BlueThrone

• Own the employee IT lifecycle. • Administer the core stack. • Run 2nd-level support. • Manage DNS and domain registrars. • Build monitoring and alerting for internal IT systems. • Document properly. • Collaborate across teams.

• Own the employee IT lifecycle. • Administer the core stack (Google Workspace, GCP). • Run 2nd-level support. • Manage DNS and domain registrars. • Build monitoring and alerting for internal IT systems. • Document properly. • Collaborate across teams.

• Own the infrastructure that turns raw events from millions of mobile users into trustworthy data the business runs on. • Design and scale the pipelines, warehouses, and tooling. • Work side-by-side with analytics, product, and growth teams. • Design, build, and maintain scalable data architecture. • Own ingestion, transformation, storage, and modelling. • Write clean, efficient Python to power reliable pipelines. • Lead our dbt project on BigQuery. • Partner with analytics to ship Metabase dashboards. • Set the bar for what 'trustworthy data' means here.

• Build the source of truth • Design the analytics system • Stay hands-on • Partner across the business • Lead the BI team • Scale across apps • Own data quality end-to-end

• As our BI Engineer, you’ll be the bridge between raw data and high-stakes decisions. • You won't just be "building dashboards"; you’ll be defining how we measure the entire business. • You will work closely with our CEO, CTO, and growth leads to turn fuzzy business questions into clear models and reliable metrics. • Sit with product and finance leads to translate ambiguous questions into precise analytical requirements. • Design and maintain our dbt project on BigQuery - building dimensional models and macros that stay clean as we scale. • Build intuitive Metabase dashboards that give teams the confidence to make decisions without needing to ping you for every query. • Go beyond the pipeline. Dig into the numbers, investigate anomalies, and surface insights that we didn't even know to ask for. • Become the go-to for core mobile KPIs (DAU/MAU, LTV, ROAS) and ensure the logic behind them is rock solid. • Identify gaps in our data stack and propose practical, AI-first solutions to move 10x faster.

• 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

• Build and own the web app for our monetization and experiments platform. • Refine and implement complex experiment configuration interfaces (parameter configs, audience segmentation, etc.). • Build analytics dashboards and data visualizations that turn raw numbers into actionable insights. • Build platform admin tooling to streamline operations. • Work closely with Monetization and Business teams to translate requirements and prototypes into intuitive, high-performance UI. • Shape API contracts together with backend engineers to ensure seamless data flow. • Own frontend architecture and component design, ensuring a scalable and maintainable codebase.

• 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)

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

• 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