Technical Support Engineer

🕒 March 28

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

LangChain

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues. • Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs. • Partner with Deployed Engineering to support critical enterprise customers. • Build and refine internal tooling, diagnostics, and runbooks for complex issue triage. • Lead post-mortems for critical incidents and feed learnings back into product and documentation. • Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement. • Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support. • Mentor and coach other support engineers.

🎯 Requirements

• 4+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms) • Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks • Programming experience with Python. Bonus if you have TypeScript experience • Hands-on knowledge of Kubernetes and Docker • Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers) • Experience supporting enterprise customers and collaborating with engineering on complex escalations • A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection • High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented

🏖️ Benefits

• medical, dental, and vision coverage • flexible vacation • a 401(k) plan • life insurance