B
Beam AI builds agentic AI systems designed for production enterprise workflows—finance, HR, and operations—using a modern stack of LangChain, LangGraph, LlamaIndex, and multiple model providers (OpenAI, Anthropic, Mistral, Llama). The hiring split is heavily sales-focused (6 roles) over engineering (5), with 8 senior-level positions open, reflecting a company scaling GTM and closing large customer deployments rather than building new core product.
Tech Stack 44 technologies
Core StackNode.js Python Go AWS LangChain OpenAI Anthropic HubSpot Zapier Salesforce ServiceNow RAG JavaScript TypeScript React Next.js Jest Beam GCP Azure LangGraph LlamaIndex Llama Mistral Notion React Query Redux Toolkit React Testing Library styled-components JWT+14 more
AdoptingBeam
What Beam AI Is Building
◆Challenges
- Adopting ai agents at scale
- Complex enterprise deals
- Long sales cycles
- Scaling gtm
- Adopting ai agents in enterprise workflows
- Defining gtm motion for ai platform
- Scaling operations with intelligence
- Expanding enterprise sales in anz
- Real-time orchestration
- Scaling inference pipelines
▲Active Projects
- Anz sales launch
- Go-to-market playbook development
- Genai and agentic systems design
- Shape high-impact use cases
- Co-design solutions with customers
- Define gtm motion
- Co-design solutions with product and deployment teams
- Build pipeline through targeted account mapping
- Agentic workflows architecture
- Model experimentation frameworks
Hiring Activity
10 roles · 10 in 30d
Department
Seniority
Company intelligence