Technical Lead, Billing & Revenue Platform

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

Lead engineer for Glean's billing and revenue platform, responsible for the systems that power consumption-based pricing for AI products. This role involves technical leadership, end-to-end ownership of billing stack components, and collaboration with Product, Finance, and Go-To-Market teams to ensure accurate metering, transparent billing, and margin positivity for AI features. The role also includes designing abstractions for product teams to integrate with billing and defining guardrails for LLM and agent costs.

What you'd actually do

  1. Act as the technical lead for key initiatives across our billing and revenue platform.
  2. Work hands-on to design and implement systems for usage metering, pricing logic, credits, and admin-facing billing dashboards.
  3. Provide technical leadership and vision across a broad billing surface area, spanning data pipelines, backend services, and web UX.
  4. Drive the evolution of our consumption / Flex pricing infrastructure in a fast-paced environment, with a high bar for correctness, reliability, and debuggability.
  5. Partner with Finance, Pricing, RevOps, and Product to translate pricing strategy into robust technical designs and workflows.

Skills

Required

  • 5+ years of industry software engineering experience
  • 2 years as tech lead or lead engineer on complex projects
  • Experience building platforms and web interfaces, including frontend, APIs, and backend services
  • Meaningful experience with billing, payments, pricing, or other revenue-critical systems (usage-based or subscription); or you have built similarly high-integrity, auditable systems
  • Strong ability to drive technical direction, 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

  • 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

  • high bar for correctness, reliability, and debuggability
  • revenue-critical systems
  • high-integrity, auditable systems