VP of Product & Engineering, AI Platform in Winnipeg

VP of Product & Engineering, AI Platform in Winnipeg

Winnipeg Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead product and engineering teams to innovate in AI and retail media.
  • Company: Join a forward-thinking company at the forefront of AI technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with global impact and career advancement potential.
  • Why this job: Shape the future of retail media with cutting-edge AI solutions.
  • Qualifications: Proven leadership in product and engineering, especially in AI.

The predicted salary is between 135000 - 165000 $ per year.

PLLCA Perpetua Labs Ltd is seeking a VP of Product and Engineering to own Perpetua end-to-end.

You will set technical and product direction for a focused team with autonomy and global backing, reporting to the GM.

Leadership across product, engineering, and AI strategy will be essential to drive growth in the rapidly evolving retail media landscape.

The role emphasizes building scaleable systems on GCP/AWS, advancing AI-enabled features, and shaping platform strategy with strong cross-functional

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VP of Product & Engineering, AI Platform in Winnipeg employer: PLLCA Perpetua Labs Ltd

At Perpetua Labs Ltd, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects. As a VP of Product & Engineering, you'll benefit from our commitment to professional growth, with access to cutting-edge technology and a collaborative environment that encourages creativity and strategic thinking. Located in a vibrant tech hub, we offer competitive benefits and the unique opportunity to lead transformative AI initiatives in the retail media landscape.

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Contact Details:

PLLCA Perpetua Labs Ltd Recruitment Team

We think you need these skills to ace VP of Product & Engineering, AI Platform in Winnipeg

Leadership
Product Management
Engineering Management
AI Strategy
Cloud Platforms (GCP/AWS)
Scalable Systems Development
Cross-Functional Collaboration