Team: Product Management & Alliances
Country: Germany
Remote Work Available: Yes
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 $2B in revenue in our last fiscal year with extensive growth potential ahead.
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.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

REQUIREMENTS

• 5+ years of successful track record in Software Product Management
• Experience collaborating with data engineering and software engineering
• Ability to drill into processes of human data curation and data quality metrics
• Computer science background
• Fast learner, team first, and work ethic
• Strong communication and interpersonal skills
  

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Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.
Work Where It’s Best for You
Work Anywhere means you can work in an office or at home on any given day. It’s about getting the work done in the way and place that works best for each person. This applies across all locations and departments.
Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours.
We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We’re investing more in offices, culture, and offsite meetings, not less.
Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly.
Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers.
When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that.
Work at Veeva. Work where it’s best for you

THE ROLE

In your role as the Product Manager for cLean OpenData, you will define and build a lean data capturing and curation tool for a Customer Reference Data product. Your tool will be deployed in the OpenData regions Europe, Canada, Middle East, Africa and Central Asia.
You will collaborate with our data engineering, data product, and data operations teams.
You will make sure our data is high quality and the production tools enable efficient execution. Product excellence is your main goal.

WHAT YOU’LL DO

• Define and build the capture Lean (cLean) tool for OpenData
• Manage the backlog for your engineering team
• Design and evaluate success metrics such as cost savings, quality and relevance
• Make sure your features are implemented in production and working
• Innovate using AI for data curation