Product Manager Lead
Posted 28 days ago · 0 applicants
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The role in plain words
- 7+ years of experience as Product Manager or Technical Product Manager at world-class SaaS companies
- 2+ years of experience leading product management teams
- BA/BS in Computer Science or related field
- Strong technical understanding from high-level architecture down to system-level considerations
- Proven ability to leverage and implement AI tools in product leadership, including building AI-enabled workflows and driving adoption of AI across product processes at scale
- Product experience in building and launching highly scalable and reliable services
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referencePapaya 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.
You will:
• Maximize clarity by bringing a data-driven mindset to setting goals and milestones.
• Conceptualize and analyze different parts of our infrastructure and how they interrelate.
• Inspire the company by creating bold, game-changing ideas and delivering them across a set of customer problems.
• Elicit non-obvious customer needs, synthesize research to gain a deep understanding and narrow definition of a problem.
• Co-create with teammates to deliver high-quality results. Speak and write with clarity and comfort in deep technical discussions with engineers about the pros and cons of different approaches.
• Lead and mentor a team of product managers, driving alignment, execution quality, and professional growth across the product organization.
• Leverage AI-driven tools and methodologies to improve product planning, prioritization, data analysis, and decision-making across multiple product domains.
• Use AI capabilities to enhance synthesis of customer insights, market research, and technical complexity into clear product direction and strategy.
• Drive adoption of AI-assisted workflows within the product organization to improve efficiency, experimentation velocity, and product quality.
Requirements:
• 7+ years of experience as Product Manager or Technical Product Manager at world-class SaaS companies with significant growth and best-in-class product standards.
• 2+ years of experience leading product management teams.
• Product experience in building and launching highly scalable and reliable services is a plus.
• High bar across all dimensions—from personal contributions to team performance to product quality.
• Strong bias toward action, collaboration, and clear communication with a focus on simplification of complex topics.
• Hands-on, execution-oriented mindset with willingness to deep dive into technical and product challenges.
• Customer-centric mindset with proven ability to solve complex product problems and drive customer satisfaction.
• BA/BS in Computer Science or related field.
• Strong technical understanding from high-level architecture down to system-level considerations.
• Proven ability to leverage and implement AI tools in product leadership, including building AI-enabled workflows for strategy, prioritization, data-driven decision-making, and cross-functional execution, as well as driving adoption of AI across product processes at scale.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 7+ years of experience as Product Manager or Technical Product Manager at world-class SaaS companies, 2+ years of experience leading product management teams, BA/BS in Computer Science or related field, Strong technical understanding from high-level architecture down to system-level considerations, Proven ability to leverage and implement AI tools in product leadership, including building AI-enabled workflows and driving adoption of AI across product processes at scale