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Mode is a fast-growing technology company building mobile apps and digital products reaching 100M+ monthly active users globally. Recognized by Deloitte as the #1 fastest-growing software company in North America (2023 Technology Fast 500), Mode is expanding its AI and data business and building direct relationships with companies leveraging its data and capabilities.
You will serve as the analytical partner to Mode's Monetization team, owning how the company measures and grows revenue across its portfolio of mobile apps and web properties. This spans subscriptions, in-app purchases, advertising, and partner offers. You'll translate complex monetization data into clear recommendations on pricing, packaging, and revenue mix.
Key responsibilities include:
- Design, build, and maintain datasets and data pipelines enabling self-service analytics and data-driven decision-making across the organization
- Improve data quality, accuracy, reliability, and documentation
- Own revenue and monetization metrics including ARPU/ARPDAU, LTV, trial-to-paid conversion, renewal and churn rates, refunds, and revenue mix by source
- Design and analyze pricing, packaging, and paywall experiments (price points, trial length, plan structure, paywall placement) with statistical rigor
- Build subscription cohort and LTV models informing pricing decisions and UA bidding
- Analyze ad monetization performance (eCPM, fill rate, impressions per user, mediation/bidding setup) while balancing ad revenue against retention and user experience
- Measure partner offer and rewards economics to keep models profitable
- Reconcile revenue data across app stores, subscription platforms, ad networks, and internal systems
- Partner with Monetization, Product, and GMs on revenue forecasting, opportunity sizing, and roadmap prioritization
- Communicate analytical findings through clear, compelling narratives driving alignment and business impact
Mode values innovation, collaboration, and curiosity with a passion for execution. The company operates as a 100% remote-first, global organization with OKRs guiding strategy, open communication, and a culture emphasizing accountability, action-driven work, caring, curiosity, and thoroughness.
QUALIFICATIONS:
- 4+ years in analytics, with preferred background in monetization, pricing, or revenue analytics for consumer subscription apps and games
- Solid SQL and Python programming skills with experience working with large-scale production data
- Experience with LTV modeling and revenue forecasting on subscription and ad-monetized apps/games
- Track record of designing and interpreting pricing or paywall A/B tests, including understanding of novelty effects, long conversion windows, and LTV vs. short-term conversion tradeoffs
- Familiarity with app store subscription mechanics (App Store/Google Play billing, trials, grace periods, renewals, refunds) and subscription platforms (e.g., RevenueCat, Superwall, Adapty)
- Analytical excellence to dissect complex, ambiguous problems and uncover actionable insights
- Business acumen to translate data and analysis into business impact
- Exceptional written and verbal communication skills for cross-functional collaboration
- Nice to have: ad mediation experience (AppLovin MAX, ironSource/Unity LevelPlay, AdMob), web checkout or web-to-app payments, rewards or loyalty program economics, Big Data tools (Redshift/Spark/Airflow), dashboarding tools (Looker, Tableau), experiment design, predictive modeling, log analysis, AI, or startup experience
