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 roleWe'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 doRevenue recognition and policyOwn 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
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
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
Own revenue for the annual audit: PBCs, memos, and walkthroughs
Design revenue controls that would hold up to a SOX-level review
6 to 9 years of accounting experience, including 2+ years in public accounting (Big 4 or national firm) with technology clients
3+ years owning revenue accounting in-house at a high-growth software company, ideally with usage- or consumption-based pricing
CPA preferred
Deep, hands-on ASC 606 knowledge, including complex and non-standard arrangements: you've written the memos, built an SSP analysis, and defended your conclusions to auditors
Business ownership of at least one revenue or billing system implementation, from requirements and data mapping through testing, parallel runs, and go-live
A track record of replacing a manual process with an automated one
Experience closing revenue under audit at a pre-IPO or public company
You lean into AI. You already use AI tools or agents in your own work, can show where they made your close faster or more accurate, and want to build a revenue function that runs AI-first
Clear writing and judgment. You can explain a revenue conclusion to a sales leader in two sentences and to an auditor in two pages
Experience with Metronome, Stripe Billing, or a similar usage-billing platform
Experience with AI-native or modern ERPs, or NetSuite ARM, Zuora Revenue, or RightRev
Accounting for self-hosted or on-prem software licenses alongside SaaS
Cloud marketplace sales (AWS, GCP, Azure), including private offers
IPO readiness or first-year SOX experience
Experience at an AI, developer tools, or infrastructure company
Built a revenue function or close process from scratch
Salary: $150,000-$180,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BenefitsBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Skills Required
- 6 to 9 years of accounting experience
- At least 2 years in public accounting at a Big Four or national firm with technology clients
- At least 3 years owning revenue accounting in-house at a high-growth software company
- Hands-on ASC 606 experience, including complex and non-standard arrangements
- Experience writing technical accounting memos and building standalone selling price analyses
- Experience defending revenue accounting conclusions to auditors
- Business ownership of a revenue or billing system implementation through requirements, data mapping, testing, parallel runs, and go-live
- Track record of replacing manual processes with automated processes
- Experience closing revenue under audit at a pre-IPO or public company
- Experience using AI tools or agents in accounting work
- Clear written communication and sound accounting judgment
- CPA certification
- Experience with Metronome, Stripe Billing, or a similar usage-billing platform
- Experience with AI-native or modern ERP systems, NetSuite ARM, Zuora Revenue, or RightRev
- Accounting experience for self-hosted or on-premises software licenses alongside SaaS
- Cloud marketplace sales experience, including AWS, GCP, Azure, and private offers
- IPO readiness or first-year SOX experience
- Experience at an AI, developer tools, or infrastructure company
- Experience building a revenue function or close process from scratch
What We Do
LangChain is the platform for building reliable agents. Our products power top engineering teams — from fast-growing startups like Lovable, Mercor, and Clay to global brands including AT&T, Home Depot, and Klarna. LangGraph is a low-level orchestration framework for building controllable agents and long-running workflows. It’s used in production by teams at Replit, Uber, LinkedIn, GitLab, and more. LangSmith offers unified evaluation and monitoring to help developers debug, evaluate, and improve their agents at scale. LangChain provides hundreds of integrations and composable components, making it easy to connect with the latest models, tools, and databases — with minimal engineering overhead. Together, these tools help teams build, deploy, and manage enterprise-grade agents, faster.








