Engagement Manager

LangChain LangChain · Data AI · San Francisco, CA · Customer Engineering

LangChain is seeking an Engagement Manager for their Professional Services team to manage technical engagements for enterprise customers building AI agents. The role involves managing the full engagement lifecycle, customer communication, cross-functional coordination, and risk management to ensure successful delivery of Professional Services projects.

What you'd actually do

  1. Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff
  2. Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes
  3. Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines
  4. Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning
  5. Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards

Skills

Required

  • Engagement lifecycle management
  • Customer communication and relationship management
  • Multi-engagement management
  • Cross-functional coordination
  • Risk and issue management
  • Experience with project management tools (Linear, Jira, Asana, or similar)
  • Experience with scope change management and complex stakeholder dynamics
  • Experience working with enterprise customers
  • Experience coordinating cross-functional technical teams
  • Startup DNA: thrive in fast-paced, ambiguous environments
  • Strong communication skills

Nice to have

  • PMP or similar project management certification
  • Experience in Professional Services or consulting
  • Experience with AI/ML or infrastructure engagements
  • Experience with time tracking and billing coordination
  • Knowledge of software development lifecycle and agile methodologies

What the JD emphasized

  • 5+ years of engagement or project management experience
  • managed multiple concurrent engagements
  • working with enterprise customers
  • coordinated cross-functional technical teams
  • project management tools
  • handled scope change management
  • AI/ML or infrastructure engagements