- Страна
- США
- Зарплата
- 115 000 $ – 190 000 $
Откликайтесь
на вакансии с ИИ

AI Ops Manager - New York
Высокий балл обусловлен престижем компании (Automattic), уникальностью роли на стыке AI и операционного управления, а также прозрачной и конкурентной заработной платой. Однако требование работы в офисе 5 дней в неделю может быть минусом для тех, кто привык к гибкости.
Сложность вакансии
Роль требует высокого уровня автономности и умения создавать процессы с нуля в быстро меняющейся среде AI. Основная сложность заключается в необходимости балансировать между скоростью внедрения технологий и строгими требованиями безопасности и приватности.
Анализ зарплаты
Предлагаемый диапазон $115k–$190k полностью соответствует рыночным стандартам Нью-Йорка для позиций уровня Technical Program Manager или Ops Manager в технологическом секторе. Верхняя граница диапазона является весьма конкурентной для специалистов с опытом 5+ лет.
Сопроводительное письмо
I am writing to express my strong interest in the AI Ops Manager position at Automattic. With a background in technical program management and a passion for building operational frameworks, I am excited by the opportunity to shape an AI-native culture within a company that powers such a significant portion of the web. My experience in navigating the complexities of tool evaluation, privacy reviews, and cross-functional stakeholder management aligns perfectly with your mission to move from mere experimentation to deep AI integration.
In my previous roles, I have specialized in bringing order to chaos by developing governance structures that empower technical teams rather than slowing them down. I am particularly drawn to Automattic’s unique approach to scaling AI while managing risk, and I am eager to bring my skills in change management and data-driven strategy to your NYC-based team. I look forward to the possibility of contributing to the operational foundation that will enable 1,500 Automatticians to work smarter and faster.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в automatticcareers уже сейчас
Присоединяйтесь к Automattic в Нью-Йорке и станьте архитектором AI-трансформации для компании, управляющей 40% интернета!
Описание вакансии
Location: NYC NoHo Office (5 days a week)
About This Opportunity
We're building something unusual at Automattic: an AI-native culture at a 1,500-person company that powers 40% of the web. Not just adopting AI tools, but fundamentally transforming how we work and ship products at scale.
You’ll own the operational infrastructure that makes this possible. The messy, critical work between “we should use AI” and “we’re actually using AI effectively across 1,500 people”: privacy reviews, tool evaluations, policy development, vendor coordination, adoption tracking, and being the person who can answer “should we use this tool?” and “how should we approach this?”
This isn’t traditional program management. You’re building the governance frameworks and operational practices that help a distributed, highly technical organization move faster with AI while managing risk appropriately. You’ll work in-person with our Head of AI and NYC AI team while supporting AI adoption globally.
Why This Role Matters
Most companies are still asking “should we allow AI tools?” Automattic is asking “how do we use AI tools exceptionally well at scale while managing risk appropriately?” You’ll build the operational foundation that enables 1,500 people to move faster, work smarter, and compete in an AI-driven world.
Your decisions will have unusual leverage: shaping company-wide policy, creating governance infrastructure, and directly impacting how hundreds of millions of users experience AI in Automattic products.
What You’ll Do
- Own change management: design adoption campaigns, identify blockers to AI-native workflows, create enablement resources that move teams from experimentation to integration.
- Own AI governance: triage privacy questions, coordinate tool evaluations with Legal and Security, develop policy frameworks, guide procurement decisions.
- Build operational infrastructure: create processes where none exist, document decisions so teams can move faster, track adoption metrics and ROI.
- Manage cross-functional stakeholders: coordinate across Engineering, Product, Legal, Finance, and HR on AI initiatives and resource allocation.
- Serve as the central point of contact for AI questions across the company; translate ambiguous situations into clear guidance and actionable decisions.
- Report to leadership on AI adoption status, risks, and opportunities; facilitate strategic planning.
- Create dashboards, documentation, and operational playbooks that scale across a distributed organization.
You’ll Thrive Here If You
- Have 3–5+ years in technical program management or product operations at tech companies, managing complex initiatives with multiple stakeholders.
- Bring strong operational instincts. You build processes, create frameworks, and make chaos manageable.
- Excel at stakeholder management. Comfortable presenting to executives, facilitating cross-team discussions, influencing without direct authority.
- Navigate legal, privacy, and security considerations around new technology with confidence.
- Are data-driven. You track metrics, analyze trends, and use data to inform strategy.
- Thrive on bringing order to chaos. You’re energized by building systems that scale and being the “go-to person” for complex situations.
Technical Experience We Value
- Experience managing AI/ML initiatives or evaluating technical products (you don’t need to code, but should understand technical implications).
- Background in vendor evaluation, procurement processes, or technology governance.
- Track record building operational infrastructure or governance frameworks from scratch.
- Experience working with distributed/remote teams and async communication tools.
- Startup experience wearing multiple operational hats.
Bonus Points
- Previous work in management consulting, strategy, or business operations.
- Experience with AI tools in a professional context (understanding the landscape, not necessarily deep technical usage).
- Background supporting engineering or product teams at scale.
At Automattic, we use global salary ranges that do not vary by location. However, because this role is required to be based in our New York City office 5 days a week, we have applied an adjustment to the global band to support additional costs associated with the office-based role requirements. The salary for this role is $115,000–$190,000 USD.
If you later move to a different team or role at Automattic that is not NYC office‑based, your salary would be adjusted to the applicable global pay band for that role, which could result in a reduction in salary. Note that the global range would apply even if your chosen location of residence is NYC.
We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring. #LI-DNI
About Automattic
Now in our 20th year, we’re the people behind WordPress.com, WooCommerce, Beeper, Tumblr, Simplenote, Jetpack, Longreads, Day One, PocketCasts, and more. We believe in making the web a better place.
We’re a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world.
We believe in Open Source, and the vast majority of our work is available under the GPL. Automattic is a Most Loved Company, an Equal Opportunity employer, and Disability Confident Committed. (Here’s what that might mean for you.) If you need disability-related accommodations during the application or interview process, please fill out this form. We are committed to ensuring an accessible hiring process for all candidates. Learn more about our Employee Resource Groups.
You can track your application status and more at MyGreenhouse.
To learn about how we handle your data, please review our Privacy Policy.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the “Know Your Rights: Workplace Discrimination is Illegal” poster here. Automattic participates in the E-Verify program in certain locations, as required by law.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Data Analysis
- Stakeholder Management
- Change Management
- Product Operations
- Technical Program Management
- Governance Frameworks
- Vendor Evaluation
- AI/ML Initiatives
Возможные вопросы на собеседовании
Проверка опыта внедрения новых технологий в крупной организации.
Опишите случай, когда вы внедряли новый инструмент или процесс в масштабах всей компании. С какими препятствиями вы столкнулись и как их преодолели?
Оценка способности работать с юридическими и техническими рисками AI.
Как бы вы подошли к оценке нового AI-инструмента с точки зрения конфиденциальности данных и безопасности, если команда инженеров настаивает на его немедленном внедрении?
Проверка навыков управления изменениями.
Как вы планируете отслеживать эффективность внедрения AI-инструментов среди 1500 сотрудников? Какие метрики вы считаете ключевыми?
Оценка навыков взаимодействия со стейкхолдерами.
Как вы объясните необходимость строгой политики управления AI руководителю продукта, который считает, что это замедляет разработку?
Проверка технического кругозора.
Какие основные операционные риски вы видите при переходе компании на 'AI-native' модель работы в ближайшие два года?
Похожие вакансии
MLOps Engineer (Python)
AI Engineer (CV & Navigation)
Senior / Lead LLM Engineer
Python AI разработчик
Разработчик AI-агентов
Middle, Middle+, Senior GenAI/LLM Разработчик
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
- 115 000 $ – 190 000 $