Product Manager - Veeva Training

Accountabilities:: You will lead the evolution of product capabilities by identifying customer needs, defining innovative solutions, and translating business opportunities into actionable product requirements. Through close collaboration with technical and business stakeholders, you will ensure that new features deliver meaningful value while maintaining a high standard of product quality and usability. Serve as a product subject matter expert and evangelist, developing in-depth knowledge of the platform and communicating its capabilities to internal stakeholders and external customers. Lead the design and development of new features for an enterprise Learning Management System, ensuring alignment with customer needs and business objectives. Take a hands-on approach to product development by designing, prototyping, configuring, and validating solutions to address complex user challenges. Gather customer feedback and translate business requirements into clear, actionable product specifications for engineering teams. Create high-quality product documentation, user stories, and technical requirements to support effective development and implementation. Own and continuously evolve the product roadmap, prioritizing initiatives based on customer needs, market opportunities, and strategic objectives. Collaborate closely with engineering, UX design, application product management, sales, consulting, and other cross-functional teams throughout the product lifecycle. Identify opportunities for innovation by monitoring emerging software technologies, AI capabilities, and trends within the pharmaceutical and life sciences industries. Define AI-related product use cases that deliver clear value to end users and support broader business goals. Lead iterative product development through agile practices, incorporating feedback and continuously refining solutions. Communicate product vision, priorities, and progress effectively to technical and non-technical stakeholders. Drive product adoption and success by ensuring that solutions address real-world challenges and deliver an excellent customer experience. Requirements : The ideal candidate combines enterprise SaaS product management experience with strong technical understanding, analytical thinking, and the ability to translate complex problems into practical solutions. You should be comfortable taking ownership of product initiatives, collaborating across multidisciplinary teams, and working independently in a fast-paced environment. At least 3 years of experience in enterprise SaaS product management, software engineering, or technical consulting. Bachelor's degree in Computer Science, Engineering, Business Administration, or a related discipline. Strong collaboration skills, particularly when working with engineering, UX design, and application product management teams. Excellent written and verbal communication skills, with the ability to engage effectively with both technical and non-technical stakeholders. Demonstrated ability to work independently, manage competing priorities, and make sound decisions with limited direct supervision. Ability to identify and define AI use cases with clear end-user benefits and measurable business value. Willingness and ability to travel approximately 20% of the time. Must be based in or within one hour of the Eastern Time zone. Additional assets that will help you stand out: Technical academic background or practical software development experience. Previous experience working with Learning Management Systems (LMS). Knowledge of the life sciences or pharmaceutical industry. Experience developing products on application development platforms. Familiarity with software development for regulated industries. Understanding of AI prompt design, Retrieval-Augmented Generation (RAG), and Agentic AI concepts. Experience collaborating remotely with customers and internal teams across different geographic regions. Benefits : Annual base salary ranging from $100,000 to $150,000 CAD, depending on experience, qualifications, and location. Potential eligibility for additional compensation, including variable bonuses and/or stock bonuses. Medical, dental, and vision insurance. Basic life insurance coverage. Paid time off (PTO). Company-paid holidays. Retirement programs. 1% charitable giving program. Remote-first working environment with flexibility to work from home or an office. Opportunity to contribute to innovative enterprise software solutions within the life sciences industry.