You will lead the full sales lifecycle by identifying and engaging researchers to drive product adoption and commercial relationships. This involves conducting technical discovery, managing demos, and building scalable systems for outreach and pipeline management.
You will own and execute full-cycle marketing initiatives, including paid acquisition campaigns, website management, and digital experience optimization. You will collaborate across teams to communicate complex technical products and drive growth through data-informed experimentation.
You will define and shape the product vision and roadmap for the Theo Platform while collaborating with engineering teams to translate research concepts into technical specifications. This role involves balancing technical constraints with strategic objectives to drive product development and scientific advancement.
You will define and build the security architecture for AI systems and the surrounding cloud platform, ensuring secure defaults and robust controls. This role involves hands-on engineering, adversarial testing, and embedding security practices directly into the development lifecycle.
Lead a team of engineers to build core capabilities for an AI scientific research platform while bridging the gap between research prototypes and scalable products. Manage multidisciplinary squads and set the technical direction to turn ambitious research ideas into reliable systems.
The role involves researching and developing state-of-the-art AI model architectures that integrate NLP and symbolic reasoning to automate the scientific process. Responsibilities include building data pipelines, establishing custom benchmarks, and managing model training and safety frameworks.
Design and code the AI Physicist research engine, focusing on hypothesis generation, simulations, and validation. Develop custom technical solutions and integrate state-of-the-art AI tools to accelerate theoretical physics research.
