Big Viking Games

Artificial Intelligence

• Own and improve internal operating processes across the company.
• Help create structure, visibility, and accountability around cross-functional work.
• Support leadership with operational reporting, meeting follow-ups, task tracking, and execution rhythms.
• Build and maintain SOPs, runbooks, workflows, and internal knowledge bases.
• Identify operational bottlenecks and create practical solutions that improve speed, clarity, and consistency.
• Coordinate cross-functional initiatives across leadership, product, engineering, HR, finance, support, and live operations.
• Support department managers and work with SLT across the company in planning, internal communications, leadership meeting preparation, and follow-through on key decisions.
• Help ensure important commitments, deadlines, and action items do not get dropped.
• Administer and improve key business systems, including CRMs, HRIS, CSM, JIRA, AI automations, project management, support, collaboration, documentation, and reporting tools.
• Support software/tech stack hygiene, process design, fields, workflows, dashboards, pipeline visibility, and user adoption.
• Help teams use tools properly so reporting is accurate and workflows are reliable.
• Manage user access, permissions, licenses, configuration, and tool usage across systems such as Google Workspace, Slack, Jira, Zendesk, CRM platforms, Notion, Airtable, Asana, or similar tools.
• Identify underused, redundant, or poorly configured tools and recommend improvements.
• Partner with teams to improve how work flows through systems, from intake to execution to reporting.
• Create lightweight dashboards, reports, and operational views that help leaders understand what is happening across the business.
• Improve data quality, process compliance, and system reliability across internal tools.
• Use AI tools such as ChatGPT, Claude, Gemini, or similar platforms to improve daily operations, documentation, reporting, research, and internal workflows.
• Identify opportunities to automate repetitive work across operations, HR, recruiting, finance, support, product, and leadership workflows.
• Build or coordinate lightweight automations using tools such as Zapier, Make, Google Apps Script, Airtable, Notion, or similar platforms.
• Create AI-assisted workflows for meeting summaries, action tracking, SOP creation, ticket triage, CRM updates, reporting, and internal communications.
• Help teams adopt practical AI workflows that improve productivity without creating unnecessary complexity.
• Maintain clear documentation for automated workflows, system processes, and recurring operating tasks.
• Continuously look for ways to reduce manual work, improve speed, and increase operational leverage.
• Manage relationships with external vendors, service providers, and software partners.
• Track renewals, contracts, costs, licenses, seat allocation, and vendor performance.
• Optimize software spend by identifying unused seats, duplicate tools, or inefficient subscriptions.
• Coordinate vendor transitions, onboarding, offboarding, procurement, and service reviews.
• Support leadership with vendor comparisons, cost analysis, and recommendations.
• Ensure business tools are being used effectively and that the company is getting value from its software stack.
• Support employee onboarding and offboarding across systems, tools, equipment, access, and documentation.
• Coordinate access setup, permission changes, license assignment, and account removal.
• Maintain hardware and device inventory, procurement records, and equipment lifecycle processes.
• Provide first-level internal support for common business systems, software access, account issues, and workflow questions.
• Coordinate light IT needs such as device setup, basic troubleshooting, office connectivity, and vendor escalation.
• Partner with external specialists when deeper technical support is required.
• Help keep the Toronto office operational, organized, and ready for employees, candidates, vendors, and visitors.

Head/Senior Manager, Operations, Strategy & AI

Full-stack Engineer

• Write robust, efficient, and maintainable code across our stack — TypeScript, HTML5, Javascript, and PHP.
• Build and maintain tools and client features in JavaScript/TypeScript.
• Work with network code — sockets and REST APIs — and asynchronous, real-time systems.
• Review code and give constructive feedback to other developers.
• Use performance profilers (memory analyzers, CPU profilers, network sniffers) to diagnose and improve existing code.
• Investigate and resolve difficult bugs in production.
• Work within our CI/CD workflow (GitHub Actions, Docker) following modern best practices.

Software Engineer

• Design, implement, test, and maintain clean, efficient, reusable code for gameplay features, tools, systems, and live-service functionality.
• Build and improve tools that help designers, artists, product managers, and live operations teams work more efficiently.
• Integrate tools and systems into existing content creation pipelines and production workflows.
• Work across gameplay systems, UI systems, live operations systems, backend integrations, and internal development tools.
• Debug and resolve complex issues in production and development environments.
• Analyze and optimize performance, runtime behavior, memory usage, network behavior, and system reliability.
• Work with networked and online systems, including APIs, real-time systems, client-server interactions, and multiplayer or social game features.
• Collaborate with engineers, designers, artists, QA, product managers, and live operations stakeholders to ship improvements quickly and responsibly.
• Participate in code reviews and help uphold engineering quality, consistency, and maintainability.
• Maintain clear and useful documentation for code, systems, tools, and project-related materials.
• Support modernization efforts across large, long-lived codebases while maintaining production stability.
• Communicate progress, risks, tradeoffs, and technical recommendations clearly to technical and non-technical stakeholders.
• Use AI coding assistants and automation tools where appropriate to improve productivity, accelerate debugging, and reduce repetitive work.
• Mentor and support other developers through technical guidance, code reviews, and knowledge sharing.

Senior Software Engineer, Games

Data Scientist

• Build and own the company’s data science and analytics function from the ground up.
• Partner with executive leadership, product, live operations, marketing, finance, and technology teams to turn business questions into clear insights, recommendations, and action plans.
• Develop the core analytics roadmap across player behavior, retention, engagement, monetization, game health, content performance, live operations, user segmentation, forecasting, and business performance.
• Personally perform hands-on analysis, including SQL querying, dashboarding, data modeling, KPI development, reporting, statistical analysis, and business case development.
• Improve the quality, consistency, and reliability of company metrics, reporting, and data definitions.
• Identify gaps in data collection, instrumentation, data architecture, reporting, and operational visibility.
• Partner with engineering and data stakeholders to improve data pipelines, data quality, data governance, and access to trusted datasets.
• Design dashboards and executive reporting that help leaders understand what is happening, why it is happening, and what should be done next.
• Lead analysis on player lifecycle, cohort behavior, monetization trends, feature performance, content performance, game economy, and live-service operations.
• Support experimentation, A/B testing, measurement frameworks, and decision-ready analysis for product and business initiatives.
• Implement practical AI-driven solutions to accelerate analytics workflows, automate repetitive reporting, improve insight generation, and support better business decisions.
• Explore and deploy AI agents, copilots, workflow automations, and other tools that improve productivity across analytics, operations, product, and leadership reporting.
• Establish best practices for responsible AI use, data privacy, analytical rigor, documentation, and repeatable workflows.
• Over time, hire, coach, and lead a high-performing data science, analytics, and/or BI team.

Head of Data Science, Analytics

• Design, build, test, and maintain full stack applications that support AI-enabled game production workflows.
• Own features end to end, including data modeling, backend logic, API design, frontend implementation, deployment, and ongoing improvement.
• Build structured generation workflows that produce reliable, reviewable outputs from AI models.
• Create human-in-the-loop review systems so teams can steer, approve, reject, edit, and improve generated content.
• Translate ambiguous creative or operational goals into clear specifications, scoped plans, and production-ready systems.
• Build internal tools that improve speed, consistency, visibility, and quality across content production workflows.
• Partner with engineering, product, design, art, live operations, and leadership to understand workflow pain points and build practical solutions.
• Implement approval steps, audit trails, retries, staged processing, idempotency, and other patterns required for reliable production systems.
• Use AI coding agents and assistants as part of your daily workflow, while maintaining strong engineering judgment and code quality.
• Review generated code, model outputs, workflow logic, and product behavior with a high bar for accuracy and usability.
• Improve system reliability, observability, documentation, maintainability, and developer experience.
• Contribute to a practical AI-first engineering culture focused on speed, quality, and measurable business impact.

Senior Full Stack Engineer, AI

Affiliate Manager

• Serve as a key coordination partner for the CEO and Executive Team.
• Track decisions, follow-ups, commitments, and action items from executive discussions.
• Ensure CEO-driven priorities do not stall between functions.
• Help create structure, visibility, and accountability around executive priorities.
• Prepare concise briefing notes, summaries, meeting materials, and follow-up documents.
• Handle confidential information with judgment, discretion, and professionalism.
• Own and manage the CEO’s calendar with discipline and attention to priorities.
• Schedule internal and external meetings, interviews, leadership sessions, and stakeholder discussions.
• Protect focus time and reduce reactive scheduling.
• Ensure meetings have clear context, materials, objectives, and outcomes.
• Anticipate conflicts, bottlenecks, and missing information before they become problems.
• Help the CEO enter meetings context-complete and prepared.
• Partner with the CEO, People team, and hiring leaders on active recruiting efforts.
• Coordinate candidate interviews, scheduling, communications, and follow-ups.
• Prepare interview briefs, candidate summaries, scorecards, and meeting context.
• Track CEO feedback and ensure it is routed back to the appropriate hiring stakeholders.
• Help keep recruiting loops moving quickly, cleanly, and professionally.
• Maintain organized candidate documentation and hiring-related follow-ups.
• Support travel planning, logistics, reservations, expenses, vendor coordination, and office services.
• Assist with select personal logistics or concierge-style tasks where appropriate to free up CEO bandwidth.
• Help keep the Toronto office organized, guest-ready, and operationally smooth.
• Welcome visitors, coordinate internal events, and support team meetings or socials.
• Liaise with building management, vendors, and service providers as needed.
• Maintain supplies, equipment coordination, and office-related follow-ups.
• Support internal and external brand initiatives where needed.
• Help maintain content calendars, draft basic social or employer-brand content, and coordinate publishing.
• Assist with light media workflows, including uploading assets, organizing files, formatting content, and coordinating edits.
• Collaborate with design or marketing partners to keep materials consistent and on brand.
• Use AI-powered research and drafting tools to support content development, summaries, and special projects.
• Track simple engagement metrics or weekly highlights where helpful.
• Build and maintain lightweight SOPs for recurring executive, recruiting, office, and administrative workflows.
• Use AI tools such as ChatGPT, Claude, Gemini, or similar platforms to improve speed, organization, and quality.
• Automate or simplify repetitive coordination wherever practical.
• Create structured task lists, follow-up systems, documentation, and briefing formats.
• Continuously look for ways to reduce manual work and improve execution speed.
• Help create repeatable systems that make the CEO and Executive Team more effective.

Head/Senior Manager, Operations, Strategy & AI

Software Engineer

Senior Software Engineer, Games

Head of Data Science, Analytics

Senior Full Stack Engineer, AI

Executive Business Partner