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США
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Manager II, Production Engineering

Оценка ИИ

Высокая оценка обусловлена престижностью компании, прозрачным и конкурентным диапазоном зарплаты, а также современным стеком технологий и фокусом на инновации (AI).


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует сочетания глубоких технических знаний в области SRE/Infrastructure и сильных управленческих навыков. Особое внимание уделяется умению работать в условиях неопределенности и внедрению AI-инструментов в рабочие процессы.

Анализ зарплаты

Медиана245 000 $
Рынок190 000 $ – 310 000 $
Оценка ИИ

Предлагаемый диапазон ($164k - $339k) полностью соответствует и даже превышает рыночные стандарты для позиции Engineering Manager II в технологических компаниях уровня Tier-1 в США. Верхняя граница диапазона значительно выше медианы, что отражает готовность компании платить за исключительный опыт.

Сопроводительное письмо

I am writing to express my strong interest in the Manager II, Production Engineering position at Pinterest. With over several years of experience in leading SRE and Infrastructure teams, I have developed a deep understanding of how to balance operational excellence with high engineering velocity. My approach to leadership centers on fostering an inclusive environment where engineers are empowered to innovate, take calculated risks, and leverage modern tools like AI to drive efficiency.

Throughout my career, I have successfully navigated complex distributed systems and driven technical architecture decisions across diverse technology stacks. I am particularly drawn to Pinterest's mission of bringing inspiration to the world and your forward-thinking integration of AI into the engineering workflow. I am confident that my expertise in reliability best practices, public cloud platforms, and infrastructure automation will allow me to make a significant impact on your Production Engineering organization.

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Откликнитесь в pinterest уже сейчас

Присоединяйтесь к Pinterest и возглавьте команду, которая строит будущее надежных и масштабируемых систем с использованием передовых AI-технологий!

Описание вакансии

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Production Engineering at Pinterest is an evolution of our Site Reliability Engineering organization blending a hybrid of systems and software engineering with a focus on scaling, resiliency, reliability, performance, and efficiency. Our organization accomplishes this through building & integrating software, increasing automation, and infusing our knowledge & best practices into our Platform products so we can scale our large distributed systems to keep our customers happy, and our Pinners inspired. We also do this by developing short and long term embedded engagements with our engineering partners to help remove barriers, up-level reliability & best practices, and maintain a high consistent bar for reliability in a fast paced ever changing environment. We are always on a mission to improve reliability while also increasing engineering velocity, reducing toil and KTLO impact for both ourselves and our customers:  fast, efficient, quality - we will accomplish all three!

What you’ll do:

  • Lead our engineers to deliver on the biggest impact work across engineering to ensure we’re infusing best practices into our products relating to reliability, scalability, performance and efficiency
  • Drive technical architecture discussions; including being capable of driving and decision making for technology or applications that you have not had previous experience with
  • Continuously assess your team’s performance, address and coach under-performance, and recognize and promote high performance
  • Create an inclusive and welcoming workplace where every team member feels valued and supported
  • Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality
  • Foster an environment of open and honest communication, allowing team members to be safe to fail, encourage risk taking with a fail-fast mentality, and establish forums where they can share their ideas
  • Empower engineers to develop their careers, matching their strengths with projects tailored to their skill levels, long-term skill development, personalities, and work styles
  • Create an inspiring team charter and direction that align with the goals of the broader Production Engineering organization
  • Develop strong partnerships with Product & Program Management partners across infrastructure by communicating a clear and impactful vision and priorities
  • Establish team norms around planning, execution, and continuous improvement

What we’re looking for:

  • 3+ years experience managing teams within an SRE, Production Engineering or other Platform/Infrastructure organizations
  • Customer obsession: Demonstrated ability to work cohesively and build relationships with partners across engineering disciplines and capable of influencing without authority
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
  • Familiarity with the concepts and use cases for SDLC including SCM tools, Build platforms, test frameworks, CI/CD products
  • Familiar with usage and high level architecture of data platform technologies such as relational databases, storage & caching, key value stores, time series data stores, etc.
  • Strong domain expertise in reliability concepts and best practices with the ability to innovate and provide thought leadership and direction in this problem space
  • Hands on familiarity with public cloud platforms such as AWS, GCP, or Azure
  • Knowledge of Linux systems internals and networking
  • Thrive in an environment with a lot of ambiguity with the ability to be self sufficient and ruthlessly prioritize the highest impact projects
  • Infrastructure technologies such as Docker, Kubernetes, Tensorflow, ElasticSearch, ZooKeeper, and Infrastructure as code (e.g. Terraform, Puppet, Chef, Ansible, Salt, Fabric, etc)
  • Heavy bias toward action; able to drive resolution and making quick decisions balancing being data driven along with leveraging your experience & judgement

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit ourPinFlex page to learn more about our working model.

 #LI-REMOTE

#LI-JT1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$164,695—$339,078 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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Навыки

  • SRE
  • Production Engineering
  • Linux
  • AWS
  • GCP
  • Azure
  • Docker
  • Kubernetes
  • Terraform
  • Puppet
  • Chef
  • Ansible
  • SaltStack
  • ElasticSearch
  • Zookeeper
  • TensorFlow
  • CI/CD
  • SDLC

Возможные вопросы на собеседовании

Проверка опыта управления в специфической среде SRE/Production Engineering.

Расскажите о случае, когда вам пришлось балансировать между необходимостью быстрого выпуска фич и обеспечением надежности системы. Как вы принимали решение?

Вакансия делает большой упор на использование AI.

Как именно вы используете AI в своей повседневной работе менеджера для повышения эффективности команды или анализа данных?

Оценка навыков технического лидерства.

Опишите ситуацию, когда вам нужно было принять архитектурное решение в области, с которой вы не были знакомы ранее. Каков был ваш процесс?

Проверка умения развивать таланты.

Как вы подходите к коучингу инженеров с разным уровнем производительности и как помогаете им строить карьерный путь внутри организации?

Оценка навыков приоритизации.

Как вы подходите к 'ruthless prioritization' (беспощадной приоритизации) в условиях высокой неопределенности и ограниченных ресурсов?

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pinterest
Страна
США
Зарплата
164 695 $ – 339 078 $