Close is a self-contained sales platform (CRM + VoIP + automation + reporting) targeting small businesses that want speed over feature bloat. The tech stack — Python/Flask on AWS with PostgreSQL, MongoDB, Elasticsearch, and Redis — supports real-time communication via Twilio, WebSockets, and WebRTC. Active projects center on AI feature rollout (call assistant, task automation) and API scalability (GraphQL/REST), while internal pain points surface a company wrestling with email/calendar sync at scale and rebuilding systems around AI — indicating a shift from traditional CRM toward AI-augmented workflows.
Close sells a CRM platform purpose-built for inside sales teams and small businesses. The product integrates calling (via Twilio), email, and calendar sync with deal management, automation, and reporting in a single interface. The company is bootstrapped and profitable, remote-first, and based in San Francisco. With ~100+ employees across engineering, marketing, support, and design, Close prioritizes asynchronous work and deep focus. Recent hiring velocity is accelerating across engineering and marketing roles, with active projects focused on AI-powered features, API performance, and onboarding friction reduction.
Python, Flask, PostgreSQL, MongoDB, Elasticsearch, Redis, AWS (EKS, MSK, RDS, ElastiCache), Docker, Kubernetes, Terraform, Ansible, GraphQL, REST API, React, React Native, Twilio for VoIP, and WebRTC for communication.
AI-powered features (call assistant, task automation), GraphQL/REST API performance and scalability, user onboarding flows, pricing experiments, and a technical sourcing engine. Internal priorities include syncing millions of sales emails/calendar events and reducing time-to-value.
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