sunbeam is building a fully autonomous SEO agent that plans, writes, and ships work end-to-end. An agent that ships work is one of the harder problems in applied AI right now. It requires reasoning over long horizons, executing reliably across systems, and owning outcomes that real customers can stake their growth on. We believe getting this right is a game-changer for how SEO gets done. sunbeam was built inside daydream, an AI-native SEO agency that runs SEO end-to-end for companies like Anthropic, Clay, and Replit. We are distilling what daydream learned doing the work into an autonomous agent that does the work on its own. We've raised over $20M from First Round Capital, Basis Set Ventures, WndrCo, and SOMA Capital, and are backed by leaders from Notion, Airtable, Webflow, and Dropbox, including Lenny Rachitsky and Eli Schwartz, author of Product-Led SEO. You'll work closely with a small, highly capable team across engineering and design: Shravan (CTO), formerly an Engineering Lead at Flixed and a Software Engineer at Facebook, where he worked on mass-scale web scraping for Facebook Jobs and Meta Reality Labs. Vishruth (Founding Applied AI Engineer), previously a Data Scientist at Klaviyo specializing in NLP, with a research background from Cornell. Daniel (Founding Applied AI Engineer), formerly a Data Engineer on Tesla's Autopilot team and previously Lead Data Engineer at Replit. Tom (Founding Designer), who previously led product design at Blockless and now leads our frontend efforts. As a Senior/Staff Engineer at sunbeam, you’ll provide technical leadership across the product while remaining deeply hands-on. You’ll partner closely with the CTO to shape system architecture, guide execution, and raise the quality bar across the engineering organization. This is not a people-management role; you’ll lead through design decisions, code quality, and consistent delivery of scalable systems. In this role, you will: Act as the technical lead for day-to-day engineering execution across the team Partner with the CTO to organize, prioritize, and sequence engineering work Design and evolve core system architecture, guiding implementation decisions Review pull requests and set standards for code quality, reliability, and maintainability Identify technical risks early and propose pragmatic, scalable solutions Mentor engineers through technical guidance, feedback, and example Improve engineering workflows to increase speed without sacrificing quality Work primarily across backend systems, data pipelines, and AI-enabled services, using Python, TypeScript, and C#, deployed on Google Cloud.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed