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About the position
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.

The Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

The Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

The Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

We are looking for an experienced individual to join a team that is responsible for developing our cutting-edge collection, prevention and protection technologies using both documented and undocumented proprietary kernel mode techniques.
The tam develops the core kernel technologies for a wide variety of products, from EDR to next-gen AV, including work that encompasses many aspects of kernel development, from infrastructure through filter drivers to function hooking, to name a few.
In this position you will:
Write kernel software that can reach the depths of the operating system.
Implement novel collection and protection techniques.
Write robust driver infrastructure.
Optimize for extreme performance constraints.
Research uncharted territories of the Windows kernel, drivers, APIs, and internal mechanisms.

We are looking for a bright, highly motivated Junior Software Engineer to join our core R&D team. You will work directly with veteran engineers and founders, gaining hands-on experience across our entire cutting-edge stack. This is an accelerated growth opportunity where you will contribute to the infrastructure securing the next generation of AI agents and SaaS ecosystems.
What Youll Do:
Feature Execution: Work across the full stack (React, Python, Go) to build and ship features that solve real-world security problems.
Data at Scale: Assist in developing and maintaining high-performance data pipelines using Spark, Iceberg, and Clickhouse.
Infrastructure & DevOps: Get hands-on experience with modern cloud infrastructure, learning to deploy and monitor services on AWS and Kubernetes.
Quality & Excellence: Write clean, maintainable code and participate in deep-dive code reviews to ensure our platform remains robust and scalable.
Rapid Learning: Quickly master new technologies and security domains, moving from guided tasks to independent ownership of components.

We are looking for an exceptional Graduate Software Engineer to join our founding R&D team. This is a rare opportunity for a talented individual with zero professional experience to start their career in a high-growth startup environment.
You will be working with veteran engineers to build the infrastructure that secures the next generation of AI agents. We are looking for the engineers of tomorrow-those who have the theoretical depth to understand complex systems and the drive to learn a massive, cutting-edge tech stack from scratch.
What Youll Do:
Deep-dive into our tech stack (Python, Go, React, Spark, K8s) through hands-on tasks and self-learning.
Take responsibility for sub-features and components, moving from development to production deployment on AWS.
Learn to work with massive data scales, helping to optimize our pipelines using Spark and Clickhouse.
Learn the Wing Way of engineering-writing clean, tested, and performant code that stands up to the rigors of cybersecurity.
Investigate bugs and performance bottlenecks, applying your academic knowledge of algorithms and systems to real-world challenges.

we are seeking a Senior AI Researcher Reporting to CEO .
This role is pivotal , aimed at addressing some of the AI industry's most complex challenges. Senior AI Researcher will act as a versatile 'joker card' within the R&D, stepping in to expedite projects, solve bottlenecks, and provide specialized expertise as needed.
This role is designed to minimize latency and accelerate outcomes across various technical domains within the company. The ideal candidate will have strong technical expertise, excellent coding skills, and the ability to solve problems effectively.
The role doesn't include managerial responsibilities but does involve close collaboration with internal teams and the capability to inspire and guide staff. As a professional authority within our teams, the Technology Director will improve quality and speed up problem resolution. Adeptness in analyzing complex issues quickly, switching contexts when needed, and fostering a culture of growth and technical excellence is also desired

we are looking for a Senior Autonomous Driving Software Engineer
As a Senior Software Engineer, you will design, develop, and integrate core infrastructure components that power our perception and planning pipelines. Your work will ensure seamless collaboration between hardware, algorithms, and platform modules - delivering production-grade software that runs in real autonomous vehicles.
Responsibilities:
Design and develop infrastructure components to be used across multiple application groups.
Develop and maintain production-grade code for deployment on real vehicles.
Profile, debug, and optimize platform infrastructure modules for performance and reliability.
Integrate software components with hardware and other software modules to ensure seamless system operation.
Work closely with cross-functional teams (hardware, algorithms, and verification) to ensure system-level functionality.
Create and maintain clear technical documentation, including design specifications and system integration details.
Support thorough testing and validation in collaboration with verification engineers.

We are looking for a Software Algorithm Engineer to design, implement, and maintain robust algorithmic systems in production environments.
This role focuses on high-quality software engineering combined with algorithmic thinking, working on real-world data at scale.
The position requires end-to-end ownership - from problem definition and algorithm design to production-grade software, deployment, and long-term maintenance.
The main task is to contribute to the software infrastructure that enables autonomous driving, from perception to planning.

We are redefining the travel industry with a truly autonomous platform powered by proprietary Agentic AI. As an Automation Engineer, youll play an essential part in building and scaling the testing infrastructure that validates our mission-critical AI workflows. This is a high-scale environment where you will use Cypress to solve unique challenges in autonomous decision-making, collaborating globally to deliver a platform trusted by major enterprises.
What Youll Do:
Architect the Cypress E2E Framework: Design, build, and scale a robust, high-performance end-to-end automation framework using Cypress to validate our core web application workflows, ensuring the complex UI accurately reflects the autonomous decisions made by our AI agents.
Validate Autonomous Logic via the UI: Develop sophisticated test harnesses within Cypress that interact with the application and perform data validation (e.g., intercepting network requests) to verify the intricate decision-making, cost optimization, and safety constraints of our self-governing AI agents.
Drive CI/CD Velocity: Take ownership of the testing lifecycle by integrating fast-running, automated Cypress tests directly into our CI/CD pipelines, serving as the final, reliable gate that allows the engineering team to deploy multiple times daily with zero functional regressions.
Performance and API Testing: Utilize Cypress's capabilities for API-level testing to quickly validate backend microservices, augmenting UI tests where necessary to maintain speed and reliability.
Contribute to Engineering Culture: Champion best practices in testability, reliability, observability, and code coverage, mentoring fellow engineers and fostering a culture of technical excellence across the platform.
Solve Unique Problems: Apply deep technical expertise and creativity to address novel testing challenges related to LLMs, such as ensuring the AI-generated UI flows are robust and predictable.

As an AI Engineer, youll build full-stack features that deliver seamless user experiences - combining robust engineering with advanced AI capabilities.

Responsibilities:
Design and deploy agent-based systems for real-world use cases.
Build end-to-end features: backend APIs, data models, and React-based UI.
Integrate AI and agentic logic into the core product.
Develop backend pipelines for autonomous agents and workflow automation
Optimize model accuracy, reliability, and performance.
Work closely with product, data, and UX teams to align AI with business and user needs.

The Solutions Architect is a senior software engineer that will build the architecture of solutions for our customers. The Solutions Architect will be working hand-in-hand with Sales Engineers and enterprise customers to design smart, scalable automation architectures. This role is about connecting deep technical understanding with business insights, crafting solutions that deliver value to the customer while keeping development efficiency and long-term maintainability.

Your responsibilities:
Join enterprise sales conversations to understand customer requirements in depth technically and strategically.
Design our Ops-based architectures that align with customer needs, optimize delivery effort, and minimize future maintenance risks.
Collaborate closely with Sales Engineers, AEs, and internal stakeholders to drive agreement around the best solution design.
Lead architecture deep dives, solution validation sessions, and POCs when necessary.
Serve as a technical advisor during SOW creation, including effort estimation and design clarity.
Maintain expert-level knowledge of the company`s platform and upcoming roadmap capabilities.
Create reusable design assets (reference architectures, design patterns, best practices) to accelerate future engagements.
Act as a thought partner to Product and Engineering by providing structured feedback on recurring needs or gaps seen in the field.

Join us as Platform Team Lead and take full ownership of the platform layer powering our AI-based, high-scale product. Youll lead a team of talented engineers, own strategy and architecture, and stay hands-on with critical design and development. This is a key leadership role where you'll shape the infrastructure, services, and tooling that drive everything we build.

Your responsibilities:
Define and evolve the long-term vision for Blinks application platform, translating product ambitions into a clear technical roadmap.
Lead, mentor, and grow a high-performing engineering team that values craftsmanship, autonomy, and rapid delivery.
Own key infrastructure components, ensuring performance, scalability, and security.
Partner closely with DevOps, Product, and peer engineering teams to ensure the platform scales gracefully as usage and feature complexity surge.
Foster a culture of continuous improvement, ownership, and innovation across the broader R&D organization.

We are looking for a DevOps Engineer to lead Observability and Continuous FinOps as core platform capabilities at our company.This is a hands-on platform role. You will own the systems, automation, and operating models that give engineers and leadership deep visibility into system health and cloud spend. You are a DevOps engineer first, with primary ownership over observability and cloud financial management.
What Youll Do
Own and operate our companys observability platform, including metrics, logs, traces, and alerting
Build observability-as-code and self-service tooling for development teams
Define and implement observability standards such as SLIs, SLOs, error budgets, and service health models
Lead our companys Continuous FinOps practice together with Engineering and Finance
Build and maintain cost dashboards, alerts, anomaly detection, and forecasting
Provide clear unit-economics and cost allocation across teams, services, and environments
Drive cloud cost optimization initiatives across compute, storage, and managed services
Build and maintain cloud infrastructure, CI/CD pipelines, and infrastructure-as-code
Partner closely with Engineering, Platform, and Finance stakeholders.