Circle (circle.so)
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Circle (circle.so) Engineering Team
The engineering team at Circle is a product-obsessed, async-first crew building the future of online communities. We’re organized into focused product groups across areas like CMS, Payments, Live, Mobile, Growth, Infra, and Applied AI — each led by empowered, product-minded engineers. We keep layers light, ownership high, and communication clear. We ship fast, iterate often, and care deeply about craft, culture, and building tools that millions of community members rely on every day.
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What People Are Saying About Circle (circle.so)
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Autonomy: Engineers are trusted with significant ownership and are measured on outcomes rather than hours, supported by a remote, async, documentation-heavy operating model. This setup empowers senior contributors to make decisions independently and move work forward across time zones.
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Innovation & Products: Small, focused teams are encouraged to experiment, share unpolished demos, and lean heavily into AI to ship quickly. Regular show-and-tells and hands-on leadership reinforce a product-first, iterative culture.
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Team Support: Colleagues are portrayed as low-ego and collaborative, with norms around candid feedback, owning mistakes, and helping across functions. Company rituals and explicit values aim to keep a supportive tone despite the distributed setup.
Recently posted jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while remaining hands-on. Build evaluation infrastructure, CI/CD pipelines, scorers, datasets, annotation workflows, observability tooling, and diagnostic systems for AI agents. Run experiments across prompts, models, caching, routing, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering to validate production changes and manage a growing technical roadmap.
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead Circle’s brand evolution across product launches, campaigns, events, advertising, social, motion, and digital experiences. Develop scalable visual identity systems, campaign concepts, illustrations, storyboards, and launch assets. Collaborate with Marketing, Product Marketing, Content, Motion, and Leadership to communicate complex software and AI products through compelling visual storytelling. Present concepts, maintain high craft standards, and explore AI-powered creative workflows.
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Build evaluation infrastructure, observability tools, diagnostic systems, datasets, annotation workflows, and experiments for production AI agents. Lead a hands-on AI Quality engineering team, improve agent reliability, latency, and cost, and partner with AI Core engineering. The role requires managing priorities while contributing directly to Ruby on Rails and Python codebases.
