- Страна
- США
- Зарплата
- 220 000 $ – 260 000 $
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Staff Engineer / Engineering Manager
Исключительная возможность для карьерного роста в лидирующей ИИ-компании с конкурентной зарплатой и сильной командой из топовых тех-гигантов. Удаленный формат работы и участие в создании будущего GenAI делают вакансию крайне привлекательной.
Сложность вакансии
Роль требует редкого сочетания глубоких технических знаний в области инфраструктуры (Kubernetes, Terraform) и опыта управления распределенными командами в быстрорастущем ИИ-стартапе. Высокая планка ожиданий обусловлена необходимостью работы с передовыми технологиями обучения LLM и RL.
Анализ зарплаты
Предлагаемый диапазон $220k - $260k соответствует верхнему сегменту рынка для позиций Staff Engineer и Engineering Manager в Сан-Франциско, особенно с учетом дополнительного опциона (Equity). Это выше медианы для стандартных продуктовых компаний, что отражает высокую сложность задач в сфере ИИ.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Engineer / Engineering Manager position at Turing. With a robust background in building scalable platform infrastructure and leading high-performing engineering teams, I am particularly drawn to Turing's mission of accelerating frontier AI research. My experience in designing RL environments and managing large-scale cloud infrastructure aligns perfectly with your goal of evolving a world-class GenAI training platform.
Throughout my career, I have successfully balanced hands-on technical execution with strategic leadership, often navigating the complexities of geographically distributed teams. I have a proven track record of implementing robust CI/CD pipelines and infrastructure-as-code solutions that significantly enhance developer productivity. I am excited about the prospect of bringing my expertise in AWS/GCP and Kubernetes to help Turing scale its foundational systems and drive transformative outcomes for global enterprises.
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Описание вакансии
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more atwww.turing.com
About the Role
We are seeking an experienced Platform & Product Engineering Leader to build, scale, and evolve the world-class GenAI training platform, including the large-scale RL environments and data generation systems that train large language models and multimodal agents to improve performance in specialized domains from coding, reasoning, compute use to STEM and more.
In this critical role, you will partner cross-functionally with our engineering, product, data science and research teams to design and deliver a highly available, secure, and rapidly deployable platform that fuels innovation at a massive scale.
You will lead a team operating horizontally across multiple product verticals, ensuring Turing’s foundational systems can scale effectively to meet our exponential growth while maintaining exceptional developer productivity and agility. This role requires a balance of hands-on technical execution, strategic leadership, and a long-term platform vision.
Responsibilities
- Strategic Leadership & Execution
- Define the technical vision and roadmap for verticals in the platform and product teams, ensuring tight alignment with Turing’s overall product and company strategy.
- Anticipate and proactively solve scaling challenges related to our global developer network and AI systems, designing solutions that improve performance, observability, and reliability.
- Translate complex internal infrastructure and AI/ML needs into actionable platform initiatives and robust architecture improvements.
- Lead strategic planning sessions with Product, Infrastructure, and AI/ML leads to drive key business outcomes.
- Team Leadership & Culture
- Manage and mentor a high-performing, geographically distributed teams, fostering a collaborative, highly autonomous, and outcome-driven culture.
- Provide continuous feedback, coach for high performance, and amplify individual strengths across the team.
- Partner with the People team to attract, retain, and grow top-tier, global engineering talent for Turing.
- Champion a culture of engineering excellence, accountability, and innovation across all development teams.
- Technical Delivery
- Oversee end-to-end technical execution: design, implementation, testing, and rollout of core platform components.
- Contribute to technical design reviews and the codebase when necessary, ensuring the highest technical quality and sound architectural choices.
- Build advanced automation, monitoring, and CI/CD systems that dramatically improve engineering velocity and system reliability across the global platform.
- Collaborate with Security, Finance, and Operations teams to align on governance, compliance, and cloud cost efficiency.
Who You Are
- A strategic thinker and hands-on leader who thrives at the intersection of scalable system design and implementation, developer productivity, and rapid company growth.
- A builder who knows how to balance execution speed with the long-term scalability required for a massive global platform heavily integrated with AI agents.
- Comfortable navigating ambiguity, identifying system bottlenecks, and creating processes that scale with a fully remote and global team.
- Data-driven in your approach and deeply passionate about building a strong, world-class engineering culture.
Requirements
- Experience:
+ 2+ years of proven experience in engineering management and leadership roles, preferably within high-performance, product-driven environments OR experience leading projects with a 3-5 person team
+ Extensive experience building and maintaining production infrastructure systems supporting multiple product verticals.
+ Demonstrated success in designing and deploying infrastructure that supports AI/ML capabilities.
+ Hands-on technical expertise in major cloud environments (AWS/GCP/Azure), Kubernetes, CI/CD, observability tools, and infrastructure-as-code tools (e.g., Terraform).
+ Strong communication and stakeholder management skills across engineering, product, and operations in a remote setting.
Bonus Points
- Experience working in a rapidly scaling startup or platform-oriented company.
- Strong understanding of security, compliance, and cost optimization in large-scale cloud environments.
Why Join Turing
At Turing, you’ll be building the future of work. We offer the opportunity to:
- Shape the Platform: You’ll have the autonomy and opportunity to shape the foundation of a world-class, AI-driven platform organization from the ground up.
- Work with the Best: Collaborate with engineers and researchers in top AI research labs and companies like OpenAI, Anthropic, Google, Meta in advancing GenAI super-intellengence.
- Drive Massive Impact: Drive impact at a global scale, accelerating Turing’s ability to innovate and connect the world's best talent with great jobs.
- Culture of Excellence: Join a remote culture that values autonomy, high standards, continuous learning, and making a difference.
Salary Range: $220,000 - $260,000 + Equity
Values:
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing:
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
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Навыки
- AWS
- Azure
- Python
- Terraform
- GCP
- Machine Learning
- Kubernetes
- CI/CD
- Infrastructure as Code
- Observability
Возможные вопросы на собеседовании
Проверка опыта масштабирования систем в условиях быстрого роста компании.
Расскажите о случае, когда вам пришлось перепроектировать архитектуру платформы, чтобы справиться с десятикратным ростом нагрузки. Какие компромиссы были выбраны?
Оценка навыков управления в удаленном и распределенном формате.
Как вы поддерживаете высокую продуктивность и вовлеченность в географически распределенной команде инженеров с разными часовыми поясами?
Проверка технической экспертизы в области ИИ-инфраструктуры.
С какими специфическими проблемами инфраструктуры вы сталкивались при развертывании систем для обучения или инференса больших языковых моделей (LLM)?
Оценка способности балансировать между управлением и написанием кода.
Как вы распределяете свое время между стратегическим планированием, менторством и непосредственным участием в техническом дизайне или написании кода?
Проверка финансовой грамотности в управлении облачными ресурсами.
Какие стратегии оптимизации затрат на облачные вычисления (Cloud Cost Optimization) вы внедряли в проектах с интенсивным использованием GPU или больших кластеров Kubernetes?
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- Страна
- США
- Зарплата
- 220 000 $ – 260 000 $