• Work with the CEO to define and lead product execution strategy for multiple areas of products and platforms. • Build and lead a team of engineers during our period of growth while forging tight partnerships with cross-functional leaders. • Demonstrate an ability to structure an organization and optimize it for execution, including attracting and hiring top-tier talent and filling out gaps in the existing team quickly to accommodate growth. • Manage from the front, prioritize, and drive the bigger mission forward by translating vision into results. • Manage, mentor, and grow the existing team members. • Build and lead an organization that is customer centric with a focus on decisive, fast-moving solutions, quick and constructive resolutions to conflicts, and a “no barriers” mentality. • Serve as an evangelist for the team and overall culture, both internally and externally. • Define and analyze metrics that inform the success of products. • Understand Jarvis ML’s strategic and competitive position and deliver products that are recognized best in the industry.

• Design and develop end-to-end product features across frontend and backend systems • Build real-time, interactive experiences including virtual rooms, avatars, live presence, and synchronized user state • Translate product requirements and PRDs into scalable, production-ready technical solutions • Develop modern, responsive user interfaces using React and TypeScript • Build scalable backend services using Node.js and Express • Implement real-time communication using WebSockets and Colyseus • Integrate AI capabilities using LLMs such as OpenAI (GPT), Anthropic Claude, Meta, Llama, and Mistral • Build intelligent workflows, assistants, and in-product automation • Implement secure authentication, authorization, and user/session management • Optimize platform performance for high-concurrency and low-latency use cases • Write clean, maintainable, and well-documented code • Collaborate closely with product, design, and engineering teams

• Work closely with peers to design & code robust scalable, loosely coupled components and micro-services that integrate with both public and private cloud infrastructure, as well as on-prem applications • Apply architecture and design principles consistently and holistically to enable target end-to-end usage scenarios. • Provide good focus on DevOps and MLOps use-cases and workflows • Build automated pipelines for ML model training, evaluation and deployment

• Design and build production connectors to enterprise systems, handling authentication, sync, pagination, error recovery, and data normalization • Contribute to the evolution of our unified API gateway layer that abstracts source complexity from the rest of the platform • Build and extend systems that enrich content with metadata, permissions, and structural context for downstream consumption • Architect for resilience: design retry strategies, circuit breakers, and graceful degradation for third-party API dependencies • Work with event-driven patterns to enable real-time and incremental synchronization • Collaborate directly with the Ingestion and Retrieval teams to ensure clean handoffs across the pipeline • Take grounded ownership of components — this team needs engineers who see a problem, pick it up, and drive it to resolution