This Senior Product Manager role focuses on designing and delivering production-ready AI Agent solutions to automate regulatory review processes and medical information responses within the life sciences industry.
What you’d own
AI Agent applications focusing on RAG architectures and prompt engineering
MLR review process automation and Medical Inquiry workflows
Defining KPIs for inference accuracy and automated reference matching
Driving AI prototypes from initial design to production-ready scale
Who it’s for
A fit if you…
✓You have 2+ years of hands-on experience with LLMs, Generative AI, and Python
✓You can translate complex technical AI concepts for non-technical legal and regulatory stakeholders
✓You have a background in data science, machine learning, or data engineering
Not for you if…
✗You prefer working on deterministic software rather than navigating the probabilistic nature of LLMs
✗You lack experience with technical frameworks like LangChain or LlamaIndex
✗You are looking for a generalist role without deep involvement in data flow design and model fine-tuning
Reading between the lines
The requirement for 'strong coding skills' and 'hands-on focus' suggests this is a highly technical PM role where you will likely be expected to prototype or review code.
The emphasis on 'highly regulated' content and 'compliance risks' implies a high-stakes environment where accuracy and safety are prioritized over rapid, unpolished iteration.
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Location: Canada - Toronto
Location Type: Remote
Employment Type: Full-Time
Department: Product Management & Alliances
Team: Product Management & Alliances - NA
Country: CA
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
Make the work of our customers delivering life-changing medicines and treatments to patients more efficient and productive. We are looking for an experienced technical product manager to design and deliver high-value AI Agent solutions for Veeva PromoMats and Vault Medical.
In this role, you will be the expert in leveraging AI to automate the content lifecycle, from speeding up the Medical, Legal, and Regulatory (MLR) review process to automating the generation of medical information responses. You will build AI agents that help commercial and medical affairs teams ensure compliance while accelerating the speed-to-market for critical health communications.
What You’ll Do
AI Orchestration & Design: Lead the design of production-ready AI Agent applications, focusing on data flow orchestration, RAG architectures, and complex prompt engineering. Strategic Product Discovery: Navigate the probabilistic nature of AI by identifying high-impact use cases where LLMs can solve non-deterministic problems in the MLR and Medical Inquiry workflows. Performance & Value Metrics: Define and track clear KPIs for AI success, such as “Reduction in MLR Review Cycles”, “Inference Accuracy”, and “Automated Reference Matching Precision” to demonstrate ROI to stakeholders. Prototype to Production: Drive hands-on design and development of AI prototypes while ensuring they meet the rigorous scalability and quality standards of the Veeva Vault platform. Process Automation: Partner with Engineering and UX to automate key business processes, such as identifying compliance risks in promotional materials or triaging complex medical inquiries. Stakeholder Alignment & Evangelism: Work with Application PMs to integrate AI capabilities seamlessly and present the value proposition to internal leadership and external stakeholders.
Requirements
5+ years of enterprise software product management, engineering, or consulting experience 2+ years of hands-on focus on AI/ML applications, specifically LLMs and Generative AI Technical Proficiency: Strong coding skills in Python and experience with AI Frameworks (e.g., LangChain, LlamaIndex) and APIs Architectural Knowledge: Deep understanding of data flow design, prompt engineering, and model fine-tuning for highly regulated content Communication: Ability to translate complex AI concepts into business value for non-technical stakeholders in Legal, Medical, and Regulatory departments Collaboration: Proven track record of working with UX and Engineering to build intuitive tools for complex workflows
Nice to Have
Domain Expertise: Direct experience with Veeva Vault PromoMats or Vault Medical Life Sciences Experience: Familiarity with MLR review processes, 2253 submissions, or Medical Information (MedInfo) workflows Data Background: Experience as a data scientist, machine learning, or data engineering role
Interviewing with Veeva
We value your time and believe in a transparent hiring process. Here is the process you can expect. Follow the application process and submit your resume. Within 3 days, you will receive a link to a personality assessment administered by a third party. Once you complete the assessment, our team will review your full application package and follow up via email with our decision. If moving to the interview stage, the process is as follows: A conversation with the hiring manager A practical case exercise A final conversation with our group's Senior Leader. Once all interviews are complete, the manager will be in touch with a final decision.
Perks & Benefits
Medical, dental, vision, and basic life insurance PTO and company-paid holidays Retirement programs 1% charitable giving program
Compensation
Base pay: $ 130,000 - $180,000 CAD The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
Additional Information
#LI-Remote
#LI-MidSenior
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.
Veeva is the industry cloud for life sciences, providing software, AI, data, and consulting across R&D, quality, regulatory, safety, medical, and commercial functions for pharmaceutical and biotech companies. Its Vault platform and Vault CRM run mission-critical workflows like clinical trials, regulatory submissions, and HCP engagement, and it serves more than 1,500 customers from the largest pharma companies to emerging biotechs, with 85% of newly approved drugs launched on Veeva. Founded in 2007 and publicly traded, Veeva is a Public Benefit Corporation that weighs the interests of customers, employees, and communities. It is investing heavily in agentic AI for drug development and commercial teams, making it a strong fit for a PM who wants deep domain work in regulated, high-stakes vertical SaaS.
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