Deployed Engineer

About ParadigmParadigm is a new type of spreadsheet for automating manual research with agents. We are based in San Francisco and are backed by ~$10M from General Catalyst, Y Combinator, and some of the best builders and operators in technology, including the founders of Ramp, Dropbox, and more.Our team is small and talent-dense. We are serial builders who have worked and studied at Google, Databricks, Penn, Bridgewater, and more.The spreadsheet interface is just the beginning. Our mission is to build a new type of agent-centric workspace that massively increases the productivity of knowledge workers. If you want to work on frontier AI systems that tackle meaningful real-world challenges and push the boundaries of what intelligent software can do, apply to join us.About the RoleAt Paradigm, some of our hardest and most important engineering problems begin with a customer.Deployed Engineers work directly with our customers to identify high-value workflows, understand their data and systems, and turn those workflows into production AI agents on Paradigm.You might spend one week working with an investment firm to automate diligence across thousands of companies and the next building a workflow that connects a customer’s CRM, internal documents, and external data sources to continuously surface new opportunities.You’ll operate at the intersection of engineering, product, and our customers. You’ll prototype solutions, build integrations, configure and deploy agents, debug failures, and help customers move from an initial use case to organization-wide adoption.This is not a traditional solutions engineering role. We expect Deployed Engineers to build. You’ll have the autonomy to solve customer problems directly and the responsibility to bring what you learn back into the core product.In this role, you will:Own the technical customer lifecycle, from deployment through production adoption and expansion, making sure our customers are successful with ParadigmWork directly with customers to understand how their teams operate and identify the highest-leverage workflows for ParadigmDesign and deploy AI agents that combine reasoning, web research, premium external data, and customers’ internal systemsBuild integrations into systems like CRMs, document stores, data warehouses, and internal APIsDebug agent behavior, data quality issues, integrations, and other problems that emerge in real-world deploymentsBuild deep relationships with users and technical stakeholders, from analysts and operators to engineering leaders and executivesTurn patterns you see across customers into product improvements and help shape Paradigm’s roadmapDrive customers from a successful first workflow to broad, repeatable adoption across their organizationRequirements for the role:Strong engineering foundation from a rigorous technical environmentDemonstrated track record of exceptional performance in whatever you’ve pursued, whether academic, professional, athletic, or entrepreneurialExperience writing and debugging production softwareProficiency in at least one modern programming languageAbility to quickly understand unfamiliar APIs, data models, and technical systemsHigh tolerance for ambiguity, intensity, and sustained effort when the problem demands itWillingness to travelYou might excel if you…Love taking an ambiguous business problem and turning it into a working technical systemWant to spend significant time with real users rather than building in isolationAre excited by LLMs, agents, data infrastructure, and the challenge of making them reliable in productionEnjoy moving between writing code, debugging data, talking to customers, and thinking about productGet unusually excited when someone says, “We spend 20 hours a week doing this manually”What we believe...Our best work is done in person. The team works together 5 days a week in our office in SF.