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LangChain

Revenue Manager

San Francisco, CAOnsite · United States
Manager · FullTime · Finance
POSTED 11 NOVVERIFIED 38M AGO
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Role
0 days opentrue age
Closes in ~28d at the median (28d)
Posted 11 Nov · n=13
Pay
$206k–$298kno pay posted
$138k$298k
Market p25–p75
$138k–$201k
LangChain p25–p75
$206k–$298kn=4
SF Bay Area · n=1664 · 365d to 11 Nov
CompanyLangChain →
101open roles
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73,576open · Manager Other
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All tracked boards · live 11 Nov · n=73,576
Visa
12H-1B LCAs · FY26
Median wage
$170k
LCAs FY26 · n=12 · to 2026-05-18

About Us

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. LangChain is a place where your contributions can shape how this technology shows up in the real world.

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

About the role

We're hiring our first Revenue Manager to own revenue accounting end to end: how we recognize it, how we close it, and the systems that produce it. You'll report to our Controller and work closely with rev ops, sales, legal, and FP&A.

We sell through self-serve, enterprise contracts, and on marketplaces, with a mix of subscription, consumption, and self-hosted pricing as well as professional services. That mix makes revenue interesting. Prepaid credits, commits, overages, and multi-element deals all need clear policy and systems that get them right every month.

This is a hands-on role. You'll write the accounting memos and also own how Salesforce, Metronome, and our ERP fit together so the numbers tie without a spreadsheet in the middle. We want someone who leans into AI. You'll use AI tools and agents to automate reconciliations, draft memos, and review contracts, and you'll help set how the rest of the accounting team works with them.

What you'll do

Revenue recognition and policy

Own ASC 606 for every way we sell: subscription, consumption, self-hosted licenses, and marketplace

Write and maintain technical accounting memos and our revenue policy

Build and maintain our standalone selling price (SSP) analysis and run allocations on multi-element deals

Set the treatment for prepaid credits, commits, rollover, overages, breakage, and promotional credits

Set revenue positions for new AI and consumption products, and track partner and marketplace economics as those models evolve

Review deals before signature and advise sales and rev ops on how terms affect revenue

Close and reporting

Run the monthly revenue close: usage revenue, deferred revenue, contract assets, and unbilled AR, with rollforwards and reconciliations

Reconcile usage data, Metronome, Salesforce, and the GL every month

Own the allowance for credit losses, from methodology through the audit memo, with collections and sales

Produce revenue and deferred revenue flux analysis, RPO, and disaggregation, and present results in quarterly close reviews

Partner with FP&A to tie ARR and usage metrics to GAAP revenue

Own commission capitalization under ASC 340-40

Support special projects like new pricing launches and products

Systems

Own the revenue data flow from Salesforce to Metronome to our ERP and revenue subledger

Design revenue rules and configuration in our AI-native ERP, and review its output rather than rebuild it in spreadsheets

Lead requirements, testing, and parallel runs for new systems, products, and pricing launches

Build automated reconciliations, controls, and AI agents so the close scales with the business

Audit and controls

Own revenue for the annual audit: PBCs, memos, and walkthroughs

Source · LangChainFirst seen 11 NovOriginal ↗