• Play and monitor client games, with a focus on live-service titles; • Watch player content, streams, and community discussions; • Research games, market trends, and the broader gaming content ecosystem; • Build data-driven forecasts and assess the growth potential of games; • Write structured game overviews and research summaries.

• Perform static and dynamic analysis of malware samples ranging from commodity threats to sophisticated APT campaigns • Conduct reverse engineering of malicious binaries, scripts, and documents using industry-standard tools • Research emerging malware families, attack techniques, and evasion mechanisms (including polymorphic malware) • Track threat actor TTPs and map findings to frameworks like MITRE ATT&CK • Build AI-based automation tools and pipelines for large-scale malware processing and analysis • Collaborate with AI engineers to integrate malware intelligence into Cracken's agentic framework • Help develop automated malware analysis capabilities within our AI Agent • Produce comprehensive technical reports and threat assessments • Be active in the offensive AI community, sharing insights and staying ahead of adversarial techniques • Present findings to internal stakeholders and contribute to product development • Monitor threat landscape trends and provide strategic threat intelligence insights

• Collection, research and analysis of prices from a selection of sportsbooks. • Contribute to the ongoing development of our in-house data tracking and recording systems. • Quality control and assurance.

• Lead research end to end — user interviews, usability testing, focus groups, surveys, and mixed-methods studies. • Decide what research is needed — read the problem, choose the right approach for the decision and its risk. • Build our AI research capability — create and refine agents that draft plans, synthesize data, and produce reports. • Set the standard — turn your best work into reusable, high-quality templates and define our research process and best practices. • Mine our own data for signals — proactively surface the trends that should shape the roadmap or trigger deeper research. • Get out into the field — travel to partner schools to run interviews, focus groups, and feedback sessions. • Partner across the company — work with marketing, operations, and sales to understand customers from every angle. • Own how we collect and keep research data — work with internal teams and data governance to capture, store, and make research data retrievable. • Present — tell the story of what you found to teams and leadership in a way that drives confident decisions.