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Featherless AI Tech Stack
Serverless GPU inference platform for open-weight models at scale
Featherless AI operates a GPU orchestration layer that abstracts away infrastructure management for model inference, letting teams run thousands of open-weight models without provisioning or managing hardware. The hiring mix is heavily skewed toward go-to-market—sales and marketing dominate active roles while engineering is minimal—suggesting the core platform is stabilized and the focus has shifted entirely to land-and-expand motion, with projects centered on enterprise pipeline building, pricing playbooks, and GTM repeatability.
Tech Stack 29 technologies
Core StackSupabase Looker Python JavaScript Hugging Face Ollama PyTorch Node.js Figma Sketch MongoDB Redis Vercel Cloudflare Kubernetes Vue TypeScript Sentry OpenTelemetry HubSpot n8n Google Analytics 4 PostHog Ahrefs Google Search Console Nuxt Fastify Elastic Cloud Reply.io
What Featherless AI Is Building
◆Challenges
- Signup activation retention optimization
- Grow qualified traffic
- Expanding enterprise sales pipeline
- Convert awareness into activation
- Building repeatable gtm engine
- Improving conversion rates
- Scalable plg funnel
- Shaping gtm motion
- Building enterprise pipeline
- Early-stage chaos
▲Active Projects
- Repeatable gtm engine
- Analytics + attribution systems
- Pricing strategies and expansion playbooks
- Website rebrand and relaunch
- Pipeline building across enterprises, research labs, ai startups
- Seo keyword strategy
- Creative gtm experiments
- Pipeline generation and ecosystem sourcing
- Partner relationship management
- Pipeline qualification across enterprises
Hiring Activity
65 roles · 35 in 30d
Department
Seniority
Company intelligence
