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职位Glean

Technical Lead, Billing and Revenue Platform

Glean

Technical Lead, Billing and Revenue Platform

Glean

San Francisco Bay Area

·

On-site

·

Full-time

·

2mo ago

薪酬

$210,000 - $260,000

福利待遇

Healthcare

401(k)

Equity

Home Office

Learning

Meals

必备技能

Software engineering

Technical leadership

Systems design

About Glean:

Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.

About the Role:

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.

You will:

  • 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, Rev Ops, 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.

About you:

  • 5+ years of industry software engineering experience, including 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.

  • 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.

Location:

  • This role is hybrid (4 days a week in our San Francisco office).

Compensation & Benefits:

The standard base salary range for this position is $210,000 - $260,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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关于Glean

Glean

Glean

Series B

Glean Technologies, Inc. is an American technology company specializing in enterprise-grade artificial intelligence (AI) and search capabilities.

1-50

员工数

New York

总部位置

$2.2B

企业估值

评价

3.5

1条评价

工作生活平衡

4.0

薪酬

3.0

企业文化

4.0

职业发展

3.8

管理层

3.5

65%

推荐给朋友

优点

Flexibility and choice in team placement

AI-focused work opportunities

Better work culture

缺点

Lower compensation (~$8k difference)

Potential data sharing regulation issues

Regulatory compliance concerns

薪资范围

47个数据点

Senior/L5

Senior/L5 · Total Rewards Manager

1份报告

$276,000

年薪总额

基本工资

$240,000

股票

-

奖金

-

$276,000

$276,000

面试经验

2次面试

难度

3.5

/ 5

时长

14-28周

体验

正面 0%

中性 50%

负面 50%

面试流程

1

Application Review

2

Online Assessment

3

Technical Phone Screen

4

Final Interview

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR