You will own the engineering strategy for AI-powered email applications, overseeing architecture across backend and client platforms. Additionally, you will lead a team of senior engineers to build reliable, scalable systems while ensuring high standards for code quality and operational excellence.
The Lead Software Engineer will own the engineering strategy for AI-powered email applications, overseeing backend, mobile, and desktop systems. They will lead a senior engineering team to design reliable, scalable architectures while ensuring high standards for performance and observability.
The Staff Software Engineer will own the engineering strategy for AI email applications, designing reliable systems that integrate AI models into product experiences. They will lead a senior engineering team, making critical architectural decisions while ensuring system performance, scalability, and reliability.
You will own the engineering strategy for AI-powered email applications, designing reliable systems that integrate AI models into backend and client-side products. Additionally, you will lead a senior engineering team, ensuring high standards for code quality, system scalability, and operational excellence.
The Technical Product Manager will define end-to-end AI system requirements and translate model capabilities into clear product decisions. They will collaborate with engineering teams to design, evaluate, and iterate on AI features while balancing quality, latency, and user trust.
The CTO will define the long-term architecture for AI systems and infrastructure while building and scaling a world-class engineering team. They will also translate product direction into technical execution and establish engineering standards across the organization.
The VP of Engineering Applications will lead the strategy and execution for engineering systems that integrate Artificial Intelligence into backend, mobile, and desktop platforms. They are responsible for building and mentoring a senior team while ensuring high-quality, reliable, and scalable product delivery.
The VP of Research will define the research direction for core intelligence, including reasoning, planning, and memory systems. They will also own the alignment, safety, and guardrail strategy while guiding the exploration of frontier machine learning techniques.
