Senior Product Manager

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. #LI-RemoteUS #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 [email protected]. 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 Perks & Benefits Medical, dental, vision, and basic life insurance Flexible PTO and company paid holidays Retirement programs 1% charitable giving program Compensation Base pay: $100,000 - $200,000 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.

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      "text": "What You’ll Do",
      "content": "<div>\n\n<li>AI Orchestration &amp; Design: Lead the design of production-ready AI Agent applications, focusing on data flow orchestration, RAG architectures, and complex prompt engineering.</li>\n<li>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.</li>\n<li>Performance &amp; 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.</li>\n<li>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.</li>\n<li>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.</li>\n<li>Stakeholder Alignment &amp; Evangelism: Work with Application PMs to integrate AI capabilities seamlessly and present the value proposition to internal leadership and external stakeholders.</li>\n\n</div>"
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      "text": "Requirements",
      "content": "<div>\n\n<li>5+ years of enterprise software product management, engineering, or consulting experience</li>\n<li>2+ years of hands-on focus on AI/ML applications, specifically LLMs and Generative AI</li>\n<li>Technical Proficiency: Strong coding skills in Python and experience with AI Frameworks (e.g., LangChain, LlamaIndex) and APIs</li>\n<li>Architectural Knowledge: Deep understanding of data flow design, prompt engineering, and model fine-tuning for highly regulated content</li>\n<li>Communication: Ability to translate complex AI concepts into business value for non-technical stakeholders in Legal, Medical, and Regulatory departments</li>\n<li>Collaboration: Proven track record of working with UX and Engineering to build intuitive tools for complex workflows</li>\n\n</div>"
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