Software Engineer (Billing and Revenue Platform)
Posted Updated
- Glean is seeking a lead engineer to drive the billing and revenue platform that powers Glean’s consumption-based pricing for our AI products
- As a lead engineer, you’ll provide deep technical leadership and own critical parts of our billing stack end to end
- You’ll work closely with Product, Finance, Data, and Go-To-Market to ensure every AI feature we ship is accurately metered, transparently billed, and margin-positive
- At the same time, you’ll help design powerful, elegant abstractions that make it easy and safe for product teams to integrate with billing—from logging usage to surfacing billing insights in the admin console
- Act as the technical lead for key initiatives across our billing and revenue platform
- Work hands-on to design and implement systems for usage metering, pricing logic, credits, and admin-facing billing dashboards
- Provide technical leadership and vision across a broad billing surface area, spanning data pipelines, backend services, and web UX
- Drive the evolution of our consumption / Flex pricing infrastructure in a fast-paced environment, with a high bar for correctness, reliability, and debuggability
- Partner with Finance, Pricing, RevOps, and Product to translate pricing strategy into robust technical designs and workflows
- Define and maintain guardrails for LLM and agent costs (e.g., limits, anomaly detection, margin monitoring) so product teams can ship AI features confidently
- Raise the bar for engineering quality through design reviews, code reviews, and mentoring other engineers on the team
- 6+ years of industry software engineering experience
- Strong ability to drive technical direction, make tradeoffs explicit, and align cross-functional stakeholders around pragmatic decisions
- Meaningful experience with billing, payments, pricing, or other revenue-critical systems (usage-based or subscription); or you have built similarly high-integrity, auditable systems
- Experience with or desire to learn large language models, retrieval augmented generation, agents, and their cost structures is beneficial
- An owner mindset and excitement about being in a product-focused environment where everyone cares deeply about customer and business impact
- Experience building platforms and web interfaces, including frontend, APIs, and backend services
- Expertise in Golang, Java, Typescript, SQL is highly desirable
- As part of the interview process, you’ll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn’t required