Base Salary
$170k - $200k/yr
Responsibilities
- Build reference architectures and integration patterns supporting cloud co-sell, marketplace listings, and joint solution briefs.
- Partner with cloud field and partner teams on solutioning for named accounts.
- Maintain marketplace presence and co-sell technical assets as LangChain, LangGraph, and LangSmith evolve.
- Build and run a services partner enablement program with certification tracks, workshops, delivery playbooks, and implementation guides.
- Deliver certification workshops, review certification projects, and guide partner engineers through certification.
- Develop repeatable joint solutions and reference architectures with systems-integrator centers of excellence.
- Act as a technical evangelist for specific partner-led engagements and communicate the technical value of LangChain.
- Build joint business plans and shared technical roadmaps with strategic services partners.
- Support systems integrators in developing and scaling their agentic AI practices and centers of excellence.
- Serve as a technical escalation point for complex partner-led deployments.
- Represent LangChain at partner events, summits, and joint webinars.
- Gather partner and field feedback and route it to product and engineering teams.
Requirements
- 7+ years of experience in a technical, partner-facing, or customer-facing role such as Partner Engineer, Solutions Architect, or Sales Engineer.
- Experience partnering with systems integrators, cloud providers, or technology and ISV partners on complex technical problems from solution design through delivery.
- Experience building partner enablement programs such as certifications, workshops, and delivery playbooks.
- Ability to work across engineering, partnerships, and sales and communicate with technical, business, and C-suite stakeholders.
- Hands-on experience with LLM frameworks such as LangChain, LangGraph, or similar, including RAG patterns and agent architecture.
- Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results.
- Strong Python skills.
- Working knowledge of GCP and/or Azure cloud services.
- Experience designing reusable integrations, sample repositories, or reference architectures.
- Familiarity with vector stores, tool integration, and API design in agentic systems.
Benefits
- Medical, dental, and vision coverage
- Flexible vacation
- 401(k) plan
- Meals on in-office days in the US
- Annual salary range of $170,000 to $200,000 USD
Tech Stack
Categories
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. What began as widely adopted open-source tools has grown into a platform for building, evaluating, deploying, and operating agents at scale. LangChain provides the agent engineering platform and open source frameworks developers need to ship reliable agents fast. LangSmith offers observability, evaluation, and deployment for rapid iteration. Our open source frameworks, LangGraph, LangChain, and Deep Agents, help developers build agents with speed and granular control. LangSmith is trusted by leading AI teams at Zip, Vanta, Klarna, Workday, Linkedin, Cloudflare, and more.