Market Intelligence Researcher

Traditional market research is built around studies. This role is not. At Super, we are building an AI-native research function where insight is not delivered in isolated projects, but generated continuously through systems. As a Staff Market Intelligence Researcher, your primary tool is AI — not as a shortcut, but as the infrastructure through which research happens.

You will design and operate research systems that produce high-quality consumer and market intelligence at a speed and scale that traditional agency models cannot match. This is a hands-on, high-impact individual contributor role sitting across Marketing Intelligence and Performance & Analytics, connecting consumer understanding directly to commercial outcomes whilst building the workflows, tools, and infrastructure that make this possible.

What the role involves

Building AI-native research systems

• Design and run AI-moderated qualitative research at scale, including interviews, concept testing, and exploratory qual.
• Build repeatable workflows: survey pipelines, social listening synthesis, and competitive monitoring agents.
• Use LLMs to analyse large volumes of unstructured data such as app reviews, transcripts, and customer feedback.
• Implement validation frameworks to ensure AI outputs are reliable and decision-ready.
• Optimise every workflow for speed, with most outputs delivered in days, not weeks.

Delivering high-throughput insight

• Own and triage research requests from across the marketing organisation.
• Deliver insights within a two-week maximum turnaround, often faster for urgent needs.
• Translate findings into clear, actionable recommendations for marketing teams.
• Run both synthetic-first validation and targeted human research where required.

Owning always-on consumer & brand intelligence

• Operate a continuous brand intelligence system covering pulse surveys, sentiment, and social data.
• Maintain and evolve consumer segmentation frameworks.
• Conduct deep qualitative research for complex or high-stakes questions.
• Build and manage a structured, searchable insights library.

Building automated competitive intelligence

• Deploy automated agents to track competitor activity across ads, pricing, hiring, product, and media.
• Synthesise signals into regular, decision-oriented competitive briefings.
• Interpret what competitor activity means — not just what happened.

Developing AI research infrastructure

• Own the AI research tool stack: evaluation, integration, and governance.
• Create automated pipelines for intake, sampling, analysis, and delivery.
• Establish best practices for responsible, rigorous AI-assisted research.
• Stay ahead of emerging methodologies such as synthetic research, agentic workflows, and multimodal analysis.

Connecting insight to commercial impact

• Partner with analytics to explain performance trends through consumer understanding.
• Feed insight into campaign development — not just post-campaign evaluation.
• Contribute to leadership-level marketing intelligence reporting.

What we are looking for

• 6–9 years in consumer insights or market research with strong mixed-methods expertise.
• Proven experience building and running AI-augmented research workflows at scale.
• Track record of operating in high-throughput, fast-paced environments.
• Strong quantitative skills across survey design, sampling, and analysis.
• Solid qualitative expertise including moderation, discussion design, and synthesis.
• Experience with brand tracking or continuous measurement systems.
• Commercial acumen — ability to connect insights to business outcomes.
• Background in fast-moving digital consumer businesses such as gaming, e-commerce, or fintech.

Nice to have

• Experience in gaming, sports betting, or high-LTV consumer sectors.
• Familiarity with tools such as Brandwatch, Klue, Quantilop, Crayon, or similar.
• Experience with AI research platforms, such as AI-moderated interviews or qualitative synthesis tools.
• Exposure to synthetic research methods including AI personas and simulated respondents.
• Coding experience in Python or R for automation or analysis.
• Multi-market or international research experience.

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.