Lead Product Manager, AI-Driven Enterprise Services in Vancouver

Lead Product Manager, AI-Driven Enterprise Services in Vancouver

Vancouver Full-Time 121500 - 148500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead AI-driven product strategy and execution for innovative enterprise services.
  • Company: Asana, a leader in productivity software with a focus on collaboration.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team in a fast-paced environment with endless possibilities.
  • Why this job: Shape the future of AI in enterprise services and make a real impact.
  • Qualifications: Experience in product management and a passion for AI technology.

The predicted salary is between 121500 - 148500 $ per year.

Asana is seeking a Lead Product Manager for Enterprise Services Management to drive AI-powered product strategy and execution.

You will work across engineering, design, experience research, data science, and GTM teams to shape a new business line from 0β†’1, leveraging AI agents and deep integrations within the Work Graph.

This role emphasizes ambiguity, rapid experimentation, and customer-driven roadmaps, with an office-centric hybrid schedule in San Francisco.

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Lead Product Manager, AI-Driven Enterprise Services in Vancouver employer: Asana

Asana is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about shaping the future of AI-driven enterprise solutions. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work alongside talented professionals in a vibrant San Francisco office. The hybrid work model allows for flexibility while still promoting teamwork and creativity, making it an ideal environment for meaningful and rewarding employment.

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Contact Details:

Asana Recruitment Team

We think you need these skills to ace Lead Product Manager, AI-Driven Enterprise Services in Vancouver

Product Strategy
AI Integration
Cross-Functional Collaboration
Rapid Experimentation
Customer-Driven Roadmaps
Data Science Collaboration
Engineering Coordination