key risks, including fraud exposure, prevented loss, financial-crime risk, platform abuse trends, enforcement quality, false positives and response effectiveness.
Represent the function in senior leadership discussions and translate complex fraud, AML and integrity topics into clear business decisions and priorities.

Were looking for a highly motivated and versatile Security Researcher who thrives on exploring cutting-edge technologies, analyzing security trends, and building innovative solutions to safeguard our customers. You are a natural problem solver, a fast learner, and passionate about staying ahead of the curve in cybersecurity.
About the role
Evaluating Security Threats and Vulnerabilities
Evaluate and analyze emerging threats, vulnerabilities, and attack vectors to identify risks to applications and systems.
Work with users, partners, colleagues, and experts to understand security challenges, technology trends, competition, and industry developments.
Articulate security risk hypotheses and construct compelling cases for mitigation strategies.
Conducting Technological and Security Research
Analyze, research, and deep-dive into security technologies, tools, and products, both existing and emerging, to understand their potential impact.
Identify innovative ways to utilize these technologies to strengthen security measures and protect against user threats.
Developing Security Tools and Prototypes
Rapidly build prototypes, proof-of-concepts (POCs), and tools to test security hypotheses, demonstrate feasibility, and evaluate solutions.
Collaborate on creating internal tools for detecting vulnerabilities and improving application security posture.
Collaborating with R&D
Partner with product owners, engineers, and function leaders to integrate security measures and ensure alignment with company goals.
Lead multi-disciplinary teams and joint task forces to address critical security challenges and implement innovative solutions.
Communicating Security Insights
Clearly articulate security visions, risks, and mitigation strategies to stakeholders and leadership.
Evangelize security initiatives and share findings through internal documentation, external blogs, webinars, and industry conferences.

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.