Langchain
About LangChain
LangChain was founded in early 2023 to help developers build context-aware reasoning applications. LangChain, open source software, is a framework that gives developers the building blocks to create production-ready applications with LLMs. LangSmith is our commercial, all-in-one SaaS platform that enables the end-to-end, development workflow for building LLM-powered apps. LangSmith is now trusted by the best teams building with LLMs, at companies such as Airbnb, ByteDance, Klarna, Google, Meta, Home Depot, and our 100+ paying enterprise customers.
Backed by some of the best venture capitalists, Benchmark and Sequoia, we have 10xd+ our revenue last year and have big ambitions and are set up to build an enduring business.
About the role
Were hiring a
Senior Technical Support Engineer
to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. Youll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. Youll also help define what world-class technical support looks like for modern AI platforms Key Responsibilities
Be the
go-to escalation point
for technical support inquiriesdiagnosing 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.
How to be successful in this role 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 whats best for the customer and the company and are relentlessly results oriented
Compensation & Benefits Competitive salary and equity stake for role and stage of company. Commensurate with experience.
Annual salary range: $130,000 - $170,000 USD
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Senior Technical Support Engineer
to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. Youll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. Youll also help define what world-class technical support looks like for modern AI platforms Key Responsibilities
Be the
go-to escalation point
for technical support inquiriesdiagnosing 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.
How to be successful in this role 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 whats best for the customer and the company and are relentlessly results oriented
Compensation & Benefits Competitive salary and equity stake for role and stage of company. Commensurate with experience.
Annual salary range: $130,000 - $170,000 USD
#J-18808-Ljbffr