Publié il y a 22 jours
Product Manager
@ GenAIz
Montréal, Québec
En bref
GenAIz, a Montreal-based AI software company for pharmaceutical and life sciences, is hiring a full-time Product Manager to own a segment of its manufacturing and quality product line. The role covers product strategy, discovery with client QA and manufacturing teams, compliance-by-design requirements for GxP environments, and support for sales and go-to-market. Remote work is offered, with a preference for candidates located between Quebec City and Toronto.
Responsabilités :
- Define roadmap and priorities for the manufacturing and quality product line
- Run discovery with client QA, manufacturing, QC and IT/CSV teams
- Write user requirements, specifications and acceptance criteria
- Build 21 CFR Part 11, Annex 11 and ALCOA+ requirements into products
- Support sales with pilot scoping, demos and client documents
Résumé des exigences :
- 5+ years of B2B product management, 3+ years with pharma or CDMO clients
- Working knowledge of pharmaceutical manufacturing and quality processes
- Hands-on experience shipping software into GxP environments
- Bachelor's degree in life sciences, engineering or computer science
- Fluent English; French a strong asset
Outils et compétences
Source et dates
Site carrière / système de candidatures · bamboohr
- Date publiée par l’employeur
- 2026-10-18
- Première détection par notre source
- 2026-10-18
- Mise à jour du dossier source
- 2026-11-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Gestion de produit |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : minimes · route : minimes |
| Milieu de travail | Domicile, Chez les clients |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English, French |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | life sciences, engineering, computer science |
| Avantages mentionnés | Horaire flexible, Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
GenAIz
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Connecting the dots in the life sciences industry to empower you with insights
Description complète de l’entreprise
GENAIZ federated learning platform for the life sciences industry enable hospitals, academics and biopharma companies to share, monetize and access data as well as run AI solutions in order to improve patient outcomes and propel innovation. Machine Learning Algorithms Available RefAI is a suite of unsupervised artificial intelligence algorithms that validates the completeness of all transferred documentation, ensuring no documents go missing, by processing more than 13,000 words per minute in thousands of files. QualitAIx is a suite of unsupervised artificial intelligence algorithms that compares baselines to current organizational or manufacturing states, and reports exceptions, by processing more than 13,000 words per minute. Your team can now just validate the identified exceptions, basically less than 5% of the dataset. ClAInix is a suite of unsupervised artificial intelligence algorithms that allows you to explore, analyze and visualize your data in ways that were impossible before or very time-consuming — enabling you to detect patterns and gain insights that would otherwise remain hidden. +1000x faster than the conventional approach +2.3x more accurate than manual labor Results in 3 clicks
- Abonnés LinkedIn
- 902
- Personnes associées sur LinkedIn
- 16
- Bureaux déclarés
- 5605 Avenue de Gaspé, suite 805, Montreal, Quebec H2T 2Z9, CA
- Catégories d’activité
- Software
- Information Services
- Artificial Intelligence (AI)
- Machine Learning
- Autres noms enregistrés
- GenAIz
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
GENAIZ federated learning platform for the life sciences industry enable hospitals, academics and biopharma companies to share, monetize and access data as well as run AI solutions in order to improve patient outcomes and propel innovation. Machine Learning Algorithms Available RefAI is a suite of unsupervised artificial intelligence algorithms that validates the completeness of all transferred documentation…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 11-50 employees |
| Siège social | Montreal, Quebec |
| Type d’organisation | Privately Held |
| Fondée en | 2016 |
| Offres sur Jobsy | 11 |
| Voir la page |
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, QMS, MES or LIMS platforms (e.g. Veeva Vault QMS, MasterControl, TrackWise, SAP QM).
- Startup or small-company experience where the PM also writes, sells and supports.
- Familiarity with cloud architecture and SaaS validation approaches.
What success looks like
- First 3 months: you know our products, clients and SDLC framework, and have run discovery with at least two client quality or manufacturing teams.
- By 6 months: you own a prioritized 12-month roadmap for the manufacturing and quality line
- By 12 months: at least three client pilots; one has converted to production use, with validation documentation the client's QA team accepted.
Why join us
- Real ownership: your decisions shape products used in regulated manufacturing sites.
- A team that treats compliance as a design input, not an afterthought.
- Direct access to leadership and clients in a company of about 20 people.
- Competitive salary, benefits and flexible remote work in Montreal, and equity in a growing startup.
Where you will work
While GenAIz is a fully remote company, many of our core customers are located in the Montreal area. Likewise, when we do schedule face to face meetings or events, they will be held in Montreal. For those reasons, candidates located between Quebec City and Toronto are preferred.
To apply: send your CV and a short note on a GxP product decision you are proud of to [email protected].
GenAIz is an equal opportunity employer and welcomes applications from all qualified candidates.
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