OBJECTIVES
Two of Amanotes' most critical bets for the next three years sit inside the CEO Office: Personalization and AI Core.
β’ Personalization is about making every player's experience feel like it was built for them - adapting difficulty, song recommendations, and monetization to each individual user. This means Product Design, Data Engineering, and Data Science need to ship as one team, not three.
β’ AI Core is the foundation underneath everything: clean operational, user, and financial data that the whole company can actually trust and use to build agents.
This role exists because both projects are too important to run without someone whose full-time job is making them move.
OUTCOMES
Personalization
β’
Ship the Personalization feature pipeline on schedule by having Product Design, Data Engineering, and Data Science working off a single, agreed-upon roadmap, with no critical dependency left unresolved
β’
Measurable uplift in user engagement (time spent, session length) and LTV in tested games
β’
Reduce cross-team friction on Personalization to the point where the three disciplines can run a joint sprint without needing you in every room
AI Core
β’
Establish a data quality standard for AI Core within the first 90 days: operational, user, and financial data are collected, clean, and auditable
β’
Create an environment that helps everyone in Amanotes to build agents and applications based on the data
WHAT YOU WILL DO
At Amanotes, we work based on outcomes. The responsibilities below help clarify what this role covers day-to-day, but they're a guide, not a cage.
Personalization
β’
Own the Personalization project plan end-to-end: timelines, milestones, dependencies, and the people accountable for each
β’
Run the integration layer between Product Design, Data Engineering, and Data Science, surfacing conflicts early and keeping all three aligned on shared priorities
β’
Develop a working understanding of the ML models powering personalization (dynamic difficulty adjustment, song recommendation, monetization optimization); understand how they are trained, what data they consume, and what their output means for the player experience
β’
Drive the tuning and optimization cycle for personalization models: coordinate experiment design (A/B tests, bandit policies), track model performance metrics, surface insights from experiment results, and ensure learnings feed back into the next iteration of model parameters and feature engineering
β’
Work with data scientists and vendor partnerships to translate model outputs into actionable product decision, bridging the gap between "the model says X" and "the product should do Y"
AI Core
β’
Drive AI Core's data readiness agenda: work with data teams to define, track, and close gaps in data collection and data quality across all three data domains (operational, user, financial)
β’
Continuously monitor the data usage to identify issues and take corrective actions.
Shared
β’
Prepare and present clear project status updates to CEO Office leadership - what's on track, what's at risk, and what needs a decision
β’
Design and facilitate the collaboration structures (standups, reviews, retrospectives) that actually make cross-functional teams move faster
β’
Document decisions and rationale so the institutional knowledge lives in the system, not in anyone's head
QUALIFICATIONS
Must Have
β’
Run a complex cross-functional project end-to-end, involving at least two technical disciplines that don't naturally speak the same language
β’
Enough data fluency to hold a credible conversation with data engineers about pipeline design and with data scientists about model readiness, training loops, and experiment interpretation
β’
Enough product design fluency to hold a credible conversation with game designers and product owners about player experience trade-offs
β’
Have worked on personalization, recommendation, or ML-powered product initiatives β you understand what it takes to move a model from prototype to production and how to measure whether it's actually working
β’
A track record of building project visibility that leadership relies on, not because they're forced to, but because it's genuinely useful
β’
Experience in agile methodologies and in a tech product company, where priorities shift and ambiguity is the default
β’
Minimum 5 years of experience in project management, program management, or technical product management
Nice to Have
β’
Experience with A/B testing frameworks, contextual bandits, or reinforcement learning in a product context
β’
Familiarity with mobile gaming, music-tech, or entertainment products
β’
Experience managing vendor/partner relationships for ML or data platform services
BENEFITS
At Amanotes, you will be enjoying the dynamic working environment with unique music culture many benefits as below:
β’ Competitive salary upon experience
β’ 13th month salary
β’ Flexible working time.
β’ Personal learning and well-being budget
β’ Team-building budget
β’ Lunch and parking allowance
β’ Various learning activities, including internal training & sharing, international conferences, and e-learning (Udemy, Linkedin Learning...).
β’ Engaging music events: Music Night, Amasing Night, Music schoolsβ¦
β’ Employee Assistance Program to support mental health & well-being.
β’ Minimum 12 days of paid annual leave, plus 10 days of paid sick leave.
β’ 12 days working from home per year.
Consent Notice for Personal Data Processing
- By applying to any position at Amanotes, you acknowledge and agree that your personal data will be collected and processed for recruitment-related purposes. Please read the βConsent Notice for Personal Data Processingβ carefully before submitting your application.
- Thank you for your interest in joining Amanotes.
About Amanotes
We are Amanotes β a dynamic music game company thatβs using cutting-edge technology to transform how people experience music.
Since 2014, weβve led the global simple music game market with over 3.5 billion downloads across 190+ countries, including chart-topping titles like Magic Tiles 3, Tiles Hop, Dancing Road, and Duet Cats.
As the #1 Music Game Publisher worldwide and the #1 App Publisher from Southeast Asia by downloads, our ambition is clear: to create iconic, hybrid-casual music games that people love and play for years.
What truly sets Amanotes apart is not just what we build β itβs how we grow and who we grow with:
π We invest in your growth through learning budgets, coaching, and stretch opportunities.
πΆ We embrace a creative and dynamic culture, where everyone can play, share, and thrive.
π§ We believe in work-life harmony β your rhythm matters here.
π We recognize and reward impact, with competitive benefits and clear development paths.
Come join our music-filled workplace, where innovation meets rhythm β and letβs create a magical music experience together.
Amanotes β Where Everyone Can Music.
How To Apply?
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