Teams at Beam

Lead architecture for GenAI and agentic systems: define orchestration, memory, and reasoning layers; design scalable LLM, RAG, and vector-database pipelines; enable multi-step agentic workflows and long-context operations; build experimentation and model-evaluation frameworks; drive scalability, observability, and reliability; partner with product and ML teams; and mentor senior engineers to ensure architecture aligns with business outcomes.

Work with enterprise customers to design, build, and deliver agent-driven AI automations using Beam's Agent OS. Scope workflows, engineer prompts, integrate APIs, manage delivery timelines, troubleshoot live automations, and feed product insights back to engineering while advising clients on AI adoption.

Drive full enterprise sales cycle for AI-native automation platform: generate outbound pipeline, engage C-level stakeholders, define use cases, negotiate pricing and contracts, and collaborate with product and deployment teams to deliver high-ACV, multi-stakeholder deals while shaping GTM strategy and repeatable sales processes.