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Manager II, Engineering
Pinterest — это престижный бренд с сильной инженерной культурой. Позиция предлагает работу на острие технологий (GenAI) и прямое влияние на выручку компании, что делает её крайне привлекательной для опытных менеджеров.
Сложность вакансии
Высокая сложность обусловлена требованиями к управленческому опыту (3+ года) и глубокой технической экспертизе в области GenAI, LLM и высоконагруженных систем. Роль предполагает лидерство в кросс-функциональной среде и управление полным циклом разработки (mobile + backend).
Анализ зарплаты
Предлагаемая роль Manager II в Pinterest соответствует уровню Senior Engineering Manager. В Торонто рынок для таких позиций в топовых технологических компаниях (Big Tech) находится в диапазоне 200-280 тысяч CAD базовой зарплаты, не включая опционы и бонусы.
Сопроводительное письмо
I am writing to express my strong interest in the Manager II, Engineering position for the Verticalized Shopping team at Pinterest. With over 9 years of experience in software engineering and a proven track record of leading high-performing product teams, I am excited by the opportunity to bridge the gap between inspiration and action using generative AI. My background in building large-scale distributed systems and consumer-facing mobile experiences aligns perfectly with your mission to make every Pin actionable.
In my previous roles, I have successfully fostered experiment-led cultures and scaled AI-driven personalization systems that significantly improved user engagement and conversion. I am particularly drawn to Pinterest's 'AI-first' interview philosophy and your commitment to using LLMs as a force multiplier for innovation. I am confident that my technical vision and leadership style will help the Verticalized Shopping team set a new bar for craft and speed while delivering seamless commerce experiences for Pinners and merchants alike.
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Откликнитесь в pinterest уже сейчас
Присоединяйтесь к Pinterest, чтобы возглавить разработку инновационных AI-решений для шопинга и управлять командой мирового уровня в Торонто!
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.
We are looking for an Engineering Manager to lead Verticalized Shopping - an end to end mobile and backend team that makes every Pin actionable, from first spark of inspiration to purchase. You will own the technical vision and execution for shopping experiences that cut across Ads, Content, and Growth, and pioneer how we use genAI to turn messy human inspiration into clear next steps for Pinners. Your team will move fast, ship experiments, and learn in the open to drive utility, retention and revenue, working closely with Product, Design, Data Science and our commerce partnerships. You will hire and grow high caliber engineers, set a high bar for craft and speed, and build simple systems and processes that let the team do the best work of their careers while shaping the future of commerce on Pinterest.
What will you be doing:
- Leading an end to end mobile and backend team that makes every Pin more shoppable and actionable
- Owning the technical roadmap for verticalized shopping across Ads, Content and Growth
- Pioneering how we use genAI to turn inspiration into clear next steps for Pinners
- Driving an experiment led culture that learns fast on utility, retention and revenue
- Hiring growing and inspiring high caliber engineers to do the best work of their careers
- Pioneer the use of generative AI to transform unstructured user inspiration into actionable, shoppable moments, elevating the end-to-end mobile and backend shopping experience.
- Integrate AI-driven personalization and recommendation systems to connect Pinners with relevant products, improving conversion rates and user satisfaction across Ads, Content, and Growth surfaces.
- Lead your team in rapidly designing, prototyping and scaling AI-powered experiments, while building the technical harness, context, retrieval, prompt orchestration, evaluation and guardrails, that makes LLM systems predictable, high quality and production ready.
What we’re looking for:
- 9+ years of experience in software engineering, 3+ years in engineering management leading end to end product teams
- A thought leader and cross functional partner who drives innovation and gets high performance from strong engineers
- Proven experience building large scale distributed systems and mobile experiences in consumer, ads or commerce domains
- Deep comfort with experiments, metrics and ambiguity - you use data and fast iteration to find product market fit
- Excitement about applied genAI and how it can turn content into action for Pinners, merchants and advertisers
- Demonstrated success leveraging generative AI or machine learning to build scalable consumer products, with a strong focus on experiment velocity and quality of recommendations.
- Proven ability to build the technology, processes and playbooks that harness LLMs effectively, giving models the right context and controls to produce reliable, high-quality outputs.
- Enthusiasm for creating frameworks and fostering a team culture that uses AI as a force multiplier accelerating learning, operational efficiency, and innovation in shopper engagement and commerce technology.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit ourPinFlex page to learn more about our working model.
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 per quarter and therefore needs to be in a commutable distance from the Toronto office (85 Richmond St. W).
#LI-HYBRID
#LI-CH1
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
- Generative AI
- Large Language Models
- Distributed Systems
- Mobile Development
- Backend Development
- Machine Learning
- A/B Testing
- Product Management
Возможные вопросы на собеседовании
Проверка опыта внедрения современных AI-технологий в реальные продукты.
Расскажите о вашем опыте внедрения Generative AI или LLM в потребительские продукты: с какими основными сложностями в обеспечении предсказуемости ответов вы столкнулись?
Оценка навыков управления командой и развития талантов.
Как вы подходите к найму и удержанию инженеров высокого уровня (high caliber) в условиях жесткой конкуренции на рынке?
Проверка умения работать с данными и гипотезами.
Опишите случай, когда результаты эксперимента противоречили вашим ожиданиям. Как вы адаптировали техническую дорожную карту на основе этих данных?
Оценка архитектурного мышления в контексте e-commerce.
Как бы вы спроектировали систему, которая превращает неструктурированный контент (изображения/описания) в структурированные данные для покупки, обеспечивая при этом низкую задержку (latency)?
Проверка лидерских качеств и взаимодействия с бизнесом.
Как вы балансируете между необходимостью быстрого выпуска экспериментов и поддержанием высокого качества кода и стабильности систем?
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