Product Owner
Own the growth of two sheet-music platforms (SMP retail site and SMD mobile app) by driving monetization, metrics, and AI-native delivery to serve millions of musicians.
- Compensation
- Not disclosed
- Location
- Cyprus or Remote
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Product
- Posted
Skills
Must have
- 3+ years as Product Owner/Product Manager on B2C digital product with subscription/transactional revenue model
- Proven monetization experience: pricing, paywall, conversion, subscription funnel with quantifiable revenue impact
- Strong analytical foundation and ownership of product metric layer (definitions, data quality, dashboards)
- Experience owning end-to-end discovery: framing hypotheses, choosing research methods, converting findings into roadmap decisions
- Ability to increase delivery speed in an existing team using AI tools
- Proactive decision-making with incomplete data
- Fluent English, written and spoken
Nice to have
- Experience working under revenue pressure
- Strong problem-solving and communication skills
Full description
We're looking for a senior, experienced Product Owner to lead growth phase and take products to the next level to become one of our main revenue engines.
Product Owner will lead:
- Sheet Music Plus - a direct-to-consumer retail site that offers sheet music to musicians in every genre, at every level from beginner to pro.
- Sheet Music Direct - a professional mobile app offering access to over 2.2 million licensed sheet music titles from Hal Leonard and partner publishers.
What is in it for you?Own a product used by millions - Shape the future of the applications used by performers, educators, and serious hobbyists looking for a distraction-free, professional sheet music experience.
Radical ownership and impact - Full end-to-end ownership of strategy, roadmap, and delivery.
Experimenation engine - Design the experimentation engine, uncover new revenue streams and subscriptions.
We are actively integrating AI automation into relevant areas of the business and expect candidates with mindset focused on improving efficiency and deliver a better user experience.
Key responsibilities
Monetization & revenue
- Own the monetization roadmap; accelerate the pace of monetization initiatives (release-to-release, not quarter-to-quarter)
- Drive feature implementation speed— reduce time from decision to release
- Build and maintain a close working connection with the monetization team: shared backlog visibility, joint prioritization, aligned experiment pipeline
Metrics & plan/fact
- Own the product metric layer: definitions, data quality, dashboards
- Resolve outstanding metric issues (gaps, broken tracking, conflicting sources)
- Run regular plan-vs-fact reviews; explain deviations with a clear causal narrative, not descriptive reporting
Product bets & discovery
- Identify and validate big product bets— hypotheses with a quantified business upside, not feature ideas
- Establish a working discovery process in both products: hypothesis → research → decision, each discovery framed with an expected business outcome
- Run a monthly backlog refresh cycle: re-prioritize against business goals and current team capacity
AI in the team process
- Introduce AI-native ways of working into the team workflow: design-system-driven development, templates, agents, design agents
- Make AI usage a default part of the delivery process (specs, design, frontend, research), not an individual experiment
Delivery ownership
- Own backlog, prioritization, and release scope