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We are looking for a powerhouse Senior Software Engineer to join our founding R&D.
You arent just a developer; you are a core architect of our vision.
You will be responsible for building the infrastructure that secures the next generation of AI agents and SaaS ecosystems.
This is a high-impact role where you will own features from the initial napkin sketch through to production. Youll be working with a massive data scale, complex security integrations, and a cutting-edge stack.
What Youll Do:
End-to-End Ownership: Design, develop, and deploy mission-critical features across our entire stack (from React frontends to Spark data pipelines and K8s-orchestrated microservices).
Scale for AI Security: Build and optimize high-performance data systems capable of processing vast amounts of security telemetry using Clickhouse, Iceberg, and Spark.
Architect for Growth: Help define our system architecture as we scale from a small team to a large R&D organization.
Collaborate & Mentor: Work closely with the product team, to translate business needs into technical reality, while mentoring future hires as the team grows.

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 an ambitious Team Leader and software engineer for our endpoint core engines platform team.
The team is responsible for advanced technologies across all our supported platforms - Mac, Linux, Windows and also owns our agent build and infrastructure.
This team delivers effective business logic, enhancements for the engines in our system, and infrastructure code that implements our long term architecture on the agent.
In This Position You Will:
Manage a team of C++ engineers that own our core technologies in the endpoint agent
Own high-performance and critical-path code for sensitive engines in production under Linux, Mac and Windows
Deliver high quality code and results on requirements provided by product management and the field
Collaborate with various teams and stakeholders across the organization (R&D, Support, Operations, product, etc.)
Participate in customer and support calls as the technical authority
Get familiar with real customer challenges and gain a deep understanding of the balance between delivery velocity, security value and performance
Work in agile and scrum methodologies and conduct sprint ceremonies: daily meetings, planning, retrospective and demos.
Conduct performance review to the team members and recruit new team members.

we are looking for a Payroll Controller for a part-time position (approximately 60%) , to join our talented and dynamic finance team. If you are a highly motivated and skilled team player who thrives on leading processes from start to finish and wants to be part of a fast-growing company with a strong and collaborative team - wed love to hear from you!
Objectives of this Role
Manage end-to-end payroll administration in an accurate and timely manner.
Handle onboarding and offboarding processes, including creating new employee records and processing termination paperwork in compliance with local regulations.
Ensure compliance with local labor laws, tax regulations, and social benefits requirements.
Prepare payroll-related reports, including 102 and 106 forms, and assist with payroll accruals and account reconciliations.
Collaborate with pension agents and manage employee social funds, tax, and national insurance deductions.
Maintain a high level of service, confidentiality, and accuracy in all payroll-related activities.

We are seeking a highly skilled OS Internals Team Lead to lead a group of talented developers in building cutting-edge, low-level system solutions across multiple platforms.
Key Responsibilities:
Lead and mentor a team of 5 developers, ensuring high-quality deliverables and professional growth.
Design, develop, and optimize system-level components for Windows and/or Linux.
Collaborate with cross-functional teams on system architecture, networking, and security challenges.
Drive innovation in offensive and defensive security methodologies.
Conduct in-depth research into the malware and threat landscape to develop advanced countermeasures.
Oversee driver development and integration across multiple platforms.

We are looking for a highly technical and creative User Comms Manager to lead our communication strategy across the entire user journey. Sitting within the Marketing team and working hand-in-hand with Product, you will own how we talk to our users-from the moment they discover AI to when they become power users.
This is a unique position at the intersection of Marketing, Product, Engineering, and AI. You won't just be writing copy; you will be the architect of our CRM ecosystem, building AI-driven flows that deliver deeply personalized messages based on a users specific lifecycle state. You are a self-starter who blends analytical rigor with a sharp eye for creative copy.
What Youll Do:
End-to-End Lifecycle Comms: Own the strategy and execution of all user communications across acquisition, activation, retention, and re-engagement channels.
CRM Architecture: Act as the power user and admin for our CRM stack (e.g., Braze, Customer.io), ensuring data is flowing correctly and journeys are optimized.
Technical Stack Management: Partner closely with Product and Engineering teams to manage and optimize our communication infrastructure and delivery tools.
AI-Personalized Messaging: Collaborate with AI teams to design and deploy automated flows that generate personalized messages tailored to each user's unique behavior and journey stage.
Experimentation & Optimization: Lead an aggressive A/B testing roadmap to improve key business metrics, including profitability, conversion rates, and long-term retention.

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 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.