Senior UX Research Manager at Super Technologies

As Senior UX Research Manager at Super, you will own and scale a high-impact research function that sits at the heart of every major product decision. This is not a purely strategic or administrative role — we are looking for a hands-on research leader who can manage and grow a large team whilst simultaneously being a credible, practising researcher. You will report to the Research Director and have a direct seat at the executive table, shaping product strategy through the voice of the user.

What the role involves

Strategic research leadership

• Define and own the multi-year UX research strategy aligned to Super's product and business goals across sports betting, gaming, and payments verticals.
• Translate ambiguous business challenges into crisp research programmes that generate confident executive decisions — from market expansion and feature prioritisation to onboarding flows and live betting experiences.
• Build and maintain a research roadmap that balances generative discovery, evaluative testing, and longitudinal tracking at scale.
• Represent research at executive and C-suite level, presenting insights that drive resource allocation, product pivots, and go-to-market strategy.

Large-team hands-on management

• Directly manage and grow a team of 6–8 UX researchers across seniority levels, spanning qualitative, quantitative, and mixed-methods disciplines.
• Grow junior managers in both UX Research and Market Research.
• Maintain a hands-on presence — conduct research yourself, review screeners and discussion guides, and be present in sessions, not only in deck reviews.
• Build a culture of craft and rigour; personally mentor researchers on methodology selection, analysis quality, and storytelling.
• Own hiring, performance management, career development frameworks, and team structure, adapting org design as the team scales.
• Create psychological safety and high-output norms simultaneously: a team that ships great research fast and keeps raising the quality bar.

AI-driven research operations

• Lead the transformation of Super's research workflows through AI — identify, pilot, and embed AI tools for participant recruitment, auto-transcription and synthesis, pattern recognition, and accelerated insight generation.
• Champion AI-assisted analysis (e.g. LLM-powered thematic coding, sentiment analysis across user feedback pools) to reduce time-to-insight without sacrificing rigour.
• Establish responsible AI use guidelines for research, ensuring synthetic data, simulated users, and AI-generated summaries are used critically and transparently.
• Partner with data science and analytics to build continuous research intelligence pipelines that surface user signals in near-real-time.
• Stay ahead of AI-native research methods (e.g. conversational research agents, automated usability benchmarking) and make evidence-based bets on adoption.

Executive decision enablement

• Operate as a trusted adviser and thought partner to the VPs of Product and VP of Design, shaping strategic decisions with user evidence before options narrow.
• Design and deliver research artefacts calibrated for executive consumption: crisp, opinionated, and actionable — decision-accelerating briefs, not exhaustive reports.
• Build a culture of evidence-based decision-making across Product, Engineering, Marketing, and Commercial teams by embedding research touchpoints in planning and OKR cycles.
• Proactively identify decisions being made without research and intervene diplomatically with the right methodology at the right fidelity.

Research practice & infrastructure

• Build and own the research operations infrastructure: panel management, vendor relationships, consent frameworks, data governance, and tooling stack (e.g. Dovetail, UserZoom, Lookback, Maze).
• Establish a shared research repository that makes insights discoverable and reusable across product teams.
• Develop research democratisation programmes — training product managers and designers in appropriate self-serve methods whilst protecting methodological integrity.
• Define quality standards and peer-review practices that elevate the output of every researcher on the team.

What we are looking for

• 10+ years of UX research experience in high-growth product environments, with at least 5 years in a people management role.
• Demonstrated experience managing large research teams (6+ direct and indirect reports) in a fast-paced, matrixed organisation.
• Proven track record of conducting and leading both qualitative and quantitative research — as comfortable running a contextual inquiry as designing a quantitative survey instrument.
• Experience presenting research to C-suite and board-level stakeholders and influencing major product or business decisions.
• Hands-on experience implementing AI tooling in research workflows — not just awareness, but actual deployment and change management.
• Strong command of the full research methods toolkit: ethnographic research, diary studies, usability testing, concept testing, conjoint analysis, surveys, behavioural analytics, and more.
• Hands-on by default: able to assess research quality directly because you still practise it.
• Executive presence: able to distil months of research into a concise brief that changes a product direction.
• Systems thinker: views research as an interconnected evidence system that continuously informs strategy, not as isolated studies.
• Commercially literate: connects user insights to business outcomes — revenue, retention, conversion, and lifetime value — and communicates fluently with non-research stakeholders.

Nice to have

• Experience in betting, gaming, fintech, or other high-velocity consumer product environments.
• Academic background in HCI, Psychology, Cognitive Science, Sociology, or a related human behaviour field.
• Experience building research practices from scratch or through significant transformation phases.
• Fluency in data tools (SQL basics, Tableau, Amplitude, Mixpanel) to triangulate behavioural with attitudinal data.
• Experience with internationalisation research across multiple markets and cultures.

What we offer

• Medical / Health Insurance
• Open Annual Leave
• Employee Assistance Programme
• Training & Learning Development

Additional benefits vary by country and will be shared during the hiring process.