Head of Deployed Engineering - EMEA
LangChain(29 days ago)
About this role
The Head of Deployed Engineering - EMEA at LangChain is responsible for building and leading a regional team of deployed engineers across Europe, the Middle East, and Africa. This leadership role requires collaborating closely with the EMEA sales leader to drive technical strategies and customer success, while developing scalable engineering solutions using LangChain's suite of products. The Head will set operational standards, contribute to global playbooks, and ensure alignment between technical excellence and revenue objectives, while also engaging with senior stakeholders on enterprise projects. Candidates should have over 10 years of experience in technical customer-facing roles, with strong expertise in software and platform engineering.
Required Skills
- Team Building
- Technical Leadership
- Customer Engagement
- Revenue Accountability
- Technical Strategy
- Solutions Architecture
- Pre-Sales Support
- Competitive Differentiation
- Technical Expertise
- Communication Skills
+11 more
Qualifications
- 10+ years of experience in sales engineering, solutions architecture, engineering, or similar customer-facing technical roles at a dev tools, AI, or infrastructure company
- Experience leading and scaling technical GTM teams
- Deep technical expertise in Python, software engineering, platform engineering, and solutions architecture
About LangChain
www.langchain.comLangChain is a leading platform for building and deploying reliable AI agents, providing both engineering tools and open-source frameworks for developers. It streamlines the agent development lifecycle by offering products such as LangChain, LangGraph, and LangSmith, which cater to different levels of control and complexity in agent engineering. LangChain's innovative platform is designed to support various AI models, facilitating quick iteration and integration while ensuring high performance. With robust observability and evaluation tools, LangChain empowers organizations to enhance their AI capabilities and improve operational efficiencies across diverse use cases.
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