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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.

Were looking for an experienced Product Designer with strong craft, a data-driven instinct, and a genuine curiosity for how things work. This is an end-to-end role from discovery to delivery, on a product that handles peoples money and trust.

Why this role is different:
Youre joining a design team that is genuinely rethinking how it works with AI, and already putting it into practice.
Youll work in a real feedback culture with short loops between design, product, and leadership. A manager who runs 1:1s focused on your growth and expects you to drive it yourself.

Responsibilities
Lead the full design process: discovery, research, prototyping, testing, final design.
Use AI tools actively across your work, research synthesis, ideation, prototyping, workflow automation. Build on what exists and bring new approaches to the team.
Help shape AI-driven product features in a super-app that is actively integrating AI into the user experience.
Conduct hands-on research: user interviews, usability tests, digging into data and analytics.
Contribute to and help evolve the design system shared across Viber products.
Stay connected to the bigger picture, how design decisions tie into product KPIs and business outcomes.

we are looking for a hands-on wireless systems engineer to lead the development of a multi-RAT digital twin for our Open RAN solution. The digital twin will execute production RAN software-beginning with scheduler and MAC behavior-in a closed loop with PHY, channel, UE, traffic, and network models. It will allow engineering teams to design, evaluate, and compare features for LTE, 5G NR, and 2G without requiring a dedicated physical radio setup for every development cycle.
This is a senior individual-contributor role at the intersection of wireless systems, simulation, production software, and AI/ML. You will evolve an existing LTE end-to-end simulator into a scalable engineering platform for feature development, regression testing, performance optimization, and evidence-based pre-validation. Initial use cases include MAC scheduler and link-adaptation improvements, power control, mobility and interference scenarios, and neural-network-assisted channel estimation.
The successful candidate will understand that a useful digital twin must be both fast and trustworthy. You will define multiple fidelity levels-from rapid surrogate models to full PHY processing-and establish repeatable methods for calibrating the twin against lab or field reference data. The goal is to reduce dependence on continuous lab access while maintaining clear, measurable confidence in the simulation results.

As a Social Media Manager, youll join our global creative marketing team, shaping how millions of users experience the brand every day. Youll lead our presence across social platforms, crafting strategies and campaigns that inspire engagement, strengthen community, and amplify our voice worldwide. Working closely with marketing, design, and performance teams, and while leveraging AI capabilities, youll help transform ideas into engaging content that resonates with audiences worldwide

Responsibilities
Develop and own global social strategies (organic + paid) aligned with business goals.
Plan, create, and publish content across diverse social channels.
Lead creative campaigns and activations - launches, special events, brand initiatives, UGC.
Collaborate with design, marketing, and performance teams to ensure cohesive storytelling.
Engage and grow online communities through authentic interaction.
Monitor performance, analyze insights, and optimize content for growth.
Manage partnerships with stakeholders, creators, and influencers.
Stay ahead of social trends, algorithms, and emerging platforms.

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're a rapidly growing, dynamic company pushing the boundaries of what's possible, empowering businesses with intelligent and intuitive tools. We are seeking a highly talented and creatively driven Marketing Designer to join our dynamic Studio within the Growth Group, reporting directly to the Head of Design.

What You'll Do:

Lead design for conversion funnels, collaborating closely with the CRO team and marketing managers to optimize landing pages, microsites, and digital experiences. This includes applying advanced UX principles, A/B testing insights, and mobile-first design thinking to maximize lead generation and conversion rates.
Design and deliver a high volume of digital static ads weekly for various performance marketing channels, ensuring brand consistency, compelling visuals, and campaign effectiveness.
Provide creative design support to the video team, especially for motion graphics and animated assets, helping conceptualize and develop visually compelling elements for video content.
Uphold and evolve Navan's brand identity across all digital touchpoints, ensuring visual consistency and elevating our brand perception.
Leverage market research and stay current with AI trends and design best practices to bring innovative ideas and concepts to life.
Create mockups and prototypes in Figma to visualize design ideas, facilitate feedback, and ensure optimal user experience.

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.

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.