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Sr. Product Manager - Monetization

Full-time

jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Product Manager - Monetization based in United States.

This is a high-impact, highly autonomous product role focused on maximizing monetization and revenue across a growing portfolio of mobile applications. You’ll own subscription monetization strategy across iOS and Android, from pricing and packaging to paywall experimentation and subscriber lifecycle optimization. You’ll also leverage strong programmatic advertising expertise to balance subscription and ad revenue and improve overall LTV and retention. Working closely with Product, Growth, Data, Analytics, and Engineering teams, you’ll identify opportunities and turn insights into measurable growth. AI-enabled tools will be an important part of your workflow, helping you scale analysis, experimentation, and decision-making. This fully remote role offers significant visibility and the opportunity to directly influence revenue performance across a global consumer technology portfolio.

Accountabilities

  • Own and develop the subscription monetization and pricing strategy across a portfolio of mobile applications on iOS and Android.
  • Design, launch, analyze, and continuously optimize paywall experiments, including pricing, packaging, trial periods, offers, targeting, and conversion strategies.
  • Lead initiatives designed to increase conversion, ARPU, LTV, and subscriber retention through rigorous experimentation and funnel analysis.
  • Manage the subscriber lifecycle, including churn reduction, retention initiatives, re-engagement, and win-back programs.
  • Identify revenue leakage and optimization opportunities through cohort analysis, behavioral data, and performance trends.
  • Manage subscription technology platforms and vendor relationships, including tools such as RevenueCat and Superwall.
  • Apply hands-on programmatic advertising expertise, particularly with AdMob, to optimize advertising revenue and effectively balance subscription and ad monetization.
  • Partner with Product, Engineering, Growth, Data, and Analytics teams to prioritize monetization opportunities and improve subscription infrastructure.
  • Use AI tools to accelerate analysis, reporting, experimentation, and workflow automation, embedding AI into day-to-day monetization operations.
  • Serve as the internal subject-matter expert on subscription monetization, mobile pricing, paywall optimization, and emerging monetization trends.
  • Manage multiple monetization workstreams simultaneously while maintaining strong organization, execution, and attention to detail.

Requirements

  • 3+ years of experience in subscription monetization, pricing strategy, growth, or a closely related product role within a mobile app or subscription-based business.
  • Hands-on experience with subscription pricing and paywall experimentation across both iOS and Android.
  • Practical experience working with subscription monetization platforms such as RevenueCat and/or Superwall.
  • Strong understanding of A/B testing, experimentation frameworks, funnel analysis, cohort analysis, conversion optimization, ARPU, LTV, retention, and churn.
  • Experience with programmatic advertising monetization, particularly AdMob, is highly valuable.
  • An AI-native approach to work, with a demonstrated willingness to use AI tools to improve speed, analysis, experimentation, automation, and decision-making.
  • Strong analytical and quantitative skills, with the ability to use data and experimentation to make well-reasoned product decisions while challenging assumptions when necessary.
  • Exceptional ownership and self-direction, with the ability to take ambiguous problems from identification through execution and measurable results.
  • Highly organized and capable of managing several complex monetization initiatives simultaneously without losing attention to detail.
  • Strong cross-functional collaboration skills and the ability to create alignment with Product, Engineering, Data, Analytics, and Growth stakeholders.
  • Comfortable operating in fast-changing environments where priorities may shift and structure needs to be created proactively.
  • Resourceful, pragmatic, and results-oriented, with a strong bias toward action and measurable business impact.

Benefits

  • 100% remote-first working environment with a global team.
  • Competitive compensation package.
  • Generous perks and benefits.
  • Equity plan participation for eligible full-time team members.
  • Individual bonuses through the company bonus program.
  • Open paid time off, generous company holidays, and wellness days for eligible full-time team members.
  • Weekly “Get Stuff Done” days with no meetings, providing dedicated focus time.
  • Remote social activities, including virtual coffee-buddy programs.
  • Recognition and rewards through Bonusly.
  • A collaborative environment with energetic, passionate, and results-driven colleagues.
  • Opportunities to celebrate personal and professional milestones with the wider team.
  • Significant autonomy and visibility in a role directly connected to revenue growth and product performance.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Vacancy posted 3 days ago
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