AI-powered notetaker for online meetings
Fathom develops an AI meeting assistant that records, transcribes, summarizes, and extracts highlights from Zoom, Google Meet, and Teams calls. It serves professionals in sales, customer success, and recruiting by automating notes, action items, and CRM integration. This frees users to focus on conversations rather than documentation.
Backend Engineer building and scaling highly-available services for Fathom's AI meeting assistant. Requires strong Rails and Kubernetes/Go experience to improve reliability, efficiency, and customer experience at massive scale.
Own strategic finance for a cash-flow-positive PLG SaaS company: build the operating model, drive unit economics and pricing decisions, manage AI inference and cloud costs, and serve as the CEO's trusted financial advisor.
Optimizes LLM inference stack for speed, cost, and reliability using serving frameworks, quantization, and GPU tuning. Builds fine-tuning pipelines to accelerate AI team model development for production serving of millions of meetings.
Scales infrastructure, builds automation and internal tooling, and enhances observability on GCP/GKE for a remote-first SaaS platform. Requires IaC/GitOps expertise, observability practices, and familiarity with message queues, Prometheus, and Golang.
Owns social media strategy, content creation (text, images, videos), and community engagement on platforms like LinkedIn to build brand presence and audience excitement for AI meeting tool. Requires 5+ years experience in social/content/community with excellent writing and analytics skills.
Hands-on AI Engineer prototyping and refining LLM-based features, upgrading capabilities with prompt engineering and fine-tuning, while creating evaluations and migration processes for Fathom's meeting AI product. Requires Python proficiency, analytics skills, and Master's degree.
Build and evolve full-stack features focused on third-party integrations (CRMs, Zapier, Slack) and apps (Electron desktop, Chrome extension). Requires experience with Ruby/Rails, TypeScript, MySQL, Redis, Electron, GCP/GKE in high-scale SaaS environments.