Staff Market Intelligence Researcher in London

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack – the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world!

From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. 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.

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. Where others deliver one study in six weeks, you will deliver multiple validated insights in a fraction of the time—not by working harder, but by working differently. This is a hands‑on, high‑impact individual contributor role.

You will sit across Marketing Intelligence and Performance & Analytics, connecting consumer understanding directly to commercial outcomes, while building the workflows, tools, and infrastructure that make this possible.

• Design and run AI‑moderated qualitative research at scale (e.g. interviews, concept testing, exploratory qual)
• Build repeatable workflows: survey pipelines, social listening synthesis, competitive monitoring agents
• Use LLMs to analyse large volumes of unstructured data (app reviews, transcripts, 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

• 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

• Operate a continuous brand intelligence system (pulse surveys, sentiment, 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

• 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

• 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 (synthetic research, agentic workflows, multimodal analysis)

• 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

• 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 (survey design, sampling, analysis)
• Solid qualitative expertise (moderation, discussion design, 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 (e.g. gaming, e‑commerce, fintech)

• 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 (e.g. AI‑moderated interviews, qualitative synthesis tools)
• Exposure to synthetic research methods (AI personas, simulated respondents)
• Coding experience (Python or R) for automation or analysis
• Multi‑market or international research experience

We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives drive better performance.