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About the Role
This role is for an early-career strategist or analyst focused on experience strategy, audience research, measurement, evaluation, and Answer Engine Optimisation (AEO). You will work on traditional digital products and generative AI experiences, contributing to making these systems measurable, testable, and continuously improvable. The position offers exposure to human-centred design, technical rigour, and strategic thinking, with an emphasis on rigorous testing and growth in a developing discipline. You will help build measurement, testing, and AEO practices to ensure brand experiences are visible, accurate, and validated at scale.
Responsibilities
- Gather and synthesise market research and user insights to build personas and understand user intent.
- Conduct Answer Engine Optimisation audits to identify how AI systems and answer engines interpret brand content.
- Translate audience research and user insights into product recommendations and contribute ideas for new features and AI-driven solutions.
- Apply evaluation rubrics to score AI outputs for accuracy, brand alignment, and intent fulfilment, and suggest rubric improvements.
- Assist in setting up synthetic test scenarios and analysing results to identify edge cases and patterns.
- Map brand content to semantic data models and JSON-LD schema to enhance machine readability for AI and answer engines.
- Monitor and report on operational metrics such as latency, cost, accuracy, and hallucination rate against benchmarks.
- Build and maintain evaluation dashboards and scorecards, and draft initial findings.
- Review AI outputs and system prompts against evaluation results to ensure brand strategy is effectively communicated.
- Create charts, summaries, and slides from data and insights for clients and stakeholders.
- Collaborate with data engineering, creative, and technology teams to understand measurement definitions.
Requirements
- Experience with research, analytics, measurement, marketing sciences, or a related field.
- Exposure to generative AI products or evaluation is a plus.
- Experience with qualitative or quantitative research methods.
- Interest in product, CX, or UX strategy, and how audience insight informs decisions.
- Working knowledge of SQL, Python, or similar for data analysis, or strong spreadsheet skills with a willingness to develop technical skills.
- Hands-on familiarity with LLM platforms (ChatGPT, Claude, Gemini, Perplexity).
- Comfort working with data in various forms, including structured formats like JSON.
- Ability to turn data into clear, accessible charts and summaries.
- Some experience with Figma, Miro, Lucidchart, or similar visual tools.
- Ability to explain findings clearly in writing and conversation to diverse colleagues.
- Curiosity about people and audience needs.
- An evaluation-minded approach, finding interest in AI system performance and testing.
- Interest in learning AEO and measuring content and brand signals for AI and answer engines.
- A methodical approach to problem-solving and a willingness to share ideas.
- Attention to detail regarding accuracy and the validity of findings.
- Comfort in a fast-moving, iterative environment.
- Eagerness to learn, receive feedback, and take on responsibility.
- Understanding of brand consistency and interest in preventing AI 'hallucinations'.
Skills
- Answer Engine Optimisation (AEO)
- Audience Research
- Measurement
- Evaluation
- Generative AI
- AI Evaluation
- Data Analysis
- SQL
- Python
- Spreadsheet Skills
- LLM Platforms
- JSON
- Figma
- Miro
- Lucidchart
- Communication
- Prompting Techniques
- A/B Testing
- Experiment Design
- Statistical Methods
- Schema Markup
- JSON-LD
- Databases
- Knowledge Graphs
- SEO
- Content Strategy
Location
- London
Work Type
- Hybrid
- In-office collaboration three days per week
Experience Level
- Early-career
About the Company
- R/GA is an independent creative innovation company built for the intelligence age.
- We harness the power of design and technology to create more valuable experiences for people and brands.
- We help organisations anticipate change and shape what comes next by architecting adaptive brand experiences with AI and optimising complex systems.
- Our teams combine craft, curiosity, and technology to deliver work that drives both business and human impact.