Staff 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. 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.

• Move research from one-off studies to continuous intelligence 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.
• Be the primary executor of research—not a coordinator.
• 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.
• Build and maintain a live view of the consumer and brand.
• 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.
• Create a system that continuously monitors the market.
• Deploy automated agents to track competitor activity across ads, pricing, hiring, product, and media.
• Synthesize signals into regular, decision-oriented competitive briefings.
• Interpret what competitor activity means—not just what happened.
• Build the foundation that enables scale.
• 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).
• Bridge research with performance.
• 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).