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. 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. 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.
Building AI‑Native Research Systems

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

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 (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

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 (synthetic research, agentic workflows, 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 (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)

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 (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.
#J-18808-Ljbffr

📌 Staff Market Intelligence Researcher (Madrid)
🏢 Super
📍 Madrid