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Vice President Commerce Engineering – United States in IT & DevOps Department
in GoDaddy - United States

Remote
Full-time
Senior
Permanent

Job description

See job offer description.


In this pivotal role, you will drive product execution and embody our core values of owning outcomes, building value, joining forces, and working courageously. Your responsibilities will include defining and executing the engineering strategy to deliver a robust, scalable commerce platform, balancing scalability, reliability, and customer experience. You’ll foster a culture of innovation by championing cutting-edge technologies, such as data science, machine learning, and modern cloud architectures. Collaborating cross-functionally with Product and GTM teams, you’ll ensure seamless commerce solutions that elevate customer experiences. As the leader of a high-performing engineering team, you’ll inspire, manage, and develop over 200 engineers, creating an environment of collaboration and results-oriented mindset. Your extensive experience in Engineering Management, particularly in payments, commerce, and financial products, will be invaluable as you guide the team to meet ambitious growth objectives. The role demands strong leadership abilities and industry knowledge to differentiate our commerce platform in a competitive marketplace. Your understanding of customer needs will be critical in driving effective solutions. This position offers a unique opportunity to shape the future of GoDaddy’s commerce platform and influence the company’s trajectory for years to come.

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Benefits

  • Paid time off
  • Retirement savings (e.g., 401k, pension schemes)
  • Bonus/incentive eligibility
  • Equity grants
  • Participation in employee stock purchase plan
  • Competitive health benefits
  • Family-friendly benefits including parental leave

Job requirements

  • 15+ years of experience in Engineering Management
  • Strong leadership abilities and track record of fostering innovation
  • Deep industry knowledge in payments and commerce
  • Expertise in data-driven leadership and machine learning
  • Experience in customer needs analysis and solution development
  • Bachelor’s or Master’s degree in relevant fields preferred
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