← Back to jobs
Full-time

Product Manager - Veeva Clinical Operations

$75K/yr – $165K/yr

Life sciences industry cloud software, AI, data, and consultingIT & TechnologyPosted 21d ago

You'll complete your application on the employer's website.

Job description

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. The Product Manager will drive features and enhancements for the Vault Clinical Operations suite, collaborating with customers and cross-functional teams to execute product vision, manage the backlog, and support clinical trial workflows. The role also involves defining requirements, evaluating product performance, and staying aligned with regulatory and industry developments.

Responsibilities

Execute the end-to-end product lifecycle for specific features within the Vault Clinical Operations suite, from concept to release and iteration

Engage directly with customers, domain experts, and internal stakeholders to gather business requirements and understand clinical workflows

Author clear feature specifications, user stories, and acceptance criteria for Engineering, QA, and UX design teams

Manage and prioritize the product backlog, balancing customer requests, enhancements, and strategic initiatives

Serve as an application expert, educating Sales, Solution Consultants, Professional Services, and Support teams through documentation and product demos

Track key usage metrics to evaluate feature performance and inform data-driven product decisions

Stay aligned with regulatory guidelines and industry updates impacting clinical trial management

Preferred

Domain knowledge in clinical operations (e.g., eTMF, CTMS, SSU, or CDMS) from a pharma, biotech, CRO, or life sciences technology vendor

Experience in regulated industries (e.g., GCP, 21 CFR Part 11)

Familiarity with the Veeva Vault Platform

Clinical Operations

eTMF

CTMS

SSU

CDMS

Pharmaceutical Industry

Biotechnology Industry

CRO Experience

Life Sciences Technology

GCP Compliance

21 CFR Part 11

Veeva Vault Platform

Benefits

Medical, dental, vision, and basic life insurance

Flexible PTO and company paid holidays

Retirement programs

1% charitable giving program

Work from home or in the office

Variable bonus and/or stock bonus

Company

Life sciences industry cloud software, AI, data, and consulting

Pleasanton, California, USA

http://www.veeva.com/

Founded in 2007

5001-10000 employees

Qualifications

3+ years of Product Management experience, preferably within B2B enterprise SaaS applications

Proven track record of managing product features through the development lifecycle to successful launch

Experience working within an agile software development environment

Strong communication and cross-functional collaboration skills with the ability to articulate clear product requirements

Analytical mindset with strong problem-solving capabilities

Commitment to professional integrity and ethical decision-making

Ability to travel up to 15% for customer research and internal events

Domain knowledge in clinical operations (e.g., eTMF, CTMS, SSU, or CDMS) from a pharma, biotech, CRO, or life sciences technology vendor

Experience in regulated industries (e.g., GCP, 21 CFR Part 11)

Familiarity with the Veeva Vault Platform

3+ years of Product Management experience, preferably within B2B enterprise SaaS applications.

Required skills

Product Management, B2B Enterprise SaaS, Agile Software Development, Clinical Operations, Clinical Trial Management, GCP, 21 CFR Part 11, Veeva Vault Platform

Preferred skills

Familiarity with the Veeva Vault Platform

Experience

3+ years

Interested in this role?

Apply directly on the employer's website — it only takes a few minutes.

Similar vacancies

Other roles in Life sciences industry cloud software, AI, data, and consulting or IT & Technology

Seattle, New York, San FranciscoIT & TechnologyPosted 30+ Days Ago

As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML…