Technical Product Manager - AI Solutions

Veeva Systems
Boston, MA

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 $2B 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 Development Cloud. In this role, you will be an expert in the use of AI to design and build AI agents that will speed up clinical trials, automate regulatory submissions, or make pharmacovigilance more efficient.

What You’ll Do

  • Hands-on design and development of prototypes of AI solutions for a specific application domain such as Submissions, Clinical, or Drug Safety working with application PMs and customers.
  • 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.
  • Present solution capabilities and value to internal and external stakeholders.

Requirements

  • 5+ years of enterprise software product management, engineering, or 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.

Nice to Have

  • Experience in Life Sciences
  • Experience in a data scientist, machine learning, or data engineering role.

Perks & Benefits

  • Medical, dental, vision, and basic life insurance
  • Flexible PTO and company paid holidays
  • Retirement programs
  • 1% charitable giving program

Compensation

  • Base pay: $75,000 - $165,000
  • 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.

#LI-Remote

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 [email protected] .

Posted 2025-07-31

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