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gleanwork
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Tech Lead Manager, Apps & App Infrastructure

Оценка ИИ

Отличная позиция в компании-единороге с высокой рыночной оценкой и инновационным продуктом. Высокая зарплата, отличный пакет льгот и работа на острие технологий AI делают эту вакансию крайне привлекательной.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубоких технических навыков (Full-stack, Go, React) и управленческого опыта. Высокая планка обусловлена необходимостью работать с передовыми технологиями LLM и RAG в быстрорастущем стартапе.

Анализ зарплаты

Медиана265 000 $
Рынок220 000 $ – 310 000 $
Оценка ИИ

Предлагаемая зарплата в $250k-$300k находится на верхнем пределе рыночного диапазона для позиции Engineering Manager в Сан-Франциско, что отражает высокий статус компании и сложность задач.

Сопроводительное письмо

I am writing to express my interest in the Tech Lead Manager position for Apps & App Infrastructure at Glean. With over 8 years of engineering experience and a proven track record of leading full-stack teams, I am excited by Glean's mission to redefine enterprise knowledge through generative AI and agentic capabilities. My technical background in React, TypeScript, and Golang, combined with my experience in scaling engineering teams, aligns perfectly with your current growth phase.

In my previous roles, I have successfully balanced hands-on technical contribution with strategic people management, fostering inclusive cultures while delivering high-impact product features. I am particularly drawn to Glean's focus on building elegant abstractions that enable seamless AI integration across diverse enterprise platforms. I am eager to bring my expertise in building delightful web products and my passion for mentoring engineers to help Glean continue its trajectory as a leader in the Work AI ecosystem.

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Откликнитесь в gleanwork уже сейчас

Присоединяйтесь к Glean, чтобы возглавить разработку AI-инструментов нового поколения в одной из самых инновационных компаний мира!

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:

As a Tech Lead Manager, you will drive the full-stack product and product infrastructure development for Glean’s Apps. As a TLM, you’ll provide expert technical direction and thoughtful coaching to a passionate team of engineers. This team will work closely with product management, design, and data science to drive Glean's Apps to the next generation of capabilities, features, performance and enterprise readiness. At the same time, these apps architect powerful, elegant abstractions that enable multiple teams working on Generative AI features to contribute safely and easily to the codebase.

You will:

  • Build a high-performing team with an inclusive and positive team culture.
  • Work hands-on in making technical changes.
  • Provide technical leadership and vision in a widely scoped engineering team.
  • Drive the development of the product and platform in a fast-paced environment.
  • Plan for headcount, iterate on interview processes, and close candidates to help grow the team.
  • Coach and mentor engineers at different levels to achieve their career goals.

About you:

  • 8+ years of engineering with 1+ years of engineering management experience.
  • Experience building delightful web products full stack from frontend, APIs, backend.
  • 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 React, Typescript, Golang, SQL, GCP, and AWS are highly desirable.
  • Experience with or desire to learn large language models, retrieval augmented generation, and agents is beneficial.

Location:

  • This role is hybrid (4 days a week in one of our SF Bay Area offices)

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

  • React
  • TypeScript
  • Go
  • SQL
  • Google Cloud Platform
  • Amazon Web Services
  • Large Language Models
  • Retrieval-Augmented Generation

Возможные вопросы на собеседовании

Проверка баланса между управлением и техническим вкладом, что критично для роли TLM.

Как вы распределяете свое время между написанием кода, архитектурным планированием и управлением командой?

Glean делает упор на инфраструктуру для AI-агентов. Важно понимать, как кандидат проектирует системы для масштабирования.

Опишите ваш опыт проектирования абстракций, которые позволяют другим командам безопасно вносить вклад в общую кодовую базу.

Вакансия предполагает активный найм и развитие команды.

Каков ваш подход к найму инженеров и как вы помогаете своим подчиненным достигать их карьерных целей?

Glean работает с огромным количеством корпоративных данных. Важно понимание безопасности и производительности.

С какими основными сложностями вы сталкивались при обеспечении 'enterprise readiness' (безопасность, масштабируемость) для веб-приложений?

В Glean AI-грамотность является обязательной.

Как вы используете инструменты ИИ в своей повседневной работе инженера или менеджера для повышения эффективности?

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gleanwork
Страна
США
Зарплата
250 000 $ – 300 000 $