
11 - 50 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
💰 $25M Series A on 2024-02
Artificial Intelligence • B2B • SaaS
LangChain is a composable framework designed to assist developers throughout the entire lifecycle of Large Language Model (LLM) applications. Their suite of products, including LangGraph and LangSmith, offers tools for building, deploying, and managing applications that can reason and operate at scale. With a focus on operational efficiency and improved performance, LangChain supports a wide range of industries through its innovative offerings.
🕒 April 25
🏄 California, Washington – Remote
💵 $116k - $195k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🛠️ Implementation Specialist
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11 - 50 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
💰 $25M Series A on 2024-02
Artificial Intelligence • B2B • SaaS
LangChain is a composable framework designed to assist developers throughout the entire lifecycle of Large Language Model (LLM) applications. Their suite of products, including LangGraph and LangSmith, offers tools for building, deploying, and managing applications that can reason and operate at scale. With a focus on operational efficiency and improved performance, LangChain supports a wide range of industries through its innovative offerings.
• Lead onboarding engagements for new enterprise customers, guiding them through initial setup and unblocking issues as they begin building on the LangSmith platform • Create and deliver live, interactive training workshops to help customer teams build foundational product knowledge and agent engineering best practices • Develop scalable enablement frameworks including technical tutorials, best-practice guides, and reference implementations • Act as the voice of the new user, synthesizing feedback and identifying friction points to inform the product roadmap in collaboration with Product and Engineering teams • Partner with Sales, Deployed Engineering, and Professional Services to define enablement strategies for prospective customers, demonstrating the value and ease of getting started with LangChain • Stay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materials
• 5+ years of experience in a technical, customer-facing role such as Enablement, Customer Success Engineer, Developer Advocate, or similar • Proven software engineering experience with 2+ years focused on AI/ML applications or agents, including strong proficiency in Python and a deep, practical understanding of the modern AI/LLM stack • Passion for educating users on technical topics and deep empathy for the developer experience • Demonstrated ability to create and deliver high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides • Exceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences, from individual developers to enterprise stakeholders • Capacity to operate independently in a fast-paced, ambiguous environment and manage multiple projects simultaneously • Ability and willingness to travel up to 20% of time for customer engagements
• medical, dental, and vision coverage • flexible vacation • a 401(k) plan • meals on in-office days in the US and more.
Apply Now🕒 April 25
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