What You’ll Do
- Product Strategy & Roadmap: Own the end-to-end product lifecycle, from initial market research and vision setting to execution and post-launch optimization.
- Requirement Engineering: Author detailed Product Requirement Documents (PRDs) and User Stories that account for complex business logic, edge cases, and high-quality user flows.
- AI Feature Integration: Identify opportunities to embed AI (e.g., LLMs, automation, predictive analytics) into the product to solve user pain points and enhance value.
- Cross-functional Leadership: Act as the primary liaison between stakeholders, design, and engineering teams to ensure alignment on project scope and delivery timelines.
- Data-Driven Decision Making: Define key performance indicators (KPIs) and utilize data analytics to track product health and inform future feature iterations.
- Quality Assurance Partnership: Collaborate with the QA team to establish clear acceptance criteria and ensure the final output meets rigorous stability and performance standards.
Requirements
- Experience: 10+ years of experience in Software Product Management, successfully managing products through multiple release cycles.
- SaaS & Cloud Familiarity: Proven experience in building or managing SaaS (Software as a Service) applications and a strong understanding of Cloud Services (e.g., AWS, Ali Yun) from a product perspective.
- Methodology: Strong understanding of the Software Development Lifecycle (SDLC) and experience working within Agile/Scrum environments.
- AI Literacy: A solid conceptual understanding of Artificial Intelligence capabilities (especially Generative AI) and the ability to translate AI potential into practical product features.
- Logical Prowess: Exceptional analytical and logical thinking skills, with a proven ability to map out complex systems and handle intricate "if-then" scenarios.
- Communication: Mastery in articulating technical concepts to non-technical stakeholders and business goals to engineering teams.
- Education: Bachelor’s degree in business, Computer Science, or a related field.
- AI Hands-on: Experience working with AI APIs (e.g., OpenAI, LangChain) or prompts engineering to achieve specific product outcomes.
Nice to Have
- Technical Proficiency: Practical experience or a strong understanding of Python, Java, Vue.js, or modern software development frameworks.
- Architectural Insight: Deeper familiarity with enterprise system architecture, API design, and cloud-based infrastructure components.
- Data Skills: Ability to write SQL queries and a deep understanding of data structures to perform independent analysis.
- Domain Expertise: A professional background in Engineering or Quality Assurance (QA).
Perks & Benefits
- Grants for fitness and communication
- Healthy, free, provided snacks
#LI-MidSenior
Skills Required
- 10+ years of experience in software product management, managing products through multiple release cycles
- Experience building or managing SaaS applications
- Strong understanding of cloud services, such as AWS or Alibaba Cloud, from a product perspective
- Strong understanding of the software development lifecycle and experience in Agile or Scrum environments
- Conceptual understanding of artificial intelligence, especially generative AI, and ability to translate AI capabilities into product features
- Exceptional analytical and logical thinking skills, including handling complex systems and if-then scenarios
- Ability to communicate technical concepts to non-technical stakeholders and business goals to engineering teams
- Bachelor's degree in business, computer science, or a related field
- Practical experience or strong understanding of Python, Java, Vue.js, or modern software development frameworks
- Familiarity with enterprise system architecture, API design, and cloud infrastructure components
- Ability to write SQL queries and strong understanding of data structures for independent analysis
- Experience with AI APIs such as OpenAI or LangChain, or prompt engineering
- Professional background in engineering or quality assurance
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.
-
Healthcare Strength — Health, dental, vision, and mental health coverage are provided alongside HSA/FSA options, with some locations adding fitness reimbursements or gym support. These offerings contribute to a comprehensive core healthcare package.
-
Equity Value & Accessibility — Broad-based equity, RSUs/options, and an employee stock purchase plan are part of total rewards, with widespread participation noted across the company. In several roles, equity is considered a meaningful component that lifts total compensation.
-
Parental & Family Support — Support includes maternity and paternity leave, adoption assistance, fertility benefits, childcare benefits, and family medical leave. These programs signal a family-friendly approach to time off and caregiving needs.
Veeva Insights
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.
Gallery








