BlueThrone

Recruitment

• Own the outbound pipeline for candidate sourcing
• Manage the entire journey for various roles
• Partner with hiring managers to define candidate profiles
• Ensure a positive candidate experience throughout recruitment
• Maintain organized and actionable recruitment data

Talent Acquisition Manager

Product Analyst

• Plan, design, and execute data-driven experiments to increase in-app monetization.
• Focus on optimizing pricing, paywalls, offers, onboarding, and user journeys.
• Define clear hypotheses, metrics, and success criteria for every test.
• Use Bluethrone’s stack to run experiments and visually present results that clearly communicate impact.
• Translate findings into actionable product decisions and guide implementation of successful tests.
• Monitor and interpret key monetization metrics.
• Transform raw data into clear, visual insights and recommendations.
• Maintain consistent reporting and visibility into experiments and outcomes.
• Continuously identify new opportunities to improve monetization through structured experimentation.
• Work closely with fellow Monetization ICs to share learnings and align strategy.
• Partner with Developers, Product Managers, and Data Teams to ensure the infrastructure needed to run experiments and roll out successful ones.
• Collaborate with the User Growth Team to optimize paid user journeys.
• Contribute to a culture of testing and learning within the monetization team.

Product Analyst – Monetization

QA Engineer

• Owning product quality across mobile and web
• Designing and running test scenarios that reflect real user behavior
• Performing regression, smoke, and exploratory testing
• Validating APIs and integrations to ensure smooth end-to-end flows
• Identifying edge cases, documenting issues clearly, and following them through
• Improving testing practices as the product and team scale
• Collaborating closely across teams - QA here is part of the build process, not an afterthought

Backend Engineer

• Own backend infrastructure and AI workflows that drive monetization impact
• Build internal infrastructure and AI workflows that our Monetization team relies on daily
• Build backend APIs and production-grade agentic AI workflows that help our monetization team move faster, run smarter experiments, and scale winning strategies across our app portfolio
• Build and maintain backend services in Python
• Design scalable APIs (FastAPI or similar frameworks)
• Build and deploy agentic AI workflows in production (not just prototypes)
• Work closely with Monetization stakeholders to translate business needs into scalable systems
• Own backend architecture, delivery, reliability, and iteration speed
• Improve observability, performance, and system robustness over time
• Work with CI/CD pipelines and cloud infrastructure
• Build services running on Docker / Kubernetes / Helm
• Collaborate with engineers working on Go services (or grow into Go over time)

Senior Backend Engineer, Python, AI Workflows

Analytics Engineer

• Own the data models that scale our portfolio and turn messy questions into high-stakes decisions.
• Help define how we measure the business.
• Work closely with product, monetisation, UA, and finance leads.
• Ensure mobile KPIs are accurate, explainable, and trusted.
• Split between building elite data infrastructure and data analysis.
• Design and maintain the dbt project on BigQuery.
• Build and iterate on dashboards that give non-technical teams confidence to make decisions.
• Dig into the data, investigate anomalies, and surface insights.

• Build & Scale Go Services
• Master the Data
• Event-Driven Pipelines
• AI-First Workflow
• Think Product-First
• Improve Observability
• Collaborate
• Evolution

Middle Backend Engineer, Go

Product Manager

• Own the product experience of the app end-to-end
• Drive discovery-heavy product work including identifying problems and exploring solutions
• Use data to inform product decisions
• Communicate effectively with cross-functional teams and stakeholders