Senior Product Manager

Reposted 2 Hours Ago
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Hiring Remotely in Boston, MA, USA
In-Office or Remote
100K-200K Annually
Senior level
Big Data • Cloud • Healthtech • Software • Big Data Analytics
The software company powering the path to the world’s new medicines.
The Role
The Senior Product Manager will design AI solutions to enhance the content lifecycle in life sciences, focusing on automating processes and stakeholder engagement.
Summary Generated by Built In
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.

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. 

#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].

Skills Required

  • 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
  • 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

Veeva Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veeva and has not been reviewed or approved by Veeva.

  • Equity Value & Accessibility Equity is broadly distributed across the company, positioning most employees as shareholders. Stock-based incentives can materially enhance total compensation, particularly at higher seniority.
  • Flexible Benefits Work Anywhere enables remote-first flexibility with options to use offices and to gather through offsites or coworking weeks. This structure supports collaboration while minimizing rigid on-site requirements.
  • Healthcare Strength Core coverage includes medical, dental, vision, HSA/FSA, life and disability, and EAP. Supplemental perks such as commuter assistance and wellness or gym reimbursements are available in some locations.

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The Company
HQ: Pleasanton, CA
6,000 Employees
Year Founded: 2007

What We Do

Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.

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