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Product Manager
Привлекательная позиция в стабильной SaaS-компании с фокусом на социально значимую сферу (здравоохранение). Предлагает работу с современным стеком (AI, Data) и хорошие бенефиты, включая опционы.
Сложность вакансии
Роль требует сочетания навыков управления продуктом, глубокого понимания инженерии данных и управления данными (Data Governance), а также готовности работать с AI-инструментами для генерации кода.
Анализ зарплаты
Зарплата для Product Manager в сфере Data в Монреале обычно выше среднего по рынку из-за дефицита специалистов на стыке продукта и данных. AlayaCare предлагает конкурентную компенсацию, дополненную долей в капитале компании (equity).
Сопроводительное письмо
I am writing to express my strong interest in the Product Manager, Data position at AlayaCare. With a solid technical background in data management and a passion for building scalable analytics solutions, I am excited by the opportunity to lead the Data Exploration offering and shape how care providers leverage data to improve patient outcomes.
In my previous experience, I have successfully bridged the gap between complex data engineering and intuitive user experiences. I am particularly intrigued by your focus on evolving the PM role with AI tools, specifically prototyping specifications for AI code generation. My experience in data governance, combined with an agile mindset, aligns perfectly with your mission to foster data literacy and deliver high-impact data solutions.
AlayaCare’s commitment to transparency and human connection resonates with my professional values. I am eager to bring my expertise in product strategy and stakeholder management to your Montreal-based team and contribute to the continued growth of your cloud-based platform.
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Откликнитесь в alayacare уже сейчас
Присоединяйтесь к AlayaCare, чтобы определять будущее аналитики в сфере домашнего здравоохранения и работать с передовыми AI-технологиями.
Описание вакансии
About AlayaCare
At AlayaCare, we’re more than just a fast-growing SaaS company — we’re a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients.
With 650+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career.
About the Role
Reporting to the Director of Data Engineering, the Product Manager, Data owns the strategy and success of our embedded analytics offering, Data Exploration. You will lead the product vision and roadmap, shaping how customers access, understand, and leverage data to drive better outcomes. Recognizing that the role of PM is evolving with the new AI tools available, there will be a focus to prototype, validate, and prepare specifications for AI code generation.
In this role, you’ll play a key part in building scalable, intuitive data capabilities that are deeply embedded into our product experience. You’ll balance customer needs, technical complexity, and business priorities to deliver solutions that are both impactful and easy to use.
This is a highly cross-functional role that requires strong product leadership, a customer-first mindset, and a solid foundation in data management. You’ll collaborate across teams to deliver high-impact data solutions for our customers.
What You'll Do
Product Success
- Own the success of Data Exploration, balancing priorities, managing stakeholders, and fostering innovation
- Conduct market research and competitive analysis to identify opportunities for feature enhancements and new capabilities
Customer Focus & Point of Contact
- Serve as the main representative for Data Exploration, engaging with clients, partners, and internal teams
- Address escalated concerns or complex requirements efficiently
Data Governance
- Define roles and responsibilities for data stewardship, ownership, and accuracy
- Manage metadata processes: document pipelines, maintain a data dictionary, and establish a business glossary
- Oversee data governance tools and ensure integration with workflows
- Promote data literacy through training, demos, and enablement
Feature Development & Engineering Collaboration
- Partner with engineering to define feature requirements and deliver on scope and timelines
- Use analytics and user feedback to guide decisions and track KPIs
- Prioritize and manage the product backlog, facilitating agile processes as needed
Strategic Leadership & Innovation
- Define and communicate product strategy, positioning, and messaging
- Proactively identify challenges and propose solutions
- Drive the product vision forward, influencing leadership and cross-functional partners
What You Bring to the Team
- Technical background with experience in software development or data management
- Strong problem-solving skills, attention to detail, and a growth mindset in a changing environment
- Experience gathering and interpreting product data and customer feedback to inform decisions
- Strong cross-functional collaboration skills with engineering, product design, support, and sales
- Ability to maintain strong customer relationships and provide product support
- Strong ability to analyze industry trends and competitive landscape
- Competency in project reporting, risk management, and status tracking
- Experience training internal teams on new product features and promoting data literacy
- Agile/Scrum certification or experience working in agile environments.
- Experience in healthcare or related industries is as asset
- Bilingual proficiency in French and English is an asset.
- Data management certifications (e.g., CDMP, DGSP, CIPP) are an asset
Why Join AlayaCare?
Work With Purpose
At AlayaCare, you’ll help build technology that empowers care providers and improves outcomes for patients and families. Every line of code and every product decision contributes to making care more connected, accessible, and human.
Grow in a High-Trust Culture
We believe in transparency, feedback, and assuming positive intent. You’ll be supported through mentorship, career mobility, and a strong promote-from-within philosophy.
Balance That Works for You
From flexible vacation to Wellness Fridays and paid volunteer time off, we prioritize well-being and sustainable performance.
Benefits That Matter
- Competitive compensation, including equity in a well-funded, scaling company
- Comprehensive group benefits program, including telemedicine, effective on your first day
- Employee expense program for health, wellness, lifestyle, and productivity expenses
- Parental leave top-up plan
- Flexible vacation policy
- Paid Volunteer Time Off program
- Career growth and development opportunities
Inclusive by Design
We celebrate diverse perspectives and foster belonging through our DEIB initiatives. Employee-led events, summits, and social activities — both in-person and virtual — create meaningful connections across our global teams.
Location and Work Model
This role is based in the Greater Montreal Area. At AlayaCare, our hybrid model includes set in-office collaboration days, and team members are expected to be present in the office on those days to foster connection, innovation, and teamwork.
Ready to Join Us?
Apply today and be part of a company that’s shaping the future of home and community care. Not the right role for you? Share this posting with someone who might be a great fit.
AlayaCare uses AI tools during our hiring process to support fair, consistent, and objective decision-making. Some initial screening steps may be automated to help identify qualified candidates. If your application is declined automatically, you may request a human review.
We’re committed to creating a workplace where everyone belongs. If you require accommodation during the application process, please reach out to careers@alayacare.com
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Навыки
- Product Management
- Data Management
- Data Governance
- Agile
- Scrum
- Data Analytics
- Market Research
- Stakeholder Management
- Metadata Management
- AI
Возможные вопросы на собеседовании
Проверка опыта в управлении данными и понимания их жизненного цикла.
Как вы подходите к созданию словаря данных и обеспечению их качества в продукте со встроенной аналитикой?
Оценка способности кандидата работать с новыми технологиями, упомянутыми в описании.
Каков ваш опыт в прототипировании или внедрении функций на базе AI, таких как генерация кода или естественный язык для запросов к данным?
Проверка навыков приоритизации в сложной технической среде.
Как вы балансируете между запросами клиентов на новые фичи визуализации и необходимостью оптимизации бэкенд-пайплайнов данных?
Оценка лидерских качеств и умения работать с кросс-функциональными командами.
Опишите случай, когда вам пришлось внедрять культуру грамотности в работе с данными (data literacy) среди нетехнических отделов.
Проверка соответствия гибкому подходу компании.
Как вы адаптируете процессы Agile/Scrum для команд, работающих над инфраструктурными и аналитическими продуктами, где циклы разработки могут отличаться от обычного фронтенда?
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