The Playa

The Playa

Joined in 2025
10% answers

We help iGaming platforms boost engagement, revenue, and ROMI by up to 25% by understanding and profiling player behavior, detecting positive and suspicious activities, and delivering tailored recommendations to each player. The Playa is trusted by a wide range of iGaming operators, including enterprise clients with $5M+ monthly GGR. Our Solutions: ● Lobby Personalization: Ensure maximized relevancy and interest with daily game recommendations — deeply personalized for every player ● Newbies Boost: Activate and retain new players during their first critical month ● Active Players Boost: Unlock the hidden value in your active player base by personalized proactive retention strategies Easy to integrate, secure by design, and tailored to your business goals - visit our website to learn more about our solutions and book a demo. Unlock true partnership with The Playa ✨

  • · 80 views · 10 applications · 20d

    Content Manager

    Full Remote · Worldwide · 1 year of experience · Pre-Intermediate
    About the Role: We’re looking for a Content Manager to help build and manage our internal catalogue of casino games. Your main job will be to review new game releases, assign the right tags and features (like game type, theme, or bonus mechanics), and...

    About the Role:

    We’re looking for a Content Manager to help build and manage our internal catalogue of casino games. Your main job will be to review new game releases, assign the right tags and features (like game type, theme, or bonus mechanics), and keep the catalogue accurate and well-organized.

    This catalogue plays a key role in our ML products, so your work will directly impact user experience. It’s a great role for someone who knows casino games and enjoys working with structured content and data.

     

    Key Responsibilities:

    • Review and analyze new casino game releases (e.g., slots, table games, live dealer games).
    • Identify and assign gameplay-related attributes such as theme, mechanics, volatility, bonuses, features, and RTP.
    • Help evolve our taxonomy of game attributes to improve personalization, search, and discovery.
    • Propose new feature tags based on game trends and player behavior insights.
    • Ensure all game entries are complete, accurate, and consistently structured.
    • Regularly audit existing content and refine metadata where needed.
    • Work closely with product, data, and engineering teams to ensure catalogue metadata supports business goals, including machine learning models and recommendation systems.
    • Coordinate with content providers and internal stakeholders to support smooth onboarding of new titles.
    • Stay current with trends in online casino gaming and identify emerging game features or formats to capture in the catalogue.

       

    Requirements:

    • 1+ year of experience in iGaming
    • Good understanding of casino games, their core mechanics, and gameplay features.
    • Experience working with structured content (spreadsheets, CMS, tagging systems, etc.).
    • Good communication and organizational skills.
    • Ability to learn quickly and work independently.
       

    Nice to Have:

    • Familiarity with game recommendation systems or personalization platforms.
    • Basic knowledge of data structures (e.g., JSON, XML) or querying tools.
    • Experience with casino game providers and release cycles.
    More
  • · 199 views · 80 applications · 19d

    Project Manager

    Full Remote · Worldwide · 3 years of experience · Upper-Intermediate
    About the Role We are seeking a highly organized and proactive Project Manager to lead the planning, execution, and delivery of our Machine Learning (ML) product initiatives in the iGaming industry using Scrum methodologies. You will work at the...

    About the Role

    We are seeking a highly organized and proactive Project Manager to lead the planning, execution, and delivery of our Machine Learning (ML) product initiatives in the iGaming industry using Scrum methodologies. You will work at the intersection of technology, data science, and client delivery, ensuring our ML-driven solutions are built, launched, and adopted with measurable value seamlessly to B2B operator partners.

    This role calls for a mix of technical understanding, clear communication, collaborative client engagement, and organized delivery skills to help guide the development and deployment of ML solutions in a B2B environment.

     

    Key Responsibilities

     

    Project Planning & Coordination

    • Define project scope, goals, deliverables, timelines, and resource allocation in alignment with B2B partner needs.
    • Break down ML product requirements into actionable tasks and milestones for internal teams and client deliverables.
    • Manage dependencies between research, model training, testing, integration, and deployment.

       

    Execution & Delivery

    • Oversee end-to-end execution of ML projects from concept to launch.
    • Track velocity, carry-over, and quality metrics; ensure predictable delivery (>80% sprint goal completion).
    • Anticipate and resolve blockers, risks, and scope changes while keeping clients informed.

       

    Client Launch & Engagement

    • Plan and coordinate product launches with B2B clients, ensuring smooth integration into their workflows.
    • Act as the primary point of contact during onboarding, deployment, and post-launch support.
    • Collect and synthesize client feedback to inform product improvements and feature roadmaps.

       

    Qualifications & Skills

    Required:

    • 3+ years of experience as a Project Manager in a tech, software, or B2B product environment.
    • Familiarity with the ML product lifecycle (data preparation, model development, testing, deployment, monitoring).
    • Strong knowledge of Agile project management tools (e.g., Jira, Trello, Asana).
    • Proven experience managing client-facing technology projects.
    • Excellent organizational, multitasking, and problem-solving skills.
    • Strong communication skills, able to bridge technical and business conversations.

    Nice to have:

    • Experience in iGaming or regulated online entertainment sectors.
    •  Knowledge of ML model performance metrics and A/B testing methodologies.
    • Ability to re-engineer delivery processes for productivity gains (e.g., +5% velocity, reduced carry-over). 
    More
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