Technical Product Manager - Veeva Labeling AI
- Employment type
- Full-time · On-site
- Posted
- September 24, 2026
- Salary range
- $100,000–$150,000 CAD per year
- Province
- Ontario (ON)
Hiring confidence: Some gaps · 56/100
Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored
Job Overview
This role is based in Ontario. Veeva Systems is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Technical Product Manager - Veeva Labeling AI in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting advertises $100,000–$150,000.
NOC code
This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.
Typical qualifications for Canadian employers
- Experience with Veeva Systems or life sciences software
- Understanding of AI/ML capabilities and limitations
- Knowledge of pharmaceutical labeling regulations
- Strong technical acumen and ability to work with engineering teams
- Experience in SaaS product management
Fit check
Is this role right for you?
Top skills this posting asks for:
- Product Management
- Veeva Systems
- AI/Machine Learning
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What you'll do
- Define and execute product strategy for Veeva Labeling AI
- Gather and prioritize product requirements from customers and stakeholders
- Collaborate with engineering teams on technical implementation
- Drive product adoption in the life sciences market
- Ensure compliance with industry regulations
- Monitor product performance and customer success metrics
- Guide AI/ML feature development and rollout
What you'll need
- Experience with Veeva Systems or life sciences software
- Understanding of AI/ML capabilities and limitations
- Knowledge of pharmaceutical labeling regulations
- Strong technical acumen and ability to work with engineering teams
- Experience in SaaS product management
- Understanding of life sciences industry workflows