Director, Deployed Engineering - Central

LangChain LangChain · Data AI · Chicago, IL · Deployed Engineering

LangChain is seeking a Director of Deployed Engineering to build and lead a team focused on helping enterprise customers build and deploy AI agents in production. This role involves technical leadership, customer engagement, and revenue accountability, partnering closely with sales and product teams to drive adoption and ensure customer success with LangChain's platform.

What you'd actually do

  1. Build and scale the deployed engineering team, owning hiring, onboarding, coaching, and performance management as the team grows rapidly.
  2. Achieve the technical win, driving urgency and focus with our customers, in order to rapidly advance our opportunities across the region.
  3. Partner with LangChain’s regional sales leader, with shared accountability for revenue outcomes and customer success.
  4. Lead technical strategy on our most strategic enterprise opportunities, engaging directly with senior technical and business stakeholders to shape evaluations, architecture, and solution design.
  5. Differentiate LangChain in competitive environments, clearly articulating our technical advantages, product vision, and unique expertise in building and deploying agents in production.

Skills

Required

  • 10 years of experience in sales engineering, solutions architecture, engineering, or similar customer-facing technical roles at a dev tools, AI, or infrastructure company.
  • Proven experience leading and scaling technical GTM teams.
  • Deep technical expertise — you’re not a stranger to Python, and are well-versed in software engineering, platform engineering, and solutions architecture disciplines.
  • Experience working with or selling to developers and engineering-led buyers.
  • Strong track record of leading complex enterprise technical engagements and building trust with senior stakeholders.
  • Exceptional communication and technical storytelling skills, with the ability to simplify complex concepts and influence executive audiences.
  • A bias for action, comfort with ambiguity, and a consistently high bar for excellence.

Nice to have

  • Familiarity with genAI, agents, observability, or open source software
  • Experience as an early member of a startup GTM organization

What the JD emphasized

  • building and deploying agents in production
  • leading and scaling technical GTM teams
  • complex enterprise technical engagements

Other signals

  • make intelligent agents ubiquitous
  • building and running AI agents in production
  • deploying agents at scale