Langchain
Monetization Operations & Systems Lead
New York, NY. Posted a month ago
The role
You will own the end-to-end order-to-cash path, including booking, provisioning, invoicing, and renewals. You will manage cloud marketplace operations, self-serve billing, and set an automation roadmap to scale order volume.
What you will do
- Own the order-to-cash path from order form intake to revenue recognition
- Build out cloud marketplace operations across AWS, GCP, and Azure
- Own self-serve billing operations including usage metering and refunds
- Own billing and usage completeness at month-end close
- Partner with Deal Strategy and Product on pricing and deal-structure decisions
- Set the automation roadmap by deciding what to automate or design away
- Find root causes for billing errors to fix the class of problem
- Ship automations personally or partner with GTM Systems and Enterprise Engineering
- Write the playbook and controls for approvals and reconciliations
- Move metrics for touchless order rate, cycle time, and billing accuracy
Required qualifications
- 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company
- Experience building the function at an early-stage or fast-scaling company
- Hands-on fluency with a modern billing and ERP stack
- Real experience with usage-based pricing
- Working knowledge of ASC 606 and month-end close
- Cloud marketplace experience (AWS, GCP, or Azure private offers) or ability to learn quickly
- A history of automating your own job
- Ability to build alignment across teams without relying on org authority
- Comfort shipping a v0 earlier than feels comfortable
Nice to have
- SQL, Python, or low-code tooling
- Experience building agents or LLM workflows for internal operations
- Audit prep or SOX readiness experience
Benefits
- medical, dental, and vision coverage
- flexible vacation
- 401(k) plan
- meals on in-office days in the US
About the company
LangChain builds the foundation for agent engineering, helping developers move from prototypes to production-ready AI agents. The company offers a platform for building, evaluating, deploying, and operating agents at scale.