The Role
Own the monetization strategy and roadmap for an AI-powered B2C mobile app. Optimize pricing, paywalls, trials, subscriptions, offers, conversion, ARPU, and LTV through data analysis and A/B testing. Identify revenue opportunities, analyze user behavior and cohorts, and collaborate with Growth, Marketing, Design, Engineering, and Data teams to build a continuous monetization experimentation engine.
Summary Generated by Built In
We’re building the future of AI-powered communication.
Lucida AI is a fast-growing startup helping millions of people speak English fluently through ultra-realistic AI conversations. In just a short time, we’ve reached millions of users globally and raised $8M from top-tier VCs.
Now, we’re looking for a Product Manager (Monetization) whose primary mission is simple: increase user LTV and maximize revenue from every user.
What you’ll do- Own Lucida AI’s monetization strategy and roadmap
- Make increasing LTV the core product objective
- Design and optimize pricing, paywalls, trials, subscription plans, and offers
- Identify opportunities to increase conversion, ARPU, and LTV
- Design, launch, and analyze A/B tests across the entire monetization funnel
- Continuously experiment with pricing, packaging, discounts, upsells, and subscription mechanics
- Analyze user behavior, cohorts, and revenue data to understand what drives LTV
- Optimize the user journey to maximize revenue per acquired user
- Work closely with Growth, Marketing, Design, Engineering, and Data to turn insights into experiments
- Build a systematic monetization experimentation engine and continuously iterate based on results
- Find new monetization opportunities across the product and prioritize them based on expected LTV and revenue impact
Requirements
- 2+ years of experience in product management
- Strong experience with B2C mobile apps, ideally subscription products
- Deep understanding of LTV, ARPU, conversion, pricing, and subscription monetization
- Hands-on experience with paywalls, trials, pricing experiments, and subscription flows
- Proven experience designing and analyzing A/B tests
- Strong analytical mindset and ability to make product decisions based on data and experiments
- Experience with tools such as RevenueCat, Amplitude, Mixpanel, Firebase, or similar is a plus
- Strong understanding of consumer psychology and purchase behavior
- Highly experimental, analytical, and results-oriented
- Fast execution and strong ownership
- Comfortable working in a high-growth startup environment
Benefits
- Why Lucida AI
- Backed by top-tier investors — $8M raised and millions of users globally
- Small, high-performing team with high ownership and fast decision-making
- Build a category-defining AI product with real impact on how people learn to communicate
- Move fast and experiment freely — no unnecessary bureaucracy, just ownership and execution
- What we offer
- Competitive net salary + meal allowance
- Private health insurance with premium coverage
- Learning & growth budget for courses and training
- Flexibility by default — we trust you to decide how you work and what you need to do your best work
Skills Required
- 2+ years of experience in product management
- Strong experience with B2C mobile apps, ideally subscription products
- Deep understanding of LTV, ARPU, conversion, pricing, and subscription monetization
- Hands-on experience with paywalls, trials, pricing experiments, and subscription flows
- Proven experience designing and analyzing A/B tests
- Strong analytical mindset and ability to make product decisions based on data and experiments
- Experience with RevenueCat, Amplitude, Mixpanel, Firebase, or similar tools
- Strong understanding of consumer psychology and purchase behavior
- Highly experimental, analytical, and results-oriented
- Fast execution and strong ownership
- Comfort working in a high-growth startup environment
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The Company
What We Do
Lucida AI is an AI-powered language learning platform and speaking coach that helps professionals and business teams enhance their English communication skills through real-time conversational practice, speech processing, and voice-based learning.
