20 hours ago
Base Salary
$175k - $240k/yr
Responsibilities
- Rearchitect LangChain’s billing pipeline into a self-serve platform that enables engineering teams to launch pricing models without enterprise team review.
- Design and implement configurable usage-based and token-based pricing infrastructure using Python and Go.
- Build shared pricing primitives and components that reduce the time and complexity required to launch new pricing SKUs.
- Implement audit logging, usage tracking, and metering pipelines focused on billing correctness.
- Integrate with Metronome, Orb, Stripe, and other billing and payment platforms for metering and invoicing.
- Own billing reconciliation, deduplication, proration, disputes, and credits to ensure accurate invoicing at scale.
- Partner with the billing PM, enterprise engineering, and product teams to define and prioritize the pricing infrastructure roadmap.
- Write clean, maintainable, and well-documented backend code.
Requirements
- 5+ years of backend engineering experience with Python or Go, with both preferred.
- Hands-on experience building or scaling usage-based, subscription, or consumption billing infrastructure.
- Experience with metering, invoicing, or pricing-model logic, ideally enabling other teams to configure or launch pricing changes without custom engineering.
- Familiarity with Postgres, Redis, APIs, and modern distributed backend infrastructure.
- Strong ownership and ability to work in a fast-paced, unstructured startup environment.
- Experience with token-based or usage-based cost tracking, especially at LLM or API-first companies, is preferred.
Benefits
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Meals on in-office days in the US.
- In-person work five days per week in San Francisco.
Tech Stack
Categories
About LangChain
LangChain builds open-source frameworks and a commercial platform for developing, evaluating, deploying, and operating LLM-powered agents and applications. Its LangSmith suite provides observability, testing, deployment, and governance for enterprise AI workloads; customers include Nvidia, LinkedIn, Workday, and Bridgewater. Privately held and headquartered in San Francisco, the company was founded in 2022.