Jobs at Big Viking Games

Lead a greenfield People function: build HR foundations, performance systems, compensation bands, HRIS workflows, talent acquisition, manager enablement, employee relations, compliance, and people analytics. Partner with leadership to scale policies, org design, and automation while coaching managers and improving consistency, fairness, and retention.

Lead and own VIP player relationships and program across live-service titles. Manage high-value players, improve support workflows, mentor teams, analyze player data, report insights, and drive retention initiatives while partnering cross-functionally and implementing practical AI and automation for service quality.

Lead and build a hands-on data science and analytics function for a live-service gaming company. Own analysis (SQL, Python/R), dashboards, KPIs, experimentation, data quality, pipelines, and executive reporting. Partner across product, ops, marketing, finance and engineering. Implement AI-driven analytics, automation, and copilots, then hire and scale a high-performing team while establishing governance and responsible AI practices.

Lead architecture and implementation of agentic platforms and AI-enabled content pipelines for live-service games. Build orchestration, workflows, evals, observability, review/approval surfaces, integrations, and reliability controls so autonomous agents produce production-grade, reviewable content and engineering output.

Design, maintain, and modernize cloud infrastructure and automation for live-service games. Improve CI/CD, IaC, observability, secrets management, data pipeline reliability, and incident response while balancing uptime with modernization. Support AI-enabled tooling, cost management, and create runbooks and SOPs for production ownership.

Perform hands-on analytics for live-service games: analyze player behavior, retention, monetization, and economy health; build and maintain dashboards; write complex SQL workflows; partner across product, live ops, finance, and engineering; run experiments and modeling; define KPIs and improve data quality; present insights and recommendations to stakeholders.

Lead the product strategy and roadmap for FishWorld, driving growth, retention, monetization, experimentation, and multi-platform evolution. Partner with cross-functional teams to analyze player behavior, run A/B tests, modernize live operations, apply AI/automation, and build repeatable product processes to deliver measurable outcomes.