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R&D Manager

Ultra AdsApplies on LinkedInOther
Hiring from
United Arab Emirates
Work type
Remote
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Role Description The R&D Manager at Ultra Ads is a part-time remote role responsible for leading research and development initiatives that enhance the company’s advertising technologies and solutions. This role involves designing and managing R&D projects, defining objectives and success metrics, and coordinating cross-functional input from product, engineering, and marketing teams. The R&D Manager will oversee the research process, analyze findings, and translate insights into actionable strategies, prototypes, or product improvements. Day-to-day tasks include prioritizing project pipelines, supervising team members, troubleshooting technical or process issues, and reporting progress and outcomes to senior leadership. The role also includes identifying emerging trends in ad tech, evaluating new tools or methodologies, and ensuring that R&D efforts align with business goals and client needs.

Qualifications

  • Candidates should possess strong Research and Development (R&D) and Research skills, including designing studies, analyzing data, and generating practical insights.
  • Candidates should possess Team Management and Team Leadership skills to guide, mentor, and coordinate a distributed R&D team.
  • Candidates should possess Project Management skills to plan, execute, and deliver R&D initiatives on time and within scope.
  • Candidates should have excellent analytical and problem-solving abilities, with the capacity to translate complex findings into clear recommendations.
  • Candidates should demonstrate strong communication skills, both written and verbal, for presenting results to technical and non-technical stakeholders.
  • Candidates should be comfortable working independently in a remote environment and collaborating across time zones using digital tools.
  • Experience in advertising technology, data-driven marketing, or a related digital product environment is beneficial.
  • A bachelor’s or master’s degree in a relevant field such as engineering, computer science, data science, business, or a related discipline is preferred.

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