Engagement Manager (AI)

Location: San Francisco or New York office; employees within commuting distance work onsite five days per week. Hybrid arrangements may be available for employees living outside commuting distance, and remote candidates must be based in the United States.

Annual salary: $150,000–$190,000.

Company

LangChain builds open-source frameworks and the LangSmith platform for building, evaluating, deploying, and operating production AI agents.

What you will do

• Manage the full lifecycle of Professional Services engagements from SOW review through closeout, including planning, execution, handoff, risk management, and scope management.
• Serve as the primary customer contact, provide status updates, manage expectations, handle escalations, and negotiate scope changes.
• Manage 5–8 concurrent technical engagements while maintaining quality and meeting deadlines.
• Coordinate Solution Architects, AI Engineers, Sales, Support, Enablement, Product, and Engineering teams.
• Manage resource allocation and capacity planning, identify risks, develop mitigation strategies, and track issue resolution.

Requirements

• 5+ years of engagement or project management experience, preferably involving technical or software engagements.
• Experience managing multiple concurrent engagements while maintaining quality.
• Strong experience with enterprise customers and customer-facing communication.
• Experience coordinating cross-functional technical teams, including engineers, architects, and product professionals, and managing resource allocation.
• Experience with project management tools such as Linear, Jira, Asana, or similar.
• Experience handling scope changes and complex stakeholder dynamics.
• Ability to work effectively in fast-paced, ambiguous environments and take independent ownership.
• Clear, direct communication with technical teams and executive stakeholders.
• Ability to demonstrate a high bar for quality and impact, constructive debate, agency, ownership, and comfort with complex and ambiguous challenges.

Nice to have

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

Culture & Benefits

• Collaborative environment with a strong engineering culture and direct impact on enterprise AI delivery.
• Medical, dental, and vision coverage.
• Flexible vacation and a 401(k) plan.
• Meals on in-office days in the US.
• Compensation may include variable pay for relevant roles, equity, benefits, and additional perks.