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YozmaTech

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Product manager (cancelled)

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Summary

Product manager for a YozmaTech client — an award-winning ad tech company focused on cookieless identity resolution, activation, and attribution. The role owns the roadmap and development timeline, coordinates cross-functional and offshore R&D teams, maintains documentation, analyzes customer feedback, and joins pre-sales calls and product demos.

Our client is an award-winning ad tech company in the domain of identity resolution, recognized as the 2023 Best Identity Technology Company. The company helps deliver outstanding campaign results for advertisers through cookieless activation and attribution solutions, while simultaneously increasing publishers' revenue with cookieless inventory monetization.

What you'll do:

  • Define the product roadmap, manage the development timeline, integration steps, and
  • functional progress
  • Facilitate development processes across several internal interfaces
  • Work closely with R&D teams
  • Generate and maintain accurate and up-to-date documentation for both internal and
  • external stakeholders
  • Analyze customer requests, feedback, and insights
  • Participate in pre-sales calls with customers and conduct product demonstrations

What will you bring:

  • 3-5 years of experience in product management
  • Experience working in a cross-functional team in a fast-paced environment
  • Experience working with multicultural and offshore teams
  • Previous experience in bringing an idea to life (e.g., a startup, a big project)
  • Good understanding of UI/UX
  • Familiarity with market research, business analysis, and product techniques
  • Ability to understand, discuss, and communicate technical concepts, prioritization, and risk assessment
  • Proficient in English, as many of our customers and team members are English-native or offshore
  • A strong collaborator who knows how to engage, collaborate, and motivate others
  • Experience with B2B products
  • Experience in ad-tech (product, ad ops, media buying, programmatic, etc.) is highly advantageous
  • Strong Technical Background - an advantage
  • Experienced as product in Machine / Deep learning - an advantage

Skills

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