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VP, Product Engineering



Posted on Thursday, July 6, 2023

Flutterwave was founded on the principle that every African must be able to participate and thrive in the global economy. To achieve this objective, we have built a trusted payment infrastructure that allows consumers and businesses (African and International) make and receive payments in a convenient borderless manner.

The Role: Flutterwave is looking for an VP of Product Engineering to join the organization and drive the development and enhancement of our payments platform. Your deep understanding of the payments industry, technical expertise, and strategic vision will be instrumental in shaping our product roadmap, fostering innovation, and ensuring the successful delivery of cutting-edge payment solutions. The individual will be responsible for leading all of the product engineering teams across the organization and would report directly to the CTO.

Location: US & UK

Responsibilities include but are not limited to:

  • Develop and execute the product engineering roadmap, aligning it with the company's overall business objectives and long-term vision.
  • Drive technical innovation by leveraging industry best practices and emerging technologies to deliver scalable and reliable payment solutions.
  • Foster a high-performance engineering culture, attracting and retaining top engineering talent, and promoting professional growth and development within the team.
  • Collaborate with executive leadership to define and execute the company's technology strategy, ensuring alignment with business goals.
  • Lead the end-to-end product development lifecycle, from ideation to delivery, ensuring timely and high-quality releases.
  • Work closely with product management and design teams to define product requirements, prioritize features, and establish development milestones.
  • Drive agile software development methodologies and foster a culture of continuous improvement and rapid iteration.
  • Lead and inspire a high-performing engineering team, providing mentorship, coaching, and performance feedback.
  • Ensure effective communication and collaboration across cross-functional teams to deliver products that meet market needs and customer expectations.
  • Stay up-to-date with industry trends and emerging technologies, evaluating their potential applications for enhancing our payment solutions.
  • Champion engineering best practices, quality assurance, and scalable architecture design to ensure the reliability, security, and performance of our systems.
  • Foster a culture of innovation, experimentation, and knowledge sharing within the engineering organization.
  • Collaborate closely with stakeholders across the organization, including product management, design, and business development, to drive cross-functional alignment and successful product launches.

Required competency and skillset to be a waver

  • Bachelor's degree in Computer Science, Information Technology, or a related field. A master's degree is preferred.
  • Minimum of 15 years of experience in software engineering, with 5+ years leading large engineering teams.
  • Experience in the payments industry is HIGHLY preferred.
  • Proven track record of successfully leading and scaling engineering teams in a fast-paced, technology-driven environment.
  • Extensive experience in product development and software engineering.
  • Experience in payments space highly desired
  • Strong technical background with a deep understanding of software architecture, cloud infrastructure, and scalable systems.
  • Solid knowledge of agile software development methodologies and tools.
  • Excellent leadership, communication, and interpersonal skills, with the ability to influence and inspire cross-functional teams.
  • Strategic mindset with the ability to translate business goals into technical strategies and execution plans.
  • Proven ability to drive innovation and technical excellence while balancing short-term deliverables and long-term goals.
  • Strong problem-solving and decision-making capabilities, with a focus on data-driven decision-making.

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