Plain is a customer support platform built around AI-first architecture and a public API. The tech stack reveals heavy investment in AI infrastructure (Claude, Anthropic, OpenAI, RAG) paired with backend systems (PostgreSQL, n8n) designed for reliability and scale. Hiring is engineering-skewed (43 of 64 roles) with acute focus on AI data pipelines, backend architecture, and infrastructure — a pattern that maps directly to their stated pain around AI accuracy and system scalability.
Tech Stack 19 technologies
What Plain Is Building
◆Challenges
- Slow manual disconnected support
- Ai accuracy reliability quality
- System scalability challenges
- Lack of unified customer interactions
- Ai transforming customer support
- Seismic shift in b2b customer support
- Reactive support
- Siloed support across channels
- Siloed support function
- Scaling ai features quickly
▲Active Projects
- Backend services for ai integrations
- Backend architecture design
- Ai data pipeline
- Developer infra tooling
- Ai agents assistants insights
- Ai infrastructure architecture and pipelines
- Ai feature infrastructure
- Ai features development
- Building gtm team in sf
- Generative engine optimization content
Hiring Activity
65 roles · 55 in 30d
Department
Seniority
Company intelligence
