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Technical Product Manager - AI Solutions

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-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 talent_accommodations@veeva.com.

Average salary estimate

$120000 / YEARLY (est.)
min
max
$75000K
$165000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Technical Product Manager - AI Solutions, Veeva Systems

Join Veeva Systems as a Technical Product Manager - AI Solutions in the vibrant city of Boston, Massachusetts! As a pioneer in the industry cloud, we're dedicated to helping life sciences companies expedite the delivery of therapies to patients. With our commitment to our core values - doing the right thing, ensuring customer success, fostering employee success, and maintaining speed - we’ve established ourselves as one of the fastest-growing SaaS companies in history. In this role, you’ll immerse yourself in designing and implementing high-value AI agent solutions tailored for the Veeva Development Cloud. You'll leverage your 5+ years of experience in enterprise software product management and your passion for AI/ML applications to enhance clinical trials, automate regulatory submissions, and improve pharmacovigilance processes. Collaborating with engineers and UX teams, you’ll create automated solutions that truly make a difference for our customers. As part of our diverse and inclusive team committed to making a positive impact, you'll have flexibility in your work environment—whether at home or in the office. If you’re ready to be at the forefront of transforming the life sciences industry while exemplifying what it means to be a part of a public benefit corporation, Veeva Systems is the place for you!

Frequently Asked Questions (FAQs) for Technical Product Manager - AI Solutions Role at Veeva Systems
What are the main responsibilities of a Technical Product Manager - AI Solutions at Veeva Systems?

As a Technical Product Manager - AI Solutions at Veeva Systems, you will design and deliver production-ready AI agent solutions for the Veeva Development Cloud. Key responsibilities include hands-on development of AI prototypes, collaborating with application product managers and customers, and automating business processes with engineering and UX teams. You’ll also present AI solution capabilities to stakeholders, ensuring our products lead the way in clinical efficiency and patient care.

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What qualifications do I need for the Technical Product Manager - AI Solutions position at Veeva Systems?

To qualify for the Technical Product Manager - AI Solutions role at Veeva Systems, candidates should have a minimum of 5 years in enterprise software product management, engineering, or consulting, with at least 2 years focused on AI/ML applications. Proficiency in data flow design, coding in Python, and familiarity with AI frameworks and APIs are essential. Strong collaboration and communication skills are crucial, especially when working with non-technical stakeholders.

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How does Veeva Systems support flexibility for the Technical Product Manager - AI Solutions role?

Veeva Systems embraces a Work Anywhere culture, allowing Technical Product Managers - AI Solutions the flexibility to work from home or in the office according to what suits their productivity best. This approach not only enhances work-life balance but also empowers you to thrive in an environment where you feel most comfortable and effective.

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What is the compensation range for the Technical Product Manager - AI Solutions position at Veeva Systems?

The salary range for the Technical Product Manager - AI Solutions role at Veeva Systems is between $75,000 and $165,000. This range is compliant with local regulations and is based on individual qualifications and experience. Additional compensation may include variable bonuses or stock options, making it a competitive package in the industry.

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What is the significance of Veeva Systems being a public benefit corporation for the Technical Product Manager - AI Solutions role?

Veeva Systems, as a public benefit corporation, legally emphasizes the balance between stakeholder interests—customers, employees, and society—while achieving business goals. For the Technical Product Manager - AI Solutions role, this means contributing to meaningful work that positively impacts the life sciences industry, aligning with our mission to deliver efficient and effective AI solutions for better patient outcomes.

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Common Interview Questions for Technical Product Manager - AI Solutions
What experience do you have in managing AI projects?

In answering this question, provide examples of specific AI projects you've managed, detailing your role, the challenges faced, and how you overcame them. Highlight any relevant metrics that demonstrate success, and emphasize your knowledge of AI/ML concepts, showcasing your ability to guide teams towards effective solutions.

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How do you approach the design of AI solutions for life sciences applications?

Discuss your process of collaborating with stakeholders to understand their needs and the specific domain challenges of life sciences. Highlight your experience with data flow design, algorithm selection, and integration of models, and explain how you ensure alignment with customer goals while adhering to regulatory standards.

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Can you describe a time you faced a conflict within a team and how you resolved it?

Share a specific instance of conflict, focusing on your role in promoting open communication. Explain the steps you took to mediate the discussion, highlighting your collaborative skills, and illustrating how resolving this conflict strengthened team dynamics and project outcomes.

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What tools and frameworks do you prefer for developing AI solutions?

Talk about your favorite AI frameworks and tools such as TensorFlow, PyTorch, or other specific systems you've effectively employed. Mention how you've utilized them in previous roles and the impact these tools had on your project's success, demonstrating your technological adeptness in the AI space.

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How do you ensure your AI solutions are user-friendly?

Emphasize the importance of user-centered design in AI solutions. Discuss your collaboration with UX designers to create intuitive applications and share examples of user testing you've conducted. Highlight how user feedback directly influences decision-making and enhances the user experience in your solutions.

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What do you consider when presenting AI solutions to non-technical stakeholders?

When presenting to non-technical stakeholders, clarity is key. Describe your approach of simplifying technical jargon into relatable terms, using visual aids to illustrate concepts effectively. Discuss how you gauge audience understanding and adjust your presentation accordingly to ensure engagement and comprehension.

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What is your process for keeping abreast of AI trends and advancements?

Share your routine for staying updated with advancements in AI, including reading industry publications, attending conferences, and participating in online forums. Emphasize how continuous learning informs your product management decisions and helps you anticipate market changes.

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Describe your experience with data analysis in AI development.

Outline your background in data analysis, including tools and methodologies you have used. Discuss how this experience directly contributes to informed decision-making in AI development, as well as any specific successes achieved through data-driven insights.

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How do you prioritize tasks in a fast-paced environment?

Explain your strategy for task prioritization, such as utilizing frameworks like the Eisenhower Matrix. Share personal anecdotes about handling multiple projects or tight deadlines, detailing how you maintain focus and ensure that the most crucial tasks are completed efficiently.

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What steps do you take to measure the success of AI solutions post-launch?

Discuss the KPIs and metrics you rely on to evaluate the effectiveness of AI solutions after launch. Emphasize the importance of customer feedback and data analysis in assessing success, and share examples of how you have iterated on AI solutions based on these insights to improve overall performance.

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Veeva Systems is a leading cloud-computing company for the global life sciences industry. The company is based in the San Francisco Bay Area and serves more than 950 customers, ranging from the world’s largest pharmaceutical companies to biotechs.

392 jobs
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BADGES
Badge ChangemakerBadge Family FriendlyBadge Flexible CultureBadge Work&Life Balance
CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
BENEFITS & PERKS
Family Medical Leave
Maternity Leave
Paternity Leave
Lactation Facilities
Family Coverage (Insurance)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
Paid Time-Off
Paid Volunteer Time
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 21, 2025

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