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.
The Program Manager will operationalize the research portfolio by defining clear research programs, milestones, and ROI frameworks. They will also facilitate communication between research, product, and engineering teams to ensure research initiatives align with strategic goals and product capabilities.
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.
The Head of GTM will define and execute the company's go-to-market strategy to drive adoption and commercial growth for scientific AI products. This role involves building the commercial function from the ground up, including sales processes, pipeline management, and strategic customer relationships.
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.
You will lead the end-to-end commercial lifecycle, including prospecting, discovery, and closing deals with researchers and scientific institutions. Additionally, you will build the commercial function from the ground up by refining sales processes and providing market feedback to the product and research teams.
You will lead the end-to-end commercial lifecycle, including prospecting, discovery, product demonstrations, and closing deals with researchers and institutions. Additionally, you will build scalable sales systems and provide market feedback to the product and research teams.
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.
Lead a team of researchers to define and execute high-conviction research programs for AI-enabled scientific discovery. Bridge the gap between theoretical research and product capabilities by collaborating with engineering and domain experts in multidisciplinary squads.
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.
Bridge the gap between AI technology and physics researchers by managing the end-to-end user lifecycle from onboarding to long-term retention. Partner with engineering and research teams to translate user friction points into product improvements and provide deep technical support.
Lead the end-to-end operational lifecycle of the AI-native Physicist Fellowship, including recruiting, selection, and fellow support. Coordinate between external advisors and internal technical teams to build a high-signal research ecosystem.
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.
The primary focus is developing and stewarding relationships with technology providers, AI research labs, compute providers, and cloud platforms to secure dataset collaborations, infrastructure support, and in-kind compute credits. This involves identifying and developing partnerships across North America, Europe, and Asia to secure resources like GPU compute and engineering collaboration.
