5 open TypeScript positions
The Forward Deployed Engineer works directly with leading AI customers to understand their technical challenges and deploy end-to-end solutions that impact model performance. Responsibilities include rapidly prototyping custom tools, designing effective solutions, and contributing to architectural decisions for high-impact deployments. This role combines deep engineering work with direct customer engagement in a fast-changing environment.
The Staff Forward Deployed Engineer will define and drive the technical strategy for delivering engineered solutions to Handshake's most strategic customers, including leading AI labs. This role involves acting as a trusted technical partner, solving hard deployment challenges, and owning the vision for scaling forward-deployed engineering as a function. The engineer will influence product direction and platform architecture while mentoring junior staff and establishing engineering best practices.
The Senior Forward Deployed Engineer acts as a technical leader interfacing between engineering and strategic customers, especially leading AI labs. This role involves owning the entire lifecycle of high-impact deployments, from scoping requirements to architecting and scaling solutions that enhance customer workflows and model performance. The engineer will also be responsible for mentoring peers and establishing best practices for repeatable deployment patterns.
The Software Engineer, Fellow Experience, will be responsible for building and scaling full-stack systems that manage the middle-of-funnel experience for fellows, focusing on project discovery, application, matching, and successful onboarding. This product-focused role requires working across frontend and backend surfaces to improve conversion and match quality, with opportunities for growth toward senior technical ownership. Key responsibilities include developing features related to fellow matching and onboarding, designing reliable backend APIs, and collaborating closely with product and design teams.
The Engineering Manager will lead the Annotations Team responsible for building and maintaining tools for the data creation pipeline that trains state-of-the-art language models. Key responsibilities include shaping technical direction, mentoring engineers, and partnering with product/design to deliver end-to-end solutions. This highly cross-functional role requires leadership experience alongside a strong technical background in full-stack development (ReactJS, TypeScript, Node.js/Python) and system architecture. The team delivers reliable, scalable, and user-centric solutions crucial for AI innovation, working directly with leading AI labs.