Madbox

Operations

• Plan, execute, and monitor LiveOps initiatives, including in-game events, content updates, and promotions, to drive player engagement and business performance
• Manage live event setup, scheduling, launch, and performance tracking to ensure smooth deployment and effective use of team-created content
• Support game economy and monetization improvements by identifying opportunities across ads, purchases, rewards, and content value
• Collaborate with game design, marketing, and data teams to test, optimize, and iterate on event designs, balancing player experience with business goals
• Analyze game KPIs, A/B tests, and player segments to measure LiveOps impact and refine strategies
• Improve LiveOps tools, workflows, and processes to strengthen operational efficiency
• Contribute ideas on progression, rewards, player experience, and future LiveOps opportunities

Live Ops Manager

Backend Engineer

• Design, build, and scale public-facing APIs in Go, hosted on GCP, serving millions of users with high availability and low latency.
• Ensure backend reliability through comprehensive testing strategies and safe, rollout processes for API releases.
• Monitor, troubleshoot, and optimize backend systems using Datadog, ensuring proactive reliability for player-facing services.
• Collaborate with game teams, data engineers, and product managers to align technical solutions with business goals.
• Contribute to and improve CI/CD pipelines — including GitHub Actions workflows with Terraform, and supporting Jenkins-based game pipelines alongside the dedicated owner.
• Support the development and maintenance of internal tools and services in TypeScript/Node.js, hosted on AWS.

Senior Back End Developer

Analytics Engineer

• Take ownership of end-to-end data projects, from problem definition to deployment and monitoring
• Analyze player behavior to understand game performance, progression, monetization, and engagement drivers
• Define KPIs in collaboration with business stakeholders and ensure their robust and consistent implementation in data models
• Design and optimize data models and datasets tailored to analytical and business needs
• Ensure data quality and consistency, validating assumptions and identifying data issues
• Leverage and adapt AI tools and approaches to enhance data workflows and impact
• Demonstrate autonomy and decision-making, driving projects forward in ambiguous environments
• Contribute to the data roadmap, identifying high-impact opportunities for data science and analytics

Full-stack Engineer

• Lead the design and implementation of AI-powered systems across the company
• Build and maintain internal AI platforms, assistants, and automation tools
• Integrate LLMs and AI capabilities into internal workflows and products
• Collaborate with Engineering, Data, Product, and Operations teams to identify high-impact AI opportunities
• Drive AI adoption and best practices across teams
• Develop scalable AI architectures, APIs, and orchestration systems
• Improve developer productivity through AI-assisted workflows and tooling
• Define governance, reliability, and security standards for AI systems
• Own AI platform cost management, usage monitoring, and pricing strategy to ensure scalable and sustainable adoption
• Stay up to date with the AI ecosystem and continuously evaluate new tools, models, and approaches

Live Ops Manager

Senior Back End Developer

Analytics Engineer

AI Software Engineer