Jobs at Veeva

Own the roadmap and feature development for Veeva Training, a life sciences Learning Management System. Serve as product evangelist and subject matter expert, design and prototype solutions, write requirements, define AI use cases, and collaborate with customers, sales, consulting, UX, and engineering teams. The role requires enterprise SaaS product management experience, strong communication, independent execution, 20% travel, and proximity to the Eastern Time zone.

Manage job requisitions across ATS platforms, career pages, and job boards; maintain accurate candidate pipeline data; support compliance and reporting; partner with recruiters and hiring managers to improve recruiting workflows; and contribute to strategic talent initiatives and operational projects.

Design and execute multi-platform manual and automated testing for mobile, Windows, web, and hybrid applications. Develop test strategies, automation suites, documentation, risk assessments, and defect reports; validate compatibility, concurrency, APIs, databases, and complex edge cases. Collaborate with product and engineering teams, support agile releases, manage device-testing environments, and mentor junior quality engineers.

Develop and execute manual and automated tests for a SaaS platform, including functional, regression, performance, API, and non-functional testing. Document defects, maintain test cases and data, integrate automated suites into CI/CD pipelines, and collaborate with Product, Engineering, Implementation, Customer Success, and Support teams. Research AI-driven and LLM-based testing approaches, provide quality reports, and independently improve QA processes.

Lead the full QA lifecycle for Veeva Network MDM, including requirements review, test strategy, test execution, cross-platform workflow validation, integration testing, documentation, defect investigation, and collaboration with engineering, product, and automation teams in an Agile environment.

Own the vision, strategy, and roadmap for Veeva Vault PromoMats capabilities, including claims management, MLR workflows, digital asset management, and AI automation. Conduct customer discovery, define requirements, measure product impact, and partner with Engineering, UX, QA, Sales, Services, and Support to deliver compliant, scalable solutions. The role requires enterprise product management experience, hands-on LLM and generative AI expertise, Python coding, AI framework knowledge, and familiarity with marketing operations and regulated life sciences workflows.

Performs functional and automated testing for cloud-based applications in a quality assurance and release engineering team. Responsibilities include developing automation frameworks and scripts, creating test plans and cases, conducting QA tests, verifying outcomes, debugging automation environments, and supporting scalable cloud test infrastructure. The role is designed for graduates and candidates developing quality engineering skills.

Define, design, prioritize, and deliver enterprise software features for regulatory professionals in the life sciences industry. Translate customer and business needs into design specifications, collaborate with engineering and QA through implementation, and serve as a product subject matter expert. The role requires enterprise software product management experience, technical communication skills, and knowledge of databases and web technologies.

Own the Falcon Writer product roadmap and deliver AI-powered authoring features for regulated life sciences content. Translate customer workflows into product requirements, collaborate with engineering and QA, define success metrics, conduct customer discovery, and ensure quality, compliance, verification, and human review. The role requires hands-on product management, AI feature experience, strong stakeholder communication, and comfort solving ambiguous problems with cross-functional teams.

Perform functional and automated software testing, create test plans and bug reports, triage automation results, verify product outcomes, and collaborate with engineering and product teams in an Agile environment. The role also involves developing product expertise and improving regression test coverage through automation.

Lead migration solutions for life sciences companies, advising on ETL processes, mentoring staff, and ensuring customer success with Veeva Vault R&D applications.

The Senior Product Manager will lead the development of AI-driven solutions to optimize MLR processes and improve compliance for life sciences companies.

Leads data architecture, integrations, product analytics, and client-specific analyses for an AI-enabled life sciences platform. Partners with engineering, product, solutions, and client services teams to build scalable, AI-ready data systems and improve measurement insights. Manages and mentors data analysts and engineers while supporting pharmaceutical and life sciences customer needs.

Own end-to-end product development for Veeva Network integrations, defining API/data connector specs, driving AI-enabled features, coordinating cross-functional teams, and evangelizing the product to customers and internal stakeholders.

Design and deliver scalable backend services for Veeva Ostro's SaaS platform. Architect high-performance APIs, optimize application and database performance, collaborate cross-functionally to ship features, champion code quality and testing, evaluate backend technologies, and troubleshoot live system issues to maximize uptime.

The Associate Product Manager will enhance the Veeva Network MDM platform by integrating critical data into enterprise applications, conducting research, and managing product features while collaborating with engineering and client teams.

Lead the development of Veeva's Campaign Manager product within the Vault CRM, gathering input, collaborating with teams, and ensuring quality deliverables. Focus on understanding market needs and creating strategic roadmaps.

The Senior Product Manager will manage data quality features for the Compass Platform, collaborating with teams to enhance data integrity and deliver product features. Responsibilities include designing specifications, managing backlogs, and ensuring product releases align with customer needs.

The Senior Product Manager will define, design and deliver the SAP ERP integration strategy for Veeva Quality applications, ensuring seamless integration and high-quality product features.