Technical Product Manager - AI Solutions
VeevaThis Senior Product Manager role focuses on designing and delivering production-ready AI Agent solutions within the life sciences domain to automate complex regulatory and clinical processes.
What you’d own
- Design and development of AI solution prototypes
- Production AI Agent applications including data flow and orchestration
- Prompt engineering and model integration
- Automating business processes with engineering and UX teams
Who it’s for
A fit if you…
- ✓You have 2+ years of experience specifically focused on AI/ML applications
- ✓You possess coding skills in Python and hands-on experience with AI frameworks
- ✓You can translate complex technical concepts for non-technical stakeholders
Not for you if…
- ✗You prefer high-level strategy over hands-on prototype development and prompt engineering
- ✗You lack a technical background in data flow design or algorithm selection
- ✗You are looking for a generalist role without specific domain focus (Life Sciences/Clinical)
Reading between the lines
- The requirement for 'hands-on' prototype development and Python skills suggests a highly technical, engineering-adjacent product role rather than a purely commercial one.
- The mention of working with 'application PMs' implies you will be a specialist contributor to a larger product suite rather than owning the entire end-to-end business unit.
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Benefits
Full job description
About Veeva
See all roles →Veeva is the industry cloud for life sciences, providing software, AI, data, and consulting across R&D, quality, regulatory, safety, medical, and commercial functions for pharmaceutical and biotech companies. Its Vault platform and Vault CRM run mission-critical workflows like clinical trials, regulatory submissions, and HCP engagement, and it serves more than 1,500 customers from the largest pharma companies to emerging biotechs, with 85% of newly approved drugs launched on Veeva. Founded in 2007 and publicly traded, Veeva is a Public Benefit Corporation that weighs the interests of customers, employees, and communities. It is investing heavily in agentic AI for drug development and commercial teams, making it a strong fit for a PM who wants deep domain work in regulated, high-stakes vertical SaaS.
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