Job Overview
Location
United States
Job Type
Full-time
Category
Operations
Date Posted
March 28, 2026
Full Job Description
đź“‹ Description
- • As an Engagement Manager at LangChain, you will serve as the critical bridge between cutting-edge AI technology and enterprise customers, ensuring successful delivery of Professional Services projects that move organizations from AI prototypes to production-ready solutions. Your work will directly impact how some of the world’s most ambitious companies adopt and scale AI, with real-world influence on teams at Fortune 500 enterprises and innovative startups alike.
- • You will manage the full lifecycle of 5–8 concurrent technical engagements, from Statement of Work review through project closeout, driving planning, execution, risk mitigation, scope control, and seamless handoffs while maintaining the highest standards of quality and customer satisfaction.
- • Acting as the primary point of contact for enterprise clients, you will deliver clear status updates, manage expectations, handle escalations, and negotiate scope changes with confidence, ensuring alignment between customer goals and technical delivery across Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams.
- • You will coordinate cross-functional efforts by managing resource allocation, capacity planning, and timelines, proactively identifying risks and developing mitigation strategies to keep complex, fast-moving projects on track and aligned with evolving business needs.
- • The Professional Services team at LangChain operates at the intersection of deep technical expertise and strategic customer partnership, playing a pivotal role in shaping how enterprise AI is built and deployed in the real world — your contributions will directly influence the adoption and success of LangChain, LangGraph, and LangSmith across industries.
- • In this role, you will have the opportunity to shape and refine engagement methodologies, influence internal processes, and grow your expertise in managing high-stakes AI implementations within a fast-paced, innovative environment that values ownership, agency, and constructive challenge.
🎯 Requirements
- • 5+ years of engagement or project management experience, preferably with technical or software engagements
- • Proven ability to manage 5–8 concurrent technical engagements while maintaining quality and meeting deadlines
- • Strong experience working with enterprise customers and leading customer-facing communication
- • Experience coordinating cross-functional technical teams (engineers, architects, product) and managing resource allocation
- • Proficiency with project management tools such as Linear, Jira, Asana, or similar
- • Demonstrated skill in scope change management and navigating complex stakeholder dynamics
- • Start-up mindset: thrives in fast-paced, ambiguous environments and takes initiative without waiting for direction
- • Natural communicator: clear, direct, and effective with both technical teams and executive stakeholders
🏖️ Benefits
- • Competitive compensation package including base salary ($170,000–$190,000), variable compensation, and meaningful equity
- • Comprehensive benefits including medical, dental, and vision coverage, flexible vacation, 401(k) plan, and life insurance
- • Opportunity to work with cutting-edge AI technology at a company trusted by 35% of the Fortune 500 and industry leaders like Replit, Coinbase, Workday, and Lyft
- • Hybrid or remote work flexibility within the U.S., with in-office options in San Francisco or New York for those within commuting distance
- • Access to a collaborative team environment with a strong engineering culture and direct influence on product and customer outcomes
Skills & Technologies
Remote
$170k-190k
About LangChain, Inc.
LangChain, Inc. provides open-source software libraries and cloud services for building applications that integrate large language models with external data sources and workflows. Its tools help developers create retrieval-augmented generation systems, manage prompts, chain model calls, and monitor performance in production environments. The company was founded in 2023 and is headquartered in San Francisco, California.
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