Software Engineer, Billing & Revenue Platform

Glean Glean · Enterprise · Mountain View, CA +1 · Engineering

Software Engineer for Glean's billing and revenue platform, focusing on consumption-based pricing for AI products. The role involves designing and implementing systems for usage metering, pricing logic, credits, and billing dashboards, ensuring accurate billing and margin positivity. It also includes defining guardrails for LLM and agent costs.

What you'd actually do

  1. Work hands-on to design and implement systems for usage metering, pricing logic, credits, and admin-facing billing dashboards.
  2. Drive the evolution of our consumption / Flex pricing infrastructure in a fast-paced environment, with a high bar for correctness, reliability, and debuggability.
  3. Partner with Finance, Pricing, RevOps, and Product to translate pricing strategy into robust technical designs and workflows.
  4. Define and maintain guardrails for LLM and agent costs (e.g., limits, anomaly detection, margin monitoring) so product teams can ship AI features confidently.
  5. Raise the bar for engineering quality through design reviews and code reviews.

Skills

Required

  • 2+ years of industry software engineering experience
  • Experience building backend systems and web interfaces, including frontend, APIs, and backend services.
  • Strong ability to make tradeoffs explicit, and align cross-functional stakeholders around pragmatic decisions.
  • An owner mindset and excitement about being in a product-focused environment where everyone cares deeply about customer and business impact.

Nice to have

  • Expertise in Golang, Java, Typescript, SQL is highly desirable.
  • Experience with or desire to learn large language models, retrieval augmented generation, agents, and their cost structures is beneficial.

What the JD emphasized

  • consumption-based pricing
  • AI products
  • metered, transparently billed, and margin-positive
  • guardrails for LLM and agent costs
  • high bar for correctness, reliability, and debuggability