Engagement Manager (NYC)

present of AI; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

LangChain is seeking a delivery-focused professional to manage multiple technical projects for enterprise customers, ensuring on-time delivery and high quality across parallel efforts. You will coordinate with engineers and executives, handle scope changes, and track risks to keep initiatives on track.

The role sits at the intersection of AI technology and customer-facing delivery, offering hands-on exposure to LangChain tools and enterprise deployments from pilot to production.

Qualifications

• Years of project or engagement management experience.
• Experience managing multiple parallel technical projects.
• Strong cross-functional coordination across engineers and executives.
• Experience with scope changes and risk management.
• Proficiency with Jira.

Responsibilities

• Run several technical projects for large customers.
• Review contracts and manage closeout processes.
• Maintain high quality across many parallel efforts.
• Communicate clearly with engineers and executives.
• Identify risks early and propose mitigations.

Skills

Project management

Enterprise communications

Cross-functional coordination

Scope & risk management

Quality oversight

Tools

LangChain

LangGraph

LangSmith

Jira

Job description

The role asks for someone to run several technical projects at once for large customers, from contract review to closeout. A strong candidate has years of project or engagement management, keeps quality high across many parallel efforts, and communicates clearly with both engineers and executives. Experience with scope changes and coordinating cross functional teams is key.

How it fits the AI era

AI changes the work by making agent projects faster to prototype but harder to keep on track, so this role focuses on managing delivery and customer expectations. The human parts are reading stakeholder dynamics, negotiating scope, and spotting risks early. The role sits between AI technology and enterprise customers, helping them move from pilot to production.

How it builds AI experience

The job offers hands on exposure to LangChain, LangGraph, and LangSmith as customers build agents, so someone would learn how AI agent projects are scoped and delivered. To build that experience, one could study how agent evaluation and observability work in practice. Prior work with AI or infrastructure engagements is a plus but not required.

Worth showing

• Managing multiple technical projects
• Enterprise customer communication
• Cross functional team coordination
• Scope and risk management
• Project tools like Jira

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About LangChain

LangChain provides an open agent engineering platform and open source frameworks for building, testing, deploying, monitoring, and governing AI agents, per the company.