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Senior Product Manager, CRM
Squarespace — престижный работодатель с отличным пакетом льгот (100% страховка, питание, длительные отпуска по уходу за ребенком). Позиция предлагает высокую степень влияния на продукт и работу с передовыми технологиями в международной среде.
Сложность вакансии
Роль требует глубоких технических знаний в области архитектуры данных, backend-систем и AI/ML, а также опыта управления сложными интеграциями в крупном масштабе. Высокий уровень ответственности за стратегию данных всей компании повышает планку требований к кандидату.
Анализ зарплаты
Зарплата для Senior PM в Дублине в технологическом секторе обычно начинается от 85,000 EUR и может достигать 120,000 EUR плюс бонусы и акции. Squarespace известен конкурентными предложениями, соответствующими верхнему уровню рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Product Manager, CRM Backend position at Squarespace. With over 5 years of experience in product management and a deep focus on backend systems and data modeling, I have a proven track record of building scalable platform solutions that empower both internal teams and end-users. My background in managing complex third-party integrations and leveraging AI/ML for data normalization aligns perfectly with your mission to provide merchants with a 360-degree view of their customer data.
In my previous roles, I have successfully led cross-functional teams of engineers and data scientists to redefine core data strategies, ensuring long-term viability and performance. I am particularly drawn to Squarespace's design-driven approach and the opportunity to work on a product that helps millions of entrepreneurs scale their businesses. I am confident that my technical expertise in data management and my passion for modern product discovery will allow me to make a significant contribution to the Client Engagement team in Dublin.
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Описание вакансии
The Squarespace Client Engagement team is looking for a Senior Product Manager, CRM Backend to drive the strategy and execution of our core CRM platform and data model.
Our Client Engagement group, the CRM team, helps merchants connect with their customers by providing them with a 360 view into their data, enabling users to reach the right customer at the right time, with minimal effort. We are a team committed to building products that help merchants retain customers. You will work closely with other Product Managers, Data Engineering, and various teams across the organization that rely on customer data.
This is an opportunity for you to craft the fundamental data and platform strategy for our CRM offering, ensuring its scalability and long-term viability as a critical company asset.
This is a hybrid role working from our Dublin office 3 days per week. You will report to the Senior Group Product Manager.
You'll Get To...
- In partnership with the Sr. Group PM, define and own the CRM data model strategy, ensuring it is solid, scalable, and meets the needs of dependent teams across the organization.
- Guide and execute scalable platform decisions for the CRM backend to support future product growth and complexity.
- Oversee and define the strategy for third-party integrations, managing data import, export, and synchronization capabilities for the CRM platform.
- Leverage the latest technical advancements in data management, including AI/ML techniques, to drive data normalization, canonical data model creation, and automated insights/recommendations within the CRM backend.
- Lead and align a dedicated team of engineers, prioritizing their work and managing the technical roadmap for the CRM backend platform.
- Partner with other PMs and data partners (analytics, data science, marketing) to seek out answers to data questions that impact multiple teams.
- Influence and inform team/group strategy through passionate and well-reasoned presentation of ideas.
- Contribute to OKRs, team and product strategy, vision, and roadmap.
- Be a single, mutually supporting-force with your partners in design, engineering, UX research, and product analytics.
Who We’re Looking For
- 4+ years of experience in product management, specifically focusing on backend systems, data models, or platform products.
- Strong technical background and experience in data management, data modeling, and data strategy.
- Well versed in managing technical requirements for third-party integrations (import, export, sync) and data partnerships.
- Experience in leveraging modern data management techniques, including AI/ML, for data quality, transformation, and automated insight generation.
- Ability to take a vague problem, research and prepare a compelling proposal for action that will drive key outcomes.
- Experience leading cross-team research studies.
- A nuanced understanding of the methods of modern product discovery, product delivery, and user segmentation.
- Excellent communication and interpersonal skills with the ability to align different teams around achieving business goals and outstanding user experiences.
Benefits & Perks
- Health insurance with 100% covered premiums for you, your spouse or partner and your dependent children including medical, dental, and vision
- Life and Income Protection
- Fertility and adoption benefits
- Headspace mindfulness app subscription
- Global Employee Assistance Program
- Pension benefits with employer match
- Flexible paid time off
- 26 weeks paid maternity leave & 12 weeks paid paternity leave
- 2 weeks paid family care leave
- Education reimbursement
- Employee donation match to community organizations
- 7 Global Employee Resource Groups (ERGs)
- Free lunch and snacks
- Close proximity to cultural landmarks such as Dublin Castle and St. Patrick's Cathedral
About Squarespace
Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,700 is headquartered in New York City, with offices in Dublin, Ireland, and Aveiro, Portugal. For more information about our company, visit https://www.squarespace.com/about/careers.
Our Commitment
Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customer base, but we also strive for the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.
#LI-Hybrid #LI-JP1
Thank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process.
Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge.
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Навыки
- CRM
- Product Management
- Machine Learning
- SQL
- Roadmapping
- API Integration
- AI
- Data Modeling
- Data Strategy
- Backend Systems
Возможные вопросы на собеседовании
Проверка опыта работы с архитектурой данных и понимания масштабируемости.
Опишите случай, когда вам пришлось перепроектировать существующую модель данных CRM для поддержки быстрого роста. Какие компромиссы вы рассматривали?
Оценка технических навыков в области интеграций, упомянутых в вакансии.
Как вы подходите к управлению требованиями для синхронизации данных со сторонними сервисами, чтобы обеспечить целостность и актуальность данных?
Проверка способности использовать современные технологии для решения бизнес-задач.
Какие конкретные кейсы использования AI/ML для нормализации данных или генерации инсайтов вы реализовывали на практике?
Оценка навыков приоритизации в условиях работы с множеством стейкхолдеров.
Как вы балансируете между техническим долгом backend-платформы и запросами от продуктовых команд на новые фичи?
Проверка лидерских качеств и умения работать с неопределенностью.
Расскажите о ситуации, когда вы превратили расплывчатую проблему в четкий план действий, который привел к значимым бизнес-результатам.
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