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The software company powering the path to the world’s new medicines.
The Role
Lead product direction and execution for life-sciences SaaS products, focusing on AI Agent capabilities. Manage full product lifecycle, conduct customer discovery, define AI use cases and quality metrics, drive cross-functional delivery with Engineering, Design, Data, and QA, and continuously improve adoption and business value.
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.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
We are seeking an experienced Senior Product Manager to join our product team, focusing on our suite of products for the life sciences industry. You will be responsible for the product direction and execution for key components. This role will focus on enhancing our SaaS solutions to help life sciences companies improve the effectiveness of their key commercial operations.
What You’ll Do
- Work closely with customers to understand their business challenges, workflows, and requirements.
- Translate customer needs into clear product requirements and scalable product solutions.
- Manage the full product lifecycle, including market research, product planning, development, launch, adoption, and continuous improvement.
- Identify product improvement opportunities and define and maintain the product’s mid- to long-term roadmap.
- Define AI Agent use cases, including agent goals, workflows, context, tool usage, human-in-the-loop design, exception handling, and success criteria.
- Work with Engineering, Design, Data, QA, and Solution Consulting teams to deliver high-quality AI Agent capabilities.
- Define and monitor AI product quality metrics such as accuracy, task completion, reliability, user trust, adoption, and business value.
- Use customer feedback and real-world product performance to continuously improve AI Agent capabilities.
- Provide cross-functional leadership to align priorities, drive decisions, and ensure successful product delivery and go-to-market.
Requirements
- 7+ years of experience in digital products, AI solutions, or a related field, with demonstrated ownership of complex products or initiatives across the full lifecycle, from discovery and design through delivery, launch, adoption, and ongoing improvement.
- Extensive customer-facing experience, with the ability to independently lead customer discovery and communicate effectively with senior business stakeholders.
- Strong ability to understand complex customer workflows, identify the underlying business problems behind stated needs, and translate ambiguous requirements into clear product direction and solutions.
- Hands-on experience designing, delivering, or continuously improving Generative AI, conversational AI, or AI Agent products.
- Experience designing AI Agent use cases, including defining agent goals, workflows, context requirements, tool usage, human-in-the-loop mechanisms, exception handling, and success criteria.
- Ability to define and evaluate AI product quality across dimensions such as accuracy, task completion, reliability, user trust, product adoption, and business value.
- Strong product judgment, with the ability to challenge assumptions, make thoughtful trade-offs, and clearly explain product decisions to customers and internal stakeholders.
- Proven cross-functional leadership, with the ability to build alignment with Product and Engineering teams, drive collaboration, and influence outcomes.
- Ability to operate independently in a fast-moving, ambiguous, and highly customer-facing environment.
- A high degree of professional ethics, integrity, accountability, and commitment to customer success.
Nice to Have
- Experience with enterprise SaaS products, configurable platforms, or multi-tenant product environments.
- A technical background in software engineering, computer science, data science, machine learning, solution architecture, or a related field.
- Familiarity with concepts such as large language models, RAG, prompt and context design, tool calling, agent orchestration, APIs, and enterprise data integration.
- Experience in life sciences, pharmaceutical commercial operations, medical affairs, CRM, or another regulated industry.
- Experience designing products that use enterprise data, knowledge bases, unstructured content, or external information sources.
- Familiarity with AI governance, data privacy, information security, compliance, auditability, and responsible AI practices.
#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.
Skills Required
- 7+ years of experience in digital products, AI solutions, or a related field with full lifecycle ownership
- Extensive customer-facing experience and ability to lead customer discovery with senior stakeholders
- Ability to understand complex customer workflows and translate ambiguous requirements into product direction
- Hands-on experience designing, delivering, or continuously improving Generative AI, conversational AI, or AI Agent products
- Experience designing AI Agent use cases including goals, workflows, context, tool usage, HITL, exception handling, and success criteria
- Ability to define and evaluate AI product quality across accuracy, task completion, reliability, trust, adoption, and business value
- Strong product judgment; ability to challenge assumptions and explain trade-offs to customers and stakeholders
- Proven cross-functional leadership to build alignment with Product and Engineering and influence outcomes
- Ability to operate independently in a fast-moving, ambiguous, and highly customer-facing environment
- High degree of professional ethics, integrity, accountability, and commitment to customer success
- Experience with enterprise SaaS products, configurable platforms, or multi-tenant environments
- Technical background in software engineering, computer science, data science, machine learning, solution architecture, or related field
- Familiarity with large language models, RAG, prompt and context design, tool calling, agent orchestration, APIs, and enterprise data integration
- Experience in life sciences, pharmaceutical commercial operations, medical affairs, CRM, or another regulated industry
- Experience designing products that use enterprise data, knowledge bases, unstructured content, or external information sources
- Familiarity with AI governance, data privacy, information security, compliance, auditability, and responsible AI practices
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.
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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.
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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.
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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
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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