Technical Product Manager (AI) - Veeva QualityDocs & Training

Job description

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](https://medium.com/@peter.gassner/public-benefit-corporation-pbc-486e1e9508a6) (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a [Work Anywhere](https://careers.veeva.com/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](https://www.youtube.com/watch?v=TaPSP8cCSKY&ab_channel=Forbes), committed to making a positive impact on its customers, employees, and communities. ### The Role We are seeking an experienced technical product manager to design and deliver high-value AI Agent solutions for industry leading Veeva QualityDocs and Veeva Training products. Veeva QualityDocs is a regulated quality content management solution that manages content throughout its entire lifecycle. Veeva Training is a learning management system (LMS) designed to ensure training compliance, qualification and job readiness. In this role, you will be an expert in the use of AI to design and build AI agents that automate Veeva QualityDocs and Veeva Training processes. ### What You'll Do - Hands-on design and development of AI product features for Veeva QualityDocs and Training - Design and deliver production AI Agent applications including data flow, orchestration, and prompts - Work with engineering and UX to automate key business processes using AI - Assist with AI Agent evaluations - Present feature capabilities and value to internal and external stakeholders ### Requirements - 5+ years of enterprise SaaS product management, engineering, or technical consulting experience, with at least 2+ years focused on AI/ML applications - Experience with data flow design, algorithm selection, and model integration - Coding skills in Python and hands-on experience with AI Frameworks and APIs - Strong understanding of AI/ML concepts, LLMs, and prompt engineering - Strong collaboration skills for working with engineering, UX design, and application product management teams - Excellent communication skills to work with non-technical stakeholders - Ability to work independently in a fast-paced environment with little direct supervision - Must be based in or within one hour of the Eastern Time zone - Must be able to travel 20% ### Nice to Have - Experience in a data scientist, machine learning, or data engineering role - Experience in Life Sciences - Experience building products on application development platforms - Experience building software for regulated industries - Experience interacting with customers and internal teams remotely and across geographies ### 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: 1. A conversation with the hiring manager 2. A practical case exercise 3. 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: $100,000 - $150,000 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.