The software company powering the path to the world’s new medicines.
The Role
The role involves designing AI solutions for medical applications, automating processes, and collaborating with various teams to enhance product efficiency.
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 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-RemoteUS
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
- 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
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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Healthcare Strength — Health, dental, vision, life, disability, and mental health coverage are provided, alongside FSAs, wellness programs, and fitness stipends. These offerings present a comprehensive healthcare package relative to typical tech benefits.
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Equity Value & Accessibility — Equity is a meaningful component of total compensation, with RSUs/options cited as part of packages. Engineering examples highlight strong base pay paired with "good RSU + ISO."
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Wellbeing & Lifestyle Benefits — Work Anywhere flexibility, home‑office stipends, wellness programs, fitness reimbursements, and company‑sponsored events support day‑to‑day wellbeing. A 1% charitable giving allowance further enhances lifestyle and purpose-driven engagement.
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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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