- Страна
- США
- Зарплата
- 250 000 $ – 300 000 $
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на вакансии с ИИ

Tech Lead Manager, Billing & Insights
Отличная вакансия в компании-единороге с высокой зарплатой, современным стеком и возможностью влиять на ключевые бизнес-метрики продукта в сфере AI.
Сложность вакансии
Высокая сложность обусловлена ролью Tech Lead Manager, требующей сочетания глубокой технической экспертизы (Golang/Java) и управленческого опыта, а также работы с критически важными финансовыми данными.
Анализ зарплаты
Предлагаемая зарплата в $250k-$300k находится на верхнем уровне рыночных ожиданий для позиции Engineering Manager в Сан-Франциско, что соответствует статусу высокотехнологичного стартапа.
Сопроводительное письмо
I am writing to express my interest in the Tech Lead Manager position for the Billing & Insights team at Glean. With over 8 years of engineering experience and a proven track record in managing high-performing teams, I am excited by the opportunity to scale Glean’s consumption-based pricing infrastructure. My background in building revenue-critical systems aligns perfectly with your need for high-integrity, auditable architectures that support complex AI product metering.
Throughout my career, I have focused on bridging the gap between technical architecture and business objectives. I am particularly impressed by Glean's rapid evolution into a full-scale Work AI ecosystem and would welcome the challenge of partnering with Finance and Product teams to ensure every feature is accurately metered and margin-positive. I am eager to bring my expertise in Golang and cloud infrastructure to a team that values both technical excellence and a strong product-focused culture.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в gleanwork уже сейчас
Присоединяйтесь к Glean, чтобы возглавить разработку критически важных систем биллинга для передовой AI-платформы!
Описание вакансии
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.
Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
About the Role:
We’re seeking a Tech Lead Manager to lead the Billing and Insights charter that underpins Glean’s consumption-based pricing and product analytics. As a TLM, you’ll provide expert technical direction and thoughtful coaching to a passionate team of engineers. This team owns the end-to-end stack that makes our AI products metered, billable, and explainable—from logging and usage pipelines to billing dashboards and product insights. You’ll partner closely with Product, Finance, Data, and Go-To-Market to ensure every AI feature we ship is accurately metered, transparently billed, margin-positive, and easy for customers to understand.
You will:
- Build a high-performing team with an inclusive and positive team culture.
- Provide technical leadership and vision in a widely scoped engineering team.
- Drive the development of the product and platform in a fast-paced environment.
- Coach and mentor engineers at different levels to achieve their career goals.
- Champion best practices in software development, quality assurance, and project management to drive operational excellence.
- Drive the evolution of our consumption / Flex pricing infrastructure and insights experiences in a fast-paced environment.
- Partner with Finance, Pricing, RevOps, and Product to translate pricing and reporting needs into robust technical architecture and workflows.
About you:
- 8+ years of engineering with 2+ years of engineering management experience.
- Meaningful experience with billing, payments, pricing, or other revenue-critical systems (usage-based or subscription); or you have built similarly high-integrity, auditable systems.
- Proficiency in recruiting, organizing, and motivating teams.
- Passionate about helping people grow in their careers and people management.
- An owner mindset and passionate about being in a product-focused environment where everyone cares deeply about customer impact.
- Expertise in Golang, Java, Typescript, SQL, GCP / AWS are highly desirable.
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 $250,000 - $300,000 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.
#LI-HYBRID
AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. 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.
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Навыки
- Project Management
- TypeScript
- AWS
- Quality Assurance
- SQL
- Software Development
- Google Cloud Platform
- Java
- Go
Возможные вопросы на собеседовании
Проверка опыта работы с высоконагруженными финансовыми системами.
Расскажите о самой сложной проблеме целостности данных, с которой вы столкнулись в системе биллинга, и как вы её решили?
Оценка навыков управления и развития команды.
Как вы подходите к менторству инженеров разного уровня и как помогаете им достигать карьерных целей в быстрорастущем стартапе?
Проверка способности взаимодействовать с бизнесом.
Как вы балансируете между техническим долгом и необходимостью быстрого запуска новых моделей ценообразования по запросу отдела продаж или финансов?
Оценка технического видения.
Какие архитектурные паттерны вы считаете наиболее эффективными для построения масштабируемой системы учета потребления (metering) в реальном времени?
Проверка соответствия AI-культуре компании.
Как вы используете или планируете использовать AI-инструменты для повышения эффективности работы вашей инженерной команды?
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- Страна
- США
- Зарплата
- 250 000 $ – 300 000 $