Staff Research Operations Lead
Superbet is building the future of gaming experiences and is seeking a visionary lead to establish its AI-first UX Research Operations function from the ground up. This is a rare opportunity to define how AI transforms research at scale - moving from traditional qual/quant methods to intelligent, automated insight generation that keeps pace with our global expansion. You'll be the bridge between cutting-edge AI capabilities and human-centered research excellence, building systems that allow our product teams to make confident, data-informed decisions 10x faster than traditional research allows. This is not a traditional ResearchOps role. We're looking for someone who sees AI as the primary research infrastructure, not just a productivity tool. You bring methodological mastery, creative curiosity, and the kind of presence that makes participants forget they're being observed and leaders believe you shape company wide narratives. You also bring a future positive mindset: you are actively integrating AI tools into your workflow to do more, faster, without sacrificing the depth that makes qual irreplaceable. You know when AI is helpful and when it is not and can help junior researchers make decisions around when to use them.
- Design and implement an AI-native research stack that automates insight synthesis, pattern detection, and continuous discovery.
- Build a living research knowledge base where AI surfaces relevant insights the moment teams need them—no searching through Notion or Dovetail.
- Deploy AI agents for interview transcription, analysis, synthesis, competitive intelligence, and sentiment monitoring across 12+ markets.
- Enable product managers, designers, and engineers to self-serve 80% of research questions through AI-assisted tools.
- Establish always-on research systems (AI-powered surveys, behavioral analytics, community listening) that generate insights without manual studies.
- Build models that anticipate user needs, friction points, and opportunities before traditional research would surface them.
- Create AI systems that synthesize insights across Superbet's global markets, detecting regional patterns and universal truths.
- Implement AI-assisted validation frameworks to ensure insights are reliable, unbiased, and actionable.
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL.
- Experience working cross functionally with tech and non-tech teams.
- Experience defining program requirements and using data and metrics to determine improvements.
- Experience in program or project management.
- Experience implementing repeatable processes and driving automation or standardization.
- Experience defining and executing program requirements within strict timelines.
- ResearchOps Excellence: Built research operations from 0→1 at a high-growth company.
- Designed research repositories, tooling stacks, and democratization programs.
- Managed research panels, participant recruitment, and compliance frameworks.
- Scaled research to support 50+ stakeholders across multiple product teams.
- AI & Research Intersection: 5+ years in UX Research, with 2+ years actively using AI in research workflows.
- Shipped AI-powered research tools, processes, or platforms (not just "used ChatGPT").
- Deep understanding of LLMs, RAG systems, prompt engineering for research applications.
- Experience evaluating AI research tools and building AI-augmented research practices.
- Technical Acumen: Comfortable reading code, writing SQL, or working with APIs.
- Built custom AI workflows (GPT API, Claude API, Zapier, Make).
- Industry Context (Preferred): Experience in regulated industries (gambling, fintech, healthcare).
- Multi-market or international research experience.
- Background in high-velocity product environments (weekly releases).
- Competitive compensation at Staff IC level.
- Equity.
- Genuine investment in your development as a researcher.
