- Страна
- США
- Зарплата
- 198 000 $ – 235 500 $
Откликайтесь
на вакансии с ИИ

Senior Technical Program Manager, Infrastructure (TPM)
Отличная позиция в топовом ИИ-стартапе с высокой зарплатой, щедрыми бонусами и возможностью работать над передовыми технологиями. Высокий балл за инновационность компании и прозрачные условия компенсации.
Сложность вакансии
Роль требует глубокого технического бэкграунда в облачной инфраструктуре (AWS/GCP) и опыта управления сложными кросс-функциональными программами более 8 лет. Высокая планка обусловлена необходимостью работать на стыке SRE, ML и финансов в быстрорастущем ИИ-стартапе.
Анализ зарплаты
Предлагаемая зарплата ($198k - $235k) находится на верхнем уровне рыночных ожиданий для Senior TPM в районе Пало-Альто, особенно учитывая дополнительные бонусы и опционы. Это конкурентное предложение даже для Tier-1 компаний Кремниевой долины.
Сопроводительное письмо
I am writing to express my interest in the Senior Technical Program Manager, Infrastructure position at Glean. With over 8 years of experience in technical program management and a deep background in scaling distributed systems, I am particularly drawn to Glean’s mission of redefining enterprise knowledge through an AI-first ecosystem. My experience in orchestrating complex infrastructure roadmaps and partnering with SRE and ML teams aligns perfectly with your goal of building a resilient, cost-efficient foundation for agentic AI.
In my previous roles, I have successfully led cross-functional initiatives to optimize cloud resource utilization and streamline deployment pipelines for high-growth platforms. I am excited by the challenge of managing Glean’s infrastructure roadmap across storage, runtime, and AI workloads, especially as you scale to support over 100 SaaS connectors. I am a firm believer in automation and reliability as the cornerstones of enterprise trust, and I look forward to bringing my builder mindset to your Palo Alto team.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в gleanwork уже сейчас
Присоединяйтесь к Glean, чтобы масштабировать инфраструктуру ИИ 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:Glean is seeking a Senior Infrastructure Technical Program Manager (TPM) to lead large-scale, cross-functional initiatives that define, scale, and optimize our infrastructure platform.
This role sits at the intersection of infrastructure engineering, reliability, cost efficiency, and AI systems, driving programs that ensure Glean’s platform remains performant, scalable, and resilient as we continue to grow.
You’ll partner closely with Infra, AI/ML, and Platform Engineering teams to design orchestration systems, streamline deployments, and build the foundations that power our search and AI capabilities.
You’ll play a central role in:
- Driving the company’s Infrastructure roadmap across Setup & Deployment, Runtime, Storage, and AI Infra.
- Leading cross-functional programs that improve scalability, reliability, cost efficiency, and developer velocity.
- Defining and orchestrating how Glean instances are deployed, upgraded, and monitored at scale.
- Partnering with AI and Data teams to evolve our ML pipelines, model training infrastructure, and LLM serving stack.
- Leading initiatives to improve observability, configuration management, and resource utilization.
- Coordinating capacity planning, infrastructure migrations, and performance optimization programs.
- Building clear visibility into infra cost drivers and partnering with finance and engineering leaders on optimization initiatives.
You will:
- Lead end-to-end infra programs spanning compute, networking, storage, orchestration, and AI workloads.
- Partner with Engineering to define standards for environment provisioning, deployment automation, and configuration governance.
- Develop and operationalize frameworks for runtime health, scaling, and disaster recovery.
- Drive consistency and automation across deployment orchestration systems.
- Establish clear metrics for reliability, performance, and cost efficiency.
- Coordinate cross-team delivery of high-impact programs such as data pipeline scalability, LLM infrastructure expansion, or infra observability improvements.
- Communicate program status and technical risks effectively to leadership and stakeholders.
- Continuously identify process or system bottlenecks, and drive automation to improve speed and reliability of infra operations.
About you:
- BS/MS in Computer Science, Engineering, or a related technical field.
- 8-10+ years of experience in technical program management, infrastructure, or SRE, with at least 3-5 years managing infra or platform-scale programs.
- Proven success delivering cross-functional infrastructure programs in B2B or enterprise environments where scalability, uptime, and performance are critical.
- Experience working closely with Infra, SRE, and ML/AI teams on distributed systems or data infrastructure.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) including compute, networking, storage, and orchestration systems.
- Understanding of data pipelines, ML training workflows, and LLM runtime infrastructure is a plus.
- Ability to structure complex multi-quarter infrastructure programs with clear milestones and measurable impact.
- Strong written and verbal communication and ability to manage through ambiguity, anticipate scaling challenges, and align teams across priorities.
- Builder mindset with focus on automation, reliability, and efficiency.
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 $198,000 - $235,500 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.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- AWS
- Google Cloud Platform
- Azure
- SRE
- Kubernetes
- Machine Learning Infrastructure
- Distributed Systems
- Capacity Planning
- Observability
- Configuration Management
Возможные вопросы на собеседовании
Проверка опыта управления сложными проектами с множеством зависимостей.
Опишите наиболее сложную инфраструктурную программу, которой вы руководили. Как вы управляли рисками и зависимостями между командами разработки и эксплуатации?
Оценка навыков оптимизации затрат, что критично для ИИ-инфраструктуры.
Как вы подходите к анализу затрат на облачную инфраструктуру и какие конкретные стратегии оптимизации вы внедряли в прошлом?
Проверка технической грамотности в области современных ИИ-стеков.
С какими основными вызовами вы сталкивались при масштабировании инфраструктуры для обучения или обслуживания LLM (Large Language Models)?
Оценка способности работать в условиях неопределенности стартапа.
Как вы расставляете приоритеты в дорожной карте инфраструктуры, когда требования от продуктовых команд и команд ИИ конфликтуют между собой?
Проверка культуры автоматизации.
Какую роль, по вашему мнению, играет автоматизация в обеспечении надежности (reliability) и как вы измеряете успех внедрения новых стандартов деплоя?
Похожие вакансии
Sr. Program Manager – Engineering Quality & Reporting Systems
Senior Technical Program Manager
Senior Staff Technical Program Manager (AI Platform/OS)
Senior Director, Program Management
Senior Program Manager - Product Marketing
Contractor Engagement Agent - Sr. Associate
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 198 000 $ – 235 500 $