Building an AI-powered B2B SaaS assistant for engineering managers that cuts the operational overhead of EM work
Building an AI-powered B2B SaaS assistant for engineering managers that cuts the operational overhead of EM work. - Designed and shipped the MVP solo -- full-stack engineering, product definition, UX, and go-to-market - Built core features: team health & delivery signals (Jira/Linear, GitHub/GitLab, Slack/Teams ingestion), AI-assisted 1-on-1 prep, and performance-review support - Architected a multi-tenant, event-driven SaaS platform with an LLM orchestration layer and REST API - Stack: Go, TypeScript/React, PostgreSQL, Redis, self-hosted Kubernetes; LLM integration via DeepSeek (prompt engineering, structured output, context management) - Built API/webhook integrations across external tools; running customer discovery with EMs ahead of launch