Air Apps

QA Engineer

• Design and execute tests for backend systems, including APIs, databases, and service integrations.
• Validate API functionality and performance using tools such as Postman, Swagger, or similar platforms.
• Test and verify database operations, queries, and data integrity in systems using PostgreSQL or similar relational databases.
• Collaborate with engineering teams to review pull requests, ensuring code quality and test coverage.
• Support the development and maintenance of automated tests for backend services.
• Participate in reviewing backend infrastructure and identifying potential reliability or performance issues.
• Document and track defects, test cases, and test results using test management tools such as TestRail or similar systems.
• Work closely with developers and product teams to improve testing strategies and overall product quality.

Backend QA Engineer

Backend Engineer

• API & Service Architecture - Design and build RESTful or GraphQL APIs, microservices, and business logic using Node.js and TypeScript.
• Database Design & Integration - Model data and manage queries using Supabase and PostgreSQL, including functions, row-level security, and real-time features.
• Cloud Infrastructure - Deploy and manage services on Google Cloud Platform (GCP), particularly with Cloud Run, Cloud Functions, IAM, and Pub/Sub.
• Code Quality & Testing - Write clean, testable code using unit, integration, and end-to-end testing frameworks (e.g., Jest). Contribute to code reviews and quality assurance practices.
• Security & Reliability - Implement secure-by-default solutions for authentication, authorization, and data protection, following Clean Code and Clean Architecture principles.
• Monitoring & Operations - Set up logging, monitoring, and alerting for backend services. Own incident response and uptime improvements.
• Team Collaboration - Participate in architecture discussions, mentor team members, and document your decisions and systems for internal knowledge sharing.

• Design and build RESTful or GraphQL APIs, microservices, and business logic using Node.js and TypeScript.
• Model data and manage queries using Supabase and PostgreSQL, including functions, row-level security, and real-time features.
• Deploy and manage services on Google Cloud Platform (GCP), particularly with Cloud Run, Cloud Functions, IAM, and Pub/Sub.
• Write clean, testable code using unit, integration, and end-to-end testing frameworks (e.g., Jest). Contribute to code reviews and quality assurance practices.
• Implement secure-by-default solutions for authentication, authorization, and data protection, following Clean Code and Clean Architecture principles.
• Set up logging, monitoring, and alerting for backend services. Own incident response and uptime improvements.
• Participate in architecture discussions, mentor team members, and document your decisions and systems for internal knowledge sharing.

Product Manager

• Define and drive the AI product roadmap, ensuring alignment with business objectives and user needs.
• Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.
• Conduct market research and analyze user feedback to identify opportunities for AI integration.
• Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.
• Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.
• Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.
• Ensure ethical AI usage and compliance with data privacy regulations.

AI Product Manager

Machine Learning Engineer

• Develop, train, and optimize machine learning models for various mobile app features.
• Research and implement state-of-the-art AI techniques to improve user engagement and app performance.
• Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.
• Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.
• Analyze large datasets to derive insights and drive data-driven decision-making.
• Stay updated with the latest AI trends and best practices, incorporating them into our development processes.
• Optimize AI models for mobile environments to ensure high performance and low latency.

AI/ML Engineer

Video Editor

• Concept & Scripting: Collaborate with Marketing, Creative, and Product teams to develop compelling video concepts, write scripts, and create storyboards that align with brand guidelines and objectives.
• Production Management: Oversee all aspects of video production, including hiring and directing crews, sourcing talent, managing sets and locations, and ensuring necessary equipment is available.
• Post-Production Oversight: Guide the editing process, including color grading, sound design, and motion graphics, to deliver polished and engaging video content.
• Platform Optimization: Ensure video assets are optimized for various platforms such as social media, web, and in-app content while maintaining consistent production quality.
• Quality Control & Budgeting: Maintain brand standards, adhere to deadlines, and ensure video production stays within budget constraints.

Video Producer

Growth Marketing

• Develop and execute multi-channel user acquisition strategies, including paid search, paid social, display ads, influencer marketing, and referral programs.
• Set up, monitor, and optimize advertising campaigns for maximum ROI, managing budgets, bids, and targeting parameters.
• Track key performance metrics (CPI, CPA, LTV) using analytics and attribution tools, and provide actionable insights to stakeholders.
• Continuously test new channels, creatives, and messaging to identify areas of improvement and drive incremental growth.
• Work with Product, Analytics, and Creative teams to align acquisition strategies with product launches, feature enhancements, and seasonal promotions.

User Acquisition Specialist

Operations

• Coordinate and monitor daily operational tasks.
• Support project execution by updating and managing task tracking systems - particularly Jira - with a high level of precision.
• Ensure timely follow-ups, task closures, and status updates.
• Organize and maintain documentation, dashboards, and workflows.
• Assist in preparing reports, dashboards, and presentations for internal stakeholders.
• Flag potential blockers or delays and communicate proactively to resolve issues.
• Identify opportunities to streamline operations or improve coordination processes.

Technical Operations Coordinator

System Administrator

• Manage and maintain corporate IT infrastructure, including SaaS applications, cloud services, and internal systems.
• Oversee user access, account provisioning, and identity management across platforms (Google Workspace, Okta, Azure AD, etc.).
• Ensure network security, endpoint protection, and data encryption policies are in place.
• Monitor and optimize hardware and software performance, troubleshooting issues as needed.
• Implement and enforce IT security best practices, including multi-factor authentication (MFA) and role-based access control (RBAC).
• Maintain and support company-wide SaaS tools (Slack, Zoom, Notion, Atlassian, etc.).
• Assist in onboarding and offboarding employees by setting up and deactivating accounts.
• Automate IT operations, workflows, and system monitoring to improve efficiency.
• Maintain software licenses, compliance requirements, and IT documentation.
• Provide technical support and training to employees, ensuring smooth system usage.

Full-stack Engineer

• Define and lead the mobile architecture strategy, ensuring a scalable and maintainable foundation across projects.
• Focus primarily on iOS architecture, libraries, and platform-specific patterns, while maintaining an understanding of Android frameworks.
• Collaborate with engineers, designers, and product managers to ensure architectural decisions align with product goals and user experience.
• Establish and enforce coding standards, design patterns, and performance guidelines.
• Lead architectural reviews and provide guidance on refactoring and scaling existing mobile applications.
• Design APIs, SDKs, and modular components that can be reused across teams.
• Guide decisions around third-party libraries, mobile tooling, and build/deployment pipelines.
• Partner with backend and cloud teams to ensure seamless integration between mobile apps and services.
• Stay current with the latest trends and best practices in mobile architecture, performance, and security.
• Mentor mobile engineers and help elevate the team’s technical proficiency.

Air Apps

Backend QA Engineer

Backend Engineer

Backend Engineer

Backend Engineer

AI Product Manager

AI Product Manager

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

Video Producer

User Acquisition Specialist

Technical Operations Coordinator

System Administrator

Software Architect – Mobile

Software Architect – Mobile