Associate Product Manager (AI/Data)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Associate Product Manager (AI/Data): Supporting data, analytics, and AI products for care teams with an accent on data-to-insight pipelines and backlog management. Focus on overseeing data ingestion, model training, and ensuring product-market fit within the health tech SaaS domain.
Location: Hybrid (Mississauga, ON). Must reside within commutable distance to the office
Salary: $87,500 - $97,200 CAD + bonus
Company
Leading health tech company providing a comprehensive platform for long-term and post-acute care, utilizing the largest dataset in the industry to improve healthcare delivery.
What you will do
- Manage the product backlog, writing user stories and acceptance criteria for engineering teams.
- Oversee the data-to-insight pipeline, including data ingestion, cataloguing, normalization, and model deployment.
- Collaborate with engineering, data, and AI platform teams to ensure seamless data flow.
- Serve as the voice of the customer within a scrum team to deliver high-quality user experiences.
- Identify and communicate risks to ensure timely and effective product execution.
- Work with customers to validate and ensure product-market fit.
Requirements
- Bachelor’s degree in business, computer science, or healthcare.
- 1-3 years of experience in Product Management, preferably in health tech SaaS.
- Familiarity with SQL, Python, BI tools (PowerBI), React, and Databricks.
- Understanding of healthcare data, including Quality Programs and Claims.
- Experience with SaaS, Big Data, and AI/ML.
- Must be based in or within commutable distance to Mississauga, ON
Nice to have
- Experience in Product Life Cycle, Forecasting, and Launch planning.
Culture & Benefits
- Comprehensive benefits package starting from Day 1.
- Retirement plan matching (RRSP & 401K).
- Flexible Paid Time Off and Lifestyle/Wellness spending account.
- Parental and caregiver leaves, including fertility and adoption support.
- Continuous development support and specialized learning programs.
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