Software Engineer, Billing & Revenue Platform

Details

Glean is seeking a lead engineer to drive the billing and revenue platform that powers consumption-based pricing for its AI products. The role provides deep technical leadership and ownership of critical parts of the billing stack, ensuring AI features are accurately metered, transparently billed, and margin-positive. The engineer will also design abstractions that enable product teams to integrate safely with billing systems, from logging usage to surfacing billing insights in the admin console.

Responsibilities

• Design and implement systems for usage metering, pricing logic, credits, and admin-facing billing dashboards.
• Provide technical leadership and vision across data pipelines, backend services, and web UX.
• Drive the evolution of consumption-based and Flex pricing infrastructure with a focus on correctness, reliability, and debuggability.
• Partner with Finance, Pricing, Revenue Operations, and Product to translate pricing strategy into robust technical designs and workflows.
• Define and maintain guardrails for LLM and agent costs, including limits, anomaly detection, and margin monitoring.
• Raise engineering quality through design reviews, code reviews, and mentoring.

Requirements

• 8+ years of industry software engineering experience.
• Experience building platforms and web interfaces, including frontend applications, APIs, and backend services.
• Meaningful experience with billing, payments, pricing, or other revenue-critical systems, including usage-based or subscription systems; alternatively, experience building 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 enthusiasm for a product-focused environment.
• Expertise in Go, Java, TypeScript, and SQL is highly desirable.
• Experience with, or willingness to learn about, large language models, retrieval-augmented generation, agents, and their cost structures is beneficial.
• Candidates will complete a brief AI-focused exercise or discussion during the interview process.

Benefits

• Medical, vision, and dental coverage.
• Generous time-off policy.
• 401(k) plan.
• Home office improvement stipend.
• Annual education and wellness stipends.
• Regular company events.
• Healthy lunches provided daily.
• Diverse and inclusive workplace.

Work Location

This is a hybrid role requiring four days per week in the Mountain View office.