Business Systems Analyst, GTM Systems

LangChain · Revenue Operations

Where: San Francisco, CA
Posted: Aug 20

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. 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.

What you'd do

Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption.
Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs.
Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets.
Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation.
Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off.
Run vendor evaluations when the right answer is buy, integrate, or replace rather than build.
Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them.
Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions.
Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production.
Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field.