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Join Our Team as a Sr. Developer – IBM Tririga

Estuate, Inc.

Technical Product Manager - Digital Health

Mississauga, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 6, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Technical Product Manager

Project Duration: 6-12 months

Mississauga, Canada.

The Opportunity

Translate product strategy into detailed scientific requirements for prototype construction and final product development by engineering and data science teams.
Be the voice of the customer for the product development team throughout the entire product development lifecycle, from definition to sunsetting of the product.
Collaborate with customers, team members, and outside influencers to ensure a proven and well-rounded understanding of products and developing needs.
Maintain in-depth knowledge of the digital pathology market, portfolio, and of our competitors.
Be the high-availability resource for answering questions posed by engineers, data scientists, and designers about stories in the backlog on a day-to-day basis.
Author user stories, acceptance criteria, product, and software requirements documentation, ensuring that story content and prioritization is aligned to larger strategic goals.
Support the User acceptance testing activities by interacting with stakeholder/s. Prepare release notes and update the business owners regarding features being incorporated in each Release.

Who you are

You hold a bachelor degree in Computer Science, Mathematics, Physics, Electrical Engineering or equivalent and have a minimum of 3 years experience in Technical Product Management in the health care service industry OR developing SaMD/Digital Health products OR analogous experience managing requirements of computer vision systems based on AI/ML.
You have a proven track record with Agile methodologies including Scrum and Scaled Agile Framework.
You demonstrate Product Management skills - handling priorities, quality, conflict, risk, etc.

Preferred

You have an advanced degree in Bioinformatics, Computational Sciences, Data Science, Biology, Chemistry or equivalent.
You demonstrate proven understanding of the digital pathology space and the associated technologies.
You have experience in regulated industries, specifically Medical Devices/Digital Health/Lifesciences.
You demonstrate an understanding of US FDA regulations and guidelines.
Occasional travel may be required in the amount of 10-20% for conferences and client visits.

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More about this job

Responsibilities

Translate product strategy into requirements and guide engineering, data science, and design teams throughout the product lifecycle, serving as the voice of the customer. Manage and prioritize backlog stories, document requirements and acceptance criteria, support user acceptance testing, and communicate release updates to business owners.

Requirements

Requires a bachelor’s degree in Computer Science, Mathematics, Physics, Electrical Engineering, or an equivalent field, plus at least three years of relevant technical product management or analogous requirements-management experience. Candidates should have Agile experience, including Scrum and SAFe; preferred qualifications include an advanced degree, digital pathology knowledge, regulated-industry experience, and understanding of US FDA regulations.

Skills

Technical Product Management
Product Strategy
Requirements Management
Agile Methodologies
Scrum
Scaled Agile Framework
User Story Writing
Acceptance Criteria
Prioritization
User Acceptance Testing
Digital Pathology
Digital Health
Stakeholder Collaboration
AI/ML Computer Vision
FDA Regulations

Visa sponsorship

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Keywords

Technical Product Management
Digital Health
Digital Pathology
Software as a Medical Device
SaMD
Artificial Intelligence
Machine Learning
Computer Vision
Agile
Scrum
Scaled Agile Framework
Product Strategy
Product Lifecycle
Requirements Management
User Stories
Acceptance Criteria
Backlog Management
User Acceptance Testing
Release Notes
Medical Devices
Life Sciences
FDA Regulations
Bioinformatics
Computational Sciences
Data Science
Stakeholder Collaboration

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