Partner Engineer

About Us

At Lang Chain, 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. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. Lang Chain is a place where your contributions can shape how this technology shows up in the real world.

Today, our platform includes Lang Smith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (Lang Chain, Lang Graph, and Deep Agents), and the newly launched Lang Smith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active Lang Smith customers, and 5 of the Fortune 10 use Lang Smith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, Linked In, , Nvidia, and Bridgewater.

Cloud providers and Systems Integrators help Lang Chain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem.

You’ll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients.

• Build reference architectures and integration patterns that support the technical side of co-sell, from marketplace listings to joint solution briefs

• Partner with cloud field and partner teams on solutioning for named accounts.

• Keep our marketplace presence and co-sell technical assets current as Lang Chain, Lang Graph, and Lang Smith evolve

• Build and run Lang Chain's services partner enablement program from the ground up, including tiered certification tracks, hands-on workshops, delivery playbooks, and implementation guides based on our agent development lifecycle (ADLC) framework

• Run Lang Chain's partner certification program in the region: deliver certification workshops, review certification projects, and guide partner engineers through the program.

• Work with SI centers of excellence (CoEs) to develop repeatable joint solutions and reference architectures, so an SI's own teams can scope, build, and deploy agentic AI independently instead of pulling in Lang Chain engineering for every deal

• Act as a technical evangelist in the field: work directly with an SI's client account teams to make the technical case for Lang Chain on a specific engagement, which is a different motion than the strategic work you do with a CoE

• Build and maintain joint business plans with strategic services partners, translating account and industry priorities into a shared technical roadmap and a concrete set of reference assets

• Help SI teams grow from an individual technical champion into a full center of excellence, then support that expertise as it spreads across their client base

• Contribute technical enablement to our Tier 1 GSI strategy as it matures, including scoping what a global systems integrator needs to stand up its own agentic AI practice

• Serve as a technical escalation point for complex partner-led deployments

• Represent Lang Chain at partner events, summits, and joint webinars

• Gather feedback from partners and the field, and route it back to product and engineering

7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Solutions…