Product Manager - AI

Canada - Toronto

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Veeva Systems
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Posted 2 weeks ago

At Veeva, we build enterprise cloud technology that powers the biggest names in the pharmaceutical, biotech, consumer goods, chemical & cosmetics industries. Our customers make vaccines, life-saving medicines, and life-enhancing products that make a difference in everyday lives. Our technology has transformed these industries; enabling them to get critical products and services to market faster. Our core values, Do the Right Thing, Customer Success, Employee Success, and Speed, guide us as we make our customers more efficient and effective in everything they do.
The Role
Veeva is looking for an all-star Product Manager to join the Vault Outside Life Science (OLS) team.  We’re looking for a high-energy, passionate individual with a deep technical background who is eager to drive product advancement and innovation.  In this role, you will be responsible for creating game-changing products in the manufacturing industries such as Consumer Packaged Goods, Chemical, and Cosmetics.  If you have a passion for creating world-class products and enjoy solving complex problems with simple, elegant solutions, you may be a good fit for this position.    

What You'll Do

  • Involved in sales discussions, potentially fueling the conversation about what AI can do. Bringing clarity to the discussion
  • Work with customers and implementation teams to build out custom solutions
  • Build POCs with AWS assistance and consulting PMs on opportunities
  • Be hands-on.  Design, Prototype, Configure - validate solutions rapidly to ensure we solve the right problems, in the right order
  • Be a storyteller. Author & design high-quality specifications and communicate specific, actionable requirements to your engineering teammates
  • Be a leader. Look for opportunities to innovate, keep up with the latest software, machine learning, manufacturing industries trends, and distill them into product requirements
  • Be agile. Design, implement, iterate
  • Take pride in your work

Requirements

  • 2+ years of software development/architect, product management or technical consulting role in AI
  • 5+ years of professional work experience in agile software development environments
  • Demonstrated skills in design, product development, and planning
  • Ability to work independently in a fast-paced environment, with little direct supervision
  • Excellent oral and written communication skills with the ability to effectively explain complex problems and advocate technical solutions to Engineering and customers
  • Degree in computer science or engineering
  • Experience with AI and Machine Learning Models
  • Experience with Natural Language Processing
  • Must be based in the GTA and available to work out of our office in downtown Toronto

  • Qualified candidates must be legally authorized to be employed in Canada. Veeva does not provide sponsorship of employment visa for this position.

Nice to Have

  • Experience working in the following industries: Consumer Packaged Goods, Chemical and Cosmetics
  • Experience working on SaaS enterprise applications or content management systems
  • Experience with API and data exchange schemas
  • Experience with data migration
  • Experience with Search matching algorithms and heuristics
  • Experience with Python, SQL, XML, and JSON

Perks & Benefits

  • Conveniently located in downtown Toronto
  • Snacks, beverages, and weekly lunches from local restaurants
  • Team events and rec league sports teams
  • Allocations for continuous learning & development
  • Health & wellness programs
  • Weekly yoga classes
  • Ping pong and other games
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva Systems is an equal opportunity employer. Accordingly, we are committed to fair and accessible employment practices. Veeva Systems welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process.
Job tags: Architect AWS Engineering Product management Python SQL