L

LangChain

Builds open-source tools for making AI agents

Business Systems Analyst - GTM Systems

Enterprise ApplicationsUpdated on Nov 14
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Have 6–8 years of experience in business systems, sales systems, revenue systems, or go-to-market systems, with Salesforce as the primary platform throughout.
  • Have experience partnering with Sales Operations on territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene.
  • Have experience across quote-to-cash, configure-price-quote, territory and lead routing, forecasting, or adjacent revenue processes.
  • Be able to read a data model and a Salesforce Flow, and understand enough Apex to design against the existing system.
  • Have been the single accountable working-level owner of a program spanning four or more functions and changing how a revenue organization operates day to day.
  • Have delivered a program into a core system through a release process outside their control, where another team's change could break the release.
  • Have re-scoped a program mid-flight because the business changed, a sponsor moved, or the original scope no longer fit reality.
  • Have experience declining an executive-backed request while maintaining the relationship and proposing an alternative when it conflicts with pricing discipline, legal constraints, or architecture.
  • Be able to tailor communication to the audience, providing concise information to executives and precise specifications to engineers.
  • Show initiative by identifying friction and starting projects without waiting for a ticket.
  • Be able to brief AI agents as they would a new engineer and review their work.
  • Understand which architecture decisions are load-bearing versus cosmetic, including data-model choices and downstream effects of changes such as renaming a picklist.
  • No production coding is expected, but specifications must be clear enough for engineers and AI coding agents to implement, and output must be reviewed using Salesforce and systems judgment.

Responsibilities

  • Own the Salesforce sales process from lead to close, including routing, qualification, territory assignment, and stage progression; drive initiatives from discovery through user acceptance testing, change management, and adoption.
  • Advise stakeholders before they submit requests, particularly when existing systems were not designed for new business needs.
  • Own the intake and prioritization model for hundreds of quarterly go-to-market systems requests, directing work toward high-leverage business problems.
  • Run discovery and translate ambiguous requests into business requirements documents, process flows, data models, acceptance criteria, problem statements, and return-on-investment justifications.
  • Hold the quality gate by writing specifications, reviewing implementation by engineers and coding agents, and approving changes before production.
  • Run vendor evaluations when buying, integrating, or replacing a solution is preferable to building it.
  • Trace anomalies in revenue fields such as net annual recurring revenue, initial pipeline, and lead source to the automation, trigger, or integration that produced them.
  • Own reconciliation between Salesforce, usage-based billing, and cloud marketplace transactions.
  • Identify critical design decisions and catch downstream failure modes before production.
  • Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field.
  • Create a prioritization model for quarterly go-to-market systems requests with clear tradeoffs and business rationale.
  • Deliver Salesforce changes that improve pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation.
  • Establish specification and user acceptance testing standards that engineers and AI agents can reliably build against.
  • Build trust with Sales, Marketing, Partnerships, Support, and Finance so stakeholders bring forward problems before prescribing solutions.

Desired Qualifications

  • Have owned a core Salesforce object domain such as Account, Contact, Lead, or Opportunity through a full redesign.
  • Have traced a Salesforce field into a usage record and provisioning step, including identifying downstream effects when the field moved.
  • Have worked with cloud marketplace operations, including AWS or GCP private offers, co-selling, entitlement mapping, metering, and related failure modes.
  • Have worked with usage-based billing systems such as Metronome or Orb, and customer relationship management-to-billing identity reconciliation.
  • Have LangChain or LangGraph experience, or be interested in learning these systems.

About the Company

LangChain

Builds open-source tools for making AI agents

LangChain makes free, open-source code libraries and a paid platform that software teams use to build and run AI agents, programs that use large language models to plan and finish tasks on their own. Its first library came out in October 2022, a month before ChatGPT, and in 2023 GitHub listed it among the open-source projects with the most contributors. Developers write agents with its LangChain, LangGraph, and Deep Agents libraries, which connect AI models to company data and software tools. Companies then pay for LangSmith, a platform that records each step an agent takes, scores its answers, and hosts finished agents. LangChain was founded in 2023 and is based in San Francisco.

Company size
201-500
Company stage
Late Stage VC
Total funding
$460M
Headquarters
San Francisco, CA
Founded
2023

Recently Posted Jobs

Explore more opportunities at LangChain

See more jobs