Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries.

We are seeking a Product Manager Lead who will be responsible for leading a team of product managers, product planning, delivery, and marketing throughout the product lifecycle

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You will

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  Maximize clarity by bringing a data-driven mindset to setting goals and milesto
• nesConceptualize and analyze different parts of our infrastructure and how they interrel
• ateInspire the company by creating bold, game-changing ideas and delivering them across a set of customer probl
• emsElicit non-obvious customer needs, synthesizes research to gain a deep understanding and narrow definition of a prob
• lemCo-create with teammates to deliver high-quality results. Speak and write with clarity. Comfortable getting into deep technical discussions with engineers about the pros and cons of different approach

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Requireme

• nts:
  7+ years of experience as Product Manager or Technical Product Manager at world-class SaaS companies that have seen significant growth and are known for best-in-class pro
• duct.2+ years experience leading product management t
• eams.Product experience in building and launching highly scalable and reliable services is a
• plus.A high bar across the board - from your own contributions to the people you work with to the products you wor
• k on.A personality that encourages action, great collaboration and excellent simplification for communica
• tion.You never hesitate to roll up your sleeves and address something hand
• s-on.Customer-centricity - you have many examples from your past of tough product issues that you persevered through to ensure customer satisfa
• ctionBA/BS in Computer Science or related field. Technical understanding must go from the highest abstractions down to the har