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Product Manager

Job in Montreal, Montréal, Province de Québec, G4F, Canada
Listing for: GenAIz
Full Time position
Listed on 2026-10-21
Job specializations:
  • Quality Assurance - QA/QC
    AI Business & Operations, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 160000 CAD Yearly CAD 100000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: Montreal

Product Manager, Manufacturing & Quality (Life Sciences)

Oct 14, 2026 · @Richard

About GenAIz

GenAIz is a Montreal-based AI software company building GxP-compliant tools for the pharmaceutical and life sciences industry. We are a team of about 20 people who combine applied AI with deep regulatory know-how, so our clients can adopt AI in validated environments without compromising compliance.

Location:

Montreal, QC (remote)
·

Reports to:

VP, Product Management
· Type:
Full-time, permanent

The role

We are hiring a Product Manager to own a segment of our AI product portfolio for pharmaceutical manufacturing and quality operations. You will turn the daily realities of QA, QC and manufacturing teams — deviations, CAPAs, batch records, annual product quality reviews — into advanced software they can trust and validate.

You will sit between customers, our engineering and AI teams, and our regulatory function. In a company our size, you will also shape client-facing materials, influence go-to-market, and build products following a formal SDLC.

What you will do Product strategy and discovery
  • Support and develop the vision, roadmap and prioritization for our manufacturing and quality product line (e.g. quality event triage, CAPA recommendation, APQR/PQR generation).
  • Run discovery with QA heads, manufacturing leads, QC labs and IT/CSV teams at pharma, biotech and CDMO clients.
  • Map end-to-end quality and manufacturing workflows to find where AI removes real effort without adding validation risk.
  • Track the competitive landscape, including QMS and MES vendors adding AI features.
  • Assess addressable market size and required investment to determine short and long term ROI in support of the roadmap prioritization and backlog grooming activities
Requirements and delivery
  • Write clear user requirements, functional specifications and acceptance criteria that hold up as validation inputs.
  • Work with engineering and data science on model behavior, human-in-the-loop design, explainability and performance metrics.
  • Lead backlog grooming, sprint planning and release planning with the engineering team.
Compliance by design
  • Build 21 CFR Part 11, EU Annex 11 and ALCOA+ data integrity requirements into products from the start (audit trails, e-signatures, access control, data lineage).
  • Partner with regulatory on GAMP 5 categorization, risk assessments and traceability from user requirements to test evidence.
  • Plan for AI‑specific regulatory expectations, including change control for model updates and FDA and EMA guidance on AI in GxP contexts.
  • Support client validation (IQ/OQ/PQ) and supplier audits with documentation and product expertise.
Customers and go‑to‑market
  • Contribute to BRDs, SOWs, demos and client presentations.
  • Support sales on scoping pilots, defining success criteria and answering technical and compliance questions, and assisting with demonstrations.
  • Turn pilot results into case studies, pricing input and product decisions.
What you bring
  • 5+ years of product management experience on B2B software, with at least 3 years serving pharma, biotech, medical device or CDMO customers.
  • Working knowledge of pharmaceutical manufacturing and quality processes: deviations, CAPA, change control, batch record review, OOS/OOT, APQR/PQR.
  • Hands‑on experience shipping software into GxP environments, including familiarity with 21 CFR Part 11, EU Annex 11, GAMP 5 and computer system validation.
  • Ability to write requirements that serve both engineers and validation teams, with traceability in mind.
  • Comfort presenting to senior quality and manufacturing leaders and writing client-facing documents.
  • Bachelor's degree in life sciences, engineering, computer science or a related field.
  • Fluency in English;
    French is a strong asset.
Nice to have
  • Experience with EDC,…
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