8mo ago

Product Manager

China - DalianFull-Timemid

Product ManagementProduct ManagerPrincipal Product Manager

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Quick Summary

Overview

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.

Key Responsibilities

We are looking for a logically rigorous Product Manager to lead the evolution of our software solutions by bridging business goals with seamless user experiences.

Technical Tools

awsjavajavascriptlangchainopenaipythonsqlvueagileapi-designcustomer-successdata-analysissaas

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 looking for a logically rigorous Product Manager to lead the evolution of our software solutions by bridging business goals with seamless user experiences. In this role, you will be the architect of our product requirements, ensuring every feature is built on sound logic while proactively integrating AI capabilities to drive innovation and efficiency.

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.

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.

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).

Grants for fitness and communication

Healthy, free, provided snacks

#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.