Company Description
MEDFAR Clinical Solutions was founded in 2010 by two aeronautical engineers who realized that the healthcare system was not exploiting the full potential of technology. Supported by a large community of medical experts and focused on clinical success and patient safety, MEDFAR was the first company to certify a cloud-based Electronic Medical Record in Canada: MYLE (Make Your Life Easy).
Committed to promoting excellence and effectiveness in healthcare worldwide, MEDFAR differentiates itself by offering a unique healthcare management solution for clinics, which replaces inefficient processes with a faster and safer technological alternative.
Job Description
We are seeking a Senior Product Owner to lead the development of foundational AI capabilities at MEDFAR. In this high-impact role, you’ll drive the delivery of core components that power our AI initiatives, from intelligent document parsing to our LLM orchestration layer and dynamic prompt routing. You’ll collaborate closely with our AI team and product management leadership to structure workflows, ensure clarity in execution, and establish quality, ethical, and data safety standards.
If you thrive in environments where you can introduce structure, drive strategic impact, and bring clarity to ambiguity, this is your opportunity to shape the backbone of MEDFAR’s AI-powered future.
The Team & Environment
Our AI team is a small, deeply technical group that’s just getting started. We operate like a startup within the company, lean, fast, and ambitious. While the team excels at technical experimentation and prototyping, we’re looking for someone to help scale these capabilities into robust, production-ready platforms.
You’ll be the first dedicated product owner embedded in the team, playing a pivotal role in shaping both the what and the how. Your work will directly impact internal developers, product teams, and ultimately the clinicians and patients we serve.
Key Responsibilities
Product Structuring & Execution
Partner with product management to break down strategic goals into actionable technical requirements.
Own the planning and prioritization of features, tech enablers, and infrastructure components.
Translate broad outcomes into detailed backlogs and well-scoped technical work.
Coordinate closely with engineering leads to ensure delivery milestones are well-defined and met.
Collaboration with Product Management
Act as the connective tissue between business goals and technical execution.
Ensure AI foundational work aligns with the needs of product teams and clinical workflows.
Regularly engage with product leadership to maintain alignment and adjust priorities based on evolving needs.
Oversight of Quality, Data Safety, and AI Ethics
Be a gatekeeper for AI outputs, ensuring safety, reliability, and compliance with internal and regulatory standards.
Collaborate with security and legal to align on privacy, fairness, and data governance practices.
Guide the definition of evaluation metrics and approval thresholds for model behavior.
Technology Scouting & Thought Leadership
Stay informed on advancements in AI infrastructure, open-source tooling, LLM frameworks, and MLOps best practices.
Bring ideas to the table for how emerging tools and research can be practically applied within our systems.
Qualifications
Bachelor's degree in a technical or related field (or equivalent experience) with 8+ years in product ownership. This must include a minimum of 2 years working on AI/ML or technical infrastructure projects.
Demonstrated ability to lead technical teams at the intersection of engineering and product management in ambiguous environments. Requires a strong technical understanding of ML workflows, data pipelines, or LLM frameworks.
Deep familiarity with the AI/ML landscape, including model development, deployment, and the security/ethical aspects of AI. Experience in healthcare, EHRs, or regulated industries is strongly preferred.
Must be a structured thinker with exceptional communication skills, capable of translating complex ideas to technical and non-technical stakeholders. Comfort making trade-offs and prioritizing under uncertainty is essential.
Prior experience in a startup or high-growth environment is a plus, along with exposure to modern AI/LLM concepts like prompt engineering, RAG, or LLMOps.
Additional Information
Why join MEDFAR (QC & BC)?
Joining the ranks of MEDFAR means working in a dynamic environment where trust, innovation, quality, and client success guide our days. At MEDFAR, we promote efficiency and excellence in healthcare by offering the most efficient electronic medical record (EMR) on the market.
Remote-work enabled
Entrepreneurial culture.
Generous group insurance coverage.
Flexible hours (work-life balance).
Paid time-off offered during Christmas (the equivalent of one week).
Social and sports activities (currently suspended due to the pandemic)..
Dynamic and multicultural work environment.
Our office in Montreal (QC) is accessible by public transit and is a short walk from Peel and Bonaventure metro stations.
With offices around the world, fluency in both French and English is a must at MEDFAR. Because of the need to communicate with colleagues and/or customers in other provinces or countries, bilingualism enables us to communicate in both languages while promoting the use of French.
At MEDFAR, we value diversity, equity and inclusion within our team. We are committed to providing a work environment where every individual feels respected and supported, regardless of their background, identity or abilities.As part of our commitment to a fair and inclusive recruitment process, we offer accommodation to candidates who request it. If you need accommodation during your interview, please let us know so that we can provide you with an adapted experience.
MEDFAR has voluntarily subscribed to an Equal Employment Opportunity Program (EEOP). We encourage applications from women, visible minorities, ethnic minorities, aboriginal peoples and people with disabilities. When applying, we invite you to complete this section, which enables us to implement our Equal Employment Opportunity Program (EEOP). Self-identification is not compulsory, but may enable you to benefit from hiring or promotion measures if you have the skills required for the job.
To better understand the self-identification process, please consult this guide.
