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Salary
≈ $67k – $176k per year (Estimated)
Location
In office (Herzliya)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Oct 25, 2026.

Overview
Company
Impact
Profile match
Papaya Global is a workforce payments company founded in Israel in 2016 and headquartered in Tel Aviv, offering a cloud platform for global payroll, employer of record services and contractor payments. Its platform covers hiring, onboarding, compliance and paying employees in more than 160 countries, the company has raised over $400 million from venture investors, and it runs offices in Herzliya, London, New York, Austin and Barcelona. It hires account executives, sales development representatives, payroll and EOR implementation managers, compliance and KYC analysts, software architects and security engineers.

Description

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.

In this fast-paced, dynamic environment, you’ll have the opportunity to make a meaningful impact on the future of work. If you’re a self-starter who thrives on innovation, takes ownership, and is committed to excellence, we’d love to hear from you.

As part of our team, you’ll have access to the resources, support, and ongoing professional development opportunities you need to grow and succeed.

You will:

  • Bring a data-driven mindset to defining goals, setting priorities, and establishing clear milestones.
  • Understand and analyze complex technical infrastructure, identifying how different systems and components interact.
  • Develop bold, innovative product ideas and translate them into impactful solutions to address customer needs.
  • Identify underlying customer needs, synthesize research and insights, and clearly define the problems worth solving.
  • Leverage AI tools to accelerate product discovery, synthesize customer feedback, analyze information, and improve the quality and efficiency of product decision-making.
  • Identify opportunities to incorporate AI capabilities into products and workflows, evaluating their potential value, feasibility, and impact on customers.
  • Collaborate closely with cross-functional teams to deliver high-quality products and outcomes.
  • Communicate complex ideas clearly and confidently, including engaging in in-depth technical discussions with engineers to evaluate trade-offs and technical approaches.
  • Take ownership of product challenges, proactively identify opportunities for improvement, and drive initiatives from concept to execution.

Requirements

  • 4+ years of experience as a Product Manager or Technical Product Manager at leading SaaS companies, ideally in high-growth environments with a strong track record of product excellence.
  • Experience building and launching highly scalable, reliable services is a strong plus.
  • Demonstrated ability to use AI tools effectively in day-to-day work to improve productivity, research, analysis, and decision-making.
  • Understanding of AI capabilities and limitations, with the ability to critically evaluate AI-generated outputs and apply sound judgment when using them.
  • A high bar for quality and excellence in your own work, your team’s contributions, and the products you help build.
  • A proactive, action-oriented mindset, with strong collaboration skills and the ability to simplify complex concepts and communicate them effectively.
  • A hands-on approach and willingness to dive into the details to solve problems and drive results.
  • A strong customer-centric mindset, with a proven track record of navigating complex product challenges and driving solutions that improve customer satisfaction.
  • A BA/BS in Computer Science or a related field.
  • Strong technical understanding, with the ability to navigate from high-level system architecture and abstractions down to underlying
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