Top Tech Jobs & Startup Jobs in Toronto

Own the vision, strategy, and roadmap for Veeva Vault PromoMats capabilities, including claims management, MLR workflows, digital asset management, and AI automation. Conduct customer discovery, define requirements, measure product impact, and partner with Engineering, UX, QA, Sales, Services, and Support to deliver compliant, scalable solutions. The role requires enterprise product management experience, hands-on LLM and generative AI expertise, Python coding, AI framework knowledge, and familiarity with marketing operations and regulated life sciences workflows.

Performs functional and automated testing for cloud-based applications in a quality assurance and release engineering team. Responsibilities include developing automation frameworks and scripts, creating test plans and cases, conducting QA tests, verifying outcomes, debugging automation environments, and supporting scalable cloud test infrastructure. The role is designed for graduates and candidates developing quality engineering skills.

Define, design, prioritize, and deliver enterprise software features for regulatory professionals in the life sciences industry. Translate customer and business needs into design specifications, collaborate with engineering and QA through implementation, and serve as a product subject matter expert. The role requires enterprise software product management experience, technical communication skills, and knowledge of databases and web technologies.

Own the Falcon Writer product roadmap and deliver AI-powered authoring features for regulated life sciences content. Translate customer workflows into product requirements, collaborate with engineering and QA, define success metrics, conduct customer discovery, and ensure quality, compliance, verification, and human review. The role requires hands-on product management, AI feature experience, strong stakeholder communication, and comfort solving ambiguous problems with cross-functional teams.

Perform functional and automated software testing, create test plans and bug reports, triage automation results, verify product outcomes, and collaborate with engineering and product teams in an Agile environment. The role also involves developing product expertise and improving regression test coverage through automation.

Lead migration solutions for life sciences companies, advising on ETL processes, mentoring staff, and ensuring customer success with Veeva Vault R&D applications.

The Senior Product Manager will lead the development of AI-driven solutions to optimize MLR processes and improve compliance for life sciences companies.

Leads data architecture, integrations, product analytics, and client-specific analyses for an AI-enabled life sciences platform. Partners with engineering, product, solutions, and client services teams to build scalable, AI-ready data systems and improve measurement insights. Manages and mentors data analysts and engineers while supporting pharmaceutical and life sciences customer needs.

Own end-to-end product development for Veeva Network integrations, defining API/data connector specs, driving AI-enabled features, coordinating cross-functional teams, and evangelizing the product to customers and internal stakeholders.

Design and deliver scalable backend services for Veeva Ostro's SaaS platform. Architect high-performance APIs, optimize application and database performance, collaborate cross-functionally to ship features, champion code quality and testing, evaluate backend technologies, and troubleshoot live system issues to maximize uptime.