- Страна
- США
- Зарплата
- 140 000 $ – 265 000 $
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Software Engineer, AI & Security
Glean — одна из самых инновационных компаний в сфере ИИ с отличным финансированием и сильной командой. Высокая зарплата, отличный пакет льгот и работа над передовыми технологиями делают эту вакансию крайне привлекательной для опытных инженеров.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям одновременно в трех областях: разработке ПО (5+ лет), информационной безопасности и внедрении ИИ. Работа предполагает создание систем с нуля (greenfield) и гибридный график в Пало-Альто.
Анализ зарплаты
Предлагаемый диапазон $140k–$265k полностью соответствует рыночным стандартам Кремниевой долины для опытных инженеров (Senior/Staff level). Верхняя граница диапазона даже несколько превышает медиану, что подчеркивает высокую ценность специалистов на стыке AI и Security.
Сопроводительное письмо
I am writing to express my strong interest in the Software Engineer, AI & Security position at Glean. With over five years of experience in product engineering and a deep background in developing enterprise security solutions, I am excited by Glean's mission to redefine how organizations govern and scale AI. My expertise in building scalable distributed systems and my proficiency in Golang and TypeScript align perfectly with your tech stack and the requirements for this greenfield role.
In my previous roles, I have successfully integrated AI/ML capabilities into security products, balancing complex engineering constraints with the need for intuitive user experiences. I am particularly drawn to Glean's focus on the Enterprise Graph and agentic capabilities. I am a proactive engineer who thrives in cross-functional environments, and I am eager to bring my user-centric approach to your Palo Alto team to help build robust, future-proof APIs and data pipelines that ensure enterprise trust.
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Откликнитесь в gleanwork уже сейчас
Присоединяйтесь к лидерам в области корпоративного ИИ и создавайте будущее безопасности данных в Glean!
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.
Glean is looking for driven engineers to solve cutting edge problems in data and AI security and governance. In a rapidly growing startup, this entails empathizing with customer needs, understanding the problems and research in the domain to come up with novel solutions to challenging problems. Engineers are expected to develop ideas with product managers and designers to best balance engineering constraints with requirements, delivering intuitive experiences that enterprises can rely on to keep their users safe.
You will:
- Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond
- Provide leadership and mentor more junior engineers
- Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions
- Architect data pipelines, AI models, and REST APIs that are backed by stable, scalable server side implementations and maximize product flexibility for rapidly meeting evolving domain requirements
- Write robust code that’s efficient, easy to read, maintain and test
About You:
- 5+ years of experience in product engineering
- Experience developing enterprise security products
- Experience in using AI/ML in the product
- BA/BS in computer science, or related degree
- Experience building and shipping scalable features across the frontend and backend
- Thrive in a customer-focused, tight-knit and cross-functional environment
- A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features
- A user-centric and empathetic mentality for product development
- Love authoring easy-to-hold and future-proof REST APIs, OpenAPI is a plus
- Experience building distributed CRUD level functionality, ideally both SQL and NoSQL
- Comfortable with or desire to master Golang, Java and TypeScript
- Comfortable with effective use of AI tools for development
Location:
- This role is hybrid (4 days a week in our Palo Alto office)
Compensation & Benefits:
The standard base salary range for this position is $140,000 - $265,000 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
- Golang
- Java
- TypeScript
- REST API
- OpenAPI
- SQL
- NoSQL
- Distributed Systems
- Machine Learning
- Artificial Intelligence
- Cybersecurity
Возможные вопросы на собеседовании
Проверка опыта в специфической нише безопасности корпоративных данных.
Расскажите о наиболее сложной проблеме безопасности, которую вы решали при разработке корпоративного продукта. Как вы сбалансировали защиту и удобство пользователя?
Оценка навыков проектирования масштабируемых систем.
Как бы вы спроектировали архитектуру для обработки и индексации огромных объемов неструктурированных данных из различных SaaS-источников, обеспечивая при этом разграничение прав доступа в реальном времени?
Проверка практического опыта работы с ИИ в контексте безопасности.
Какие методы вы используете для предотвращения утечки конфиденциальных данных (DLP) или атак типа 'prompt injection' в LLM-приложениях?
Оценка владения основным стеком компании.
В каких сценариях вы предпочтете использовать Golang вместо Java для разработки микросервисов, и как вы обеспечиваете типобезопасность при работе с TypeScript на фронтенде?
Проверка лидерских качеств и продуктового мышления.
Опишите ваш опыт менторства младших коллег и то, как вы взаимодействуете с дизайнерами и менеджерами продуктов для уточнения требований к новым фичам.
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- Страна
- США
- Зарплата
- 140 000 $ – 265 000 $