• Take ownership of the full software development lifecycle, from designing and building robust solutions to deploying and monitoring them in production • Tackle complex technical challenges with a high degree of autonomy, bringing innovative and "outside-the-box" solutions to the team • Collaborate closely with your squad to define technical requirements and architect scalable, high-performance systems • Write clean, well-tested code in our primary stack, while also maintaining and modernizing our legacy applications • Instill a culture of strong ownership and accountability for the software you build • Be a champion for the customer experience, ensuring that every technical decision you make has a positive impact on the end user • Understand the critical role of monitoring and observability and ensure our applications are well-instrumented

• Design and evolve high-performance, scalable software architectures that act as a force multiplier for engineering teams. • Lead the breakdown and delivery of large, complex technical initiatives into clear, achievable milestones. • Provide deep technical leadership across system architecture, raising the overall technical bar of the team. • Act as a go-to technical authority across multiple codebases, languages, and domains. • Own the delivery of major projects end-to-end, driving progress, unblocking teams, and ensuring meaningful outcomes. • Establish and improve engineering and organisational processes to solve recurring delivery and collaboration challenges. • Support and develop engineers through coaching, performance management, and targeted growth plans. • Model and promote clear communication, alignment, and effective cross-team collaboration.

• Lead the design, development, and deployment of enterprise AI/ML solutions • Collaborate with business and engineering teams to define and prioritize AI projects • Drive rapid proof-of-concept development for AI initiatives • Mentor your team and foster continuous learning • Take ownership of ML projects with state-of-the-art solutions • Research and design new solutions and complex architectures • Proactively propose new tools, solutions, and methodologies • Ensure project scalability and robustness • Manage cross-team communication and planning • Participate in team hiring

• Designing and building multi-agent systems in TypeScript, including a primary orchestration agent and specialized sub-agents • Architecting agent workflows that interpret user intent, plan multi-step edits, and execute them across a video timeline • Building the interface layer between agents and the video editor, enabling agents to read project state, issue commands, and observe results in real time • Developing agent capabilities for scene composition, visual generation, timing adjustments, effects, and compositing • Implementing plan-and-execute loops, recovery strategies, and feedback mechanisms for reliable autonomous editing • Creating memory and context systems that allow agents to reason about project state, user preferences, and editing history • Working closely with founders to shape both the product vision and the technical foundations of the platform