About the Role

Superbet is building the future of gaming experiences, and we need a visionary lead to architect our 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. 

What You Will Build

Year 1: Foundation

• AI Research Infrastructure: Design and implement an AI-native research stack that automates insight synthesis, pattern detection, and continuous discovery 
• Intelligent Repository: Build a living research knowledge base where AI surfaces relevant insights the moment teams need them—no searching through Notion or Dovetail 
• Automated Research Workflows: Deploy AI agents for interview transcription, analysis, synthesis, competitive intelligence, and sentiment monitoring across 12+ markets 
• Research Democratization: Enable product managers, designers, and engineers to self-serve 80% of research questions through AI-assisted tools 

Year 2: Scale 

• Continuous User Understanding: Establish always-on research systems (AI-powered surveys, behavioral analytics, community listening) that generate insights without manual studies Predictive Research: Build models that anticipate user needs, friction points, and opportunities before traditional research would surface them 
• Cross-Market Intelligence: Create AI systems that synthesize insights across Superbet's global markets, detecting regional patterns and universal truths 
• Research Quality Assurance: Implement AI-assisted validation frameworks to ensure insights are reliable, unbiased, and actionable

Year 3: Always On Insights 

• AI predicts user friction points before traditional research surfaces them 
• Cross-market insight synthesis happens automatically 
• Research velocity 10x faster than traditional methods 
• Industry-leading case study: "How Superbet built AI-first research" 

What Success Looks Like 

6 Months:

• - AI research stack operational across 3+ product teams 
• - 50% reduction in time-to-insight for common research questions 
• - Research knowledge base with 100+ synthesized insights, AI-searchable 

12 Months: - Product teams self-serve 70%+ of research needs through AI tools - Continuous user understanding systems running across all markets - Research influences 90%+ of major product decisions 

What We Are Looking For

Basic Experience

• 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

Essential Experience

ResearchOps Excellence (Critical) - 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 (Critical) 

• - 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 (Critical) 
• - 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) 

Skills & Mindset

• World-class operator: You have a gift for going across the organization to find the most optimal ways of work - time, money, resource wise.
• AI-enhanced, not AI-dependent: You use AI to go faster and deeper, but your analytical judgement is irreplaceable and you know it. You apply AI tools critically, not uncritically.
• Meticulous planner: You are an expert in Operations and constantly keep improving the team’s delivery model.  
• Org Mover: Your research is not theory alone, you know how to make things tangible, bite sized and move people and work forward. 
• Embrace difficult conversations - Driving research impact is as much about doing good research as it is about convincing people to see things your way. You work with people both easy and difficult to collaborate with to make great experiences come alive. 
• Frugal: You continuously improve our spending habits and drive financial efficiency for the org. 

Nice to Have

• Experience in high intensity consumer products, marketplaces, gaming, financial services, with some degree of experience in trust and safety is useful. 
• Experience in launching new programs, markets and changing large scale work processes in short turn around.
• Experience in some European languages. 

Why This Role at Superbet

Sports is one of the richest contexts for qualitative research: the experience is emotionally intense, socially embedded, culturally specific, and morally complex. Users have contradictory motivations. Their stated and actual behaviour diverge. The moments of joy and frustration are extreme. Understanding all of this deeply, not just what users click, but why they feel what they feel - is what separates good product decisions from great ones.

• Access to a diverse, passionate user base across 12+ markets - every cultural context brings new research challenges.
• A team that values qualitative rigour and won't ask you to reduce everything to a number.
• Senior visibility: your insights will be read by the CPO and product leadership, not just deposited in a repo.
• A Principal Quant Researcher as a genuine peer - someone to build with, argue with, and create better mixed-methods evidence with.
• Competitive compensation at Staff IC level with equity and a genuine investment in your development as a researcher.

Super Technologies is scaling, and we’re expanding our P&T Talent Acquisition team.
We are looking for an experienced Tech Sourcer with a passion for discovering and engaging high-impact Product & Technology talent across global markets.

What you’ll be doing? Responsibilities.


• Proactively source and identify top talent for Product & Technology roles (Engineering, Product, Data, QA, Design, Platform, Security, PMO, etc.).
• Build long-term talent pipelines for critical skill areas and future hiring needs, using tools such as LinkedIn Recruiter, GitHub, job boards and talent communities.
• Conduct initial outreach and candidate screenings to evaluate technical alignment and motivation while serving as a primary ambassador for Super Technologies’ culture and values.
• Partner closely with Talent Acquisition Partners and hiring managers to understand role requirements and refine sourcing strategies.
• Track and manage candidates via our ATS (Greenhouse) ensuring accurate data, progress tracking and pipeline health.
• Deliver high-quality shortlists and insights to TA Partners and hiring teams, enriching market understanding and decision-making.
• Experiment with creative sourcing tactics: referrals, social channels and niche platforms to access diverse and hard-to-find candidate pools.
• Collaborate across markets and teams to share sourcing best practices, tools, and market intelligence.

You’ll thrive in this role if you:


• Bring 2-3 years of experience as a Sourcer or Talent Researcher, ideally within Product & Tech positions.
• Are confident navigating LinkedIn Recruiter, and advanced sourcing.
• Understand common product and engineering profiles and can translate job requirements into sourcing priorities.
• Enjoy building pipelines proactively rather than reacting to open roles.
• Have experience qualifying candidates and assessing technical basics (you don’t need to code but you should speak the language!).
• Communicate clearly, build rapport quickly and create excitement around Super Technologies.
• Work effectively in a fast-moving, international environment with shifting priorities and volume cycles.
• Organize your work independently, track pipelines clearly and deliver consistently.
• Have experience with ATS tools and value clean data and process discipline.
• Passionate to learn about new technologies, markets and sourcing channels as the talent landscape evolves.

Super Technologies is scaling, and we’re expanding our P&T Talent Acquisition team.
We are looking for an experienced Tech Sourcer with a passion for discovering and engaging high-impact Product & Technology talent across global markets.

What you’ll be doing? Responsibilities.


• Proactively source and identify top talent for Product & Technology roles (Engineering, Product, Data, QA, Design, Platform, Security, PMO, etc.).
• Build long-term talent pipelines for critical skill areas and future hiring needs, using tools such as LinkedIn Recruiter, GitHub, job boards and talent communities.
• Conduct initial outreach and candidate screenings to evaluate technical alignment and motivation while serving as a primary ambassador for Super Technologies’ culture and values.
• Partner closely with Talent Acquisition Partners and hiring managers to understand role requirements and refine sourcing strategies.
• Track and manage candidates via our ATS (Greenhouse) ensuring accurate data, progress tracking and pipeline health.
• Deliver high-quality shortlists and insights to TA Partners and hiring teams, enriching market understanding and decision-making.
• Experiment with creative sourcing tactics: referrals, social channels and niche platforms to access diverse and hard-to-find candidate pools.
• Collaborate across markets and teams to share sourcing best practices, tools, and market intelligence.

You’ll thrive in this role if you:


• Bring 2-3 years of experience as a Sourcer or Talent Researcher, ideally within Product & Tech positions.
• Are confident navigating LinkedIn Recruiter, and advanced sourcing.
• Understand common product and engineering profiles and can translate job requirements into sourcing priorities.
• Enjoy building pipelines proactively rather than reacting to open roles.
• Have experience qualifying candidates and assessing technical basics (you don’t need to code but you should speak the language!).
• Communicate clearly, build rapport quickly and create excitement around Super Technologies.
• Work effectively in a fast-moving, international environment with shifting priorities and volume cycles.
• Organize your work independently, track pipelines clearly and deliver consistently.
• Have experience with ATS tools and value clean data and process discipline.
• Passionate to learn about new technologies, markets and sourcing channels as the talent landscape evolves.

Super Technologies is scaling, and we’re expanding our P&T Talent Acquisition team.
We are looking for an experienced Tech Sourcer with a passion for discovering and engaging high-impact Product & Technology talent across global markets.

What you’ll be doing? Responsibilities.


• Proactively source and identify top talent for Product & Technology roles (Engineering, Product, Data, QA, Design, Platform, Security, PMO, etc.).
• Build long-term talent pipelines for critical skill areas and future hiring needs, using tools such as LinkedIn Recruiter, GitHub, job boards and talent communities.
• Conduct initial outreach and candidate screenings to evaluate technical alignment and motivation while serving as a primary ambassador for Super Technologies’ culture and values.
• Partner closely with Talent Acquisition Partners and hiring managers to understand role requirements and refine sourcing strategies.
• Track and manage candidates via our ATS (Greenhouse) ensuring accurate data, progress tracking and pipeline health.
• Deliver high-quality shortlists and insights to TA Partners and hiring teams, enriching market understanding and decision-making.
• Experiment with creative sourcing tactics: referrals, social channels and niche platforms to access diverse and hard-to-find candidate pools.
• Collaborate across markets and teams to share sourcing best practices, tools, and market intelligence.

You’ll thrive in this role if you:


• Bring 2-3 years of experience as a Sourcer or Talent Researcher, ideally within Product & Tech positions.
• Are confident navigating LinkedIn Recruiter, and advanced sourcing.
• Understand common product and engineering profiles and can translate job requirements into sourcing priorities.
• Enjoy building pipelines proactively rather than reacting to open roles.
• Have experience qualifying candidates and assessing technical basics (you don’t need to code but you should speak the language!).
• Communicate clearly, build rapport quickly and create excitement around Super Technologies.
• Work effectively in a fast-moving, international environment with shifting priorities and volume cycles.
• Organize your work independently, track pipelines clearly and deliver consistently.
• Have experience with ATS tools and value clean data and process discipline.
• Passionate to learn about new technologies, markets and sourcing channels as the talent landscape evolves.