Strategist, Applied Intelligence

About R/GA

In our 40-year history, we’ve changed a lot—from a culture-defining film title studio (Superman, Alien, Ghostbusters); to an interactive advertising agency; to an award-winning product and marketing agency with design, technology, communications, ventures and IP practices. We like change, and like to navigate our clients through it too.

Our approach to work is always human first. This unwavering focus helps us create meaningful and memorable experiences that live across digital platforms and often blur the line between the digital and real worlds. We believe disruptive thinking happens when you collide experts in design, technology and culture.

About the role

This is a hands-on role for an early-career strategist or analyst who wants to build expertise at the intersection of experience strategy, audience research, measurement, evaluation and Answer Engine Optimisation (AEO). You'll work across both traditional digital products (websites, apps) and generative, AI-driven experiences, as part of a team working out how to make these systems measurable, testable and continuously improvable.

You'll see projects through from audience discovery and ideation to deployment and evaluation, getting hands-on exposure to how human-centred design, technical rigour and strategic thinking come together. We're looking for someone curious, detail-oriented and eager to learn, who enjoys the craft of rigorous testing and wants to grow with a discipline that's still being defined.

Strategy and analytics are moving from retrospective reporting towards real-time, evaluation-driven work. In this role you'll help build the measurement, testing and AEO practices that keep brand experiences visible to answer engines, accurate and validated at scale, and develop skills that are becoming central to the future of the industry.

What you'll gain

You'll work closely with experienced strategists on real client work in one of the fastest-evolving areas of the industry, building practical skills in measurement, AI evaluation and AEO alongside the strategic thinking that ties it all together.

Here’s what you should know if you want to be a Strategist / Applied Intelligence at R/GA:

On any given day you might

• Pull together audience research by gathering and synthesising market research and user insights to help build personas and understand user intent.

• Run AEO audits using established methods, documenting where brand content is missed, misread or misrepresented by AI systems and answer engines.

• Support experience strategy by helping turn audience research and user insights into product recommendations, and contributing ideas in ideation sessions for new features, journeys and AI-driven solutions.

• Score AI outputs by applying evaluation rubrics for accuracy, brand alignment and intent-fulfilment, and flagging where rubrics could be improved.

• Assist with testing by helping set up synthetic test scenarios and analysing the results, surfacing edge cases, failure modes and patterns for the wider team to review.

• Work with structured data to support the team in mapping brand content to semantic data models and JSON-LD schema, helping make it machine-readable by AI and answer engines.

• Track operational metrics by monitoring and reporting on latency, cost, accuracy and hallucination rate, flagging notable changes against evaluation benchmarks.

• Build dashboards and scorecards to maintain evaluation metrics, and draft initial findings for review.

• Review system behaviour by checking AI outputs and system prompts against evaluation results to spot where brand strategy isn't coming through as intended.

• Prepare reporting by helping turn data and insights into clear charts, summaries and slides for clients and stakeholders.

• Collaborate broadly alongside data engineering, creative and technology teams, learning how each discipline defines and measures "good".

The ideal person

• Is curious about people, enjoying understanding what audiences need and why, and wanting to see that insight shape digital products and AI experiences.

• Is evaluation-minded, finding it genuinely interesting to dig into how AI systems succeed and fail, and seeing testing as a core part of good work.

• Wants to learn AEO, is interested in how content and brand signals are discovered and surfaced by AI and answer engines, and is keen to build expertise in measuring it.

• Thinks in structured ways, approaches problems methodically, asks good questions and isn't afraid to share ideas.

• Enjoys the detail, takes care over accuracy, and likes making sure numbers, criteria and findings hold up.

• Thrives in agile, and is comfortable in a fast-moving, iterative environment where priorities shift and you learn by doing.

• Is eager to grow, welcomes feedback, learns quickly and wants to take on more responsibility over time.

• Cares about the brand, understands why brand consistency matters, and is interested in how to catch AI "hallucinations" before they reach users.

You bring

• Experience of 2–3 years in research, analytics, measurement, marketing sciences or a related field (exposure to generative AI products or evaluation is a plus but not essential).

• Research foundations, including some experience with qualitative or quantitative research methods, such as surveys, interviews, desk research or audience analysis.

• Strategic interest in product, CX or UX strategy, and in how audience insight informs product and channel decisions.

• Technical basics, such as a working knowledge of SQL, Python or similar for data analysis, or strong spreadsheet skills and a clear willingness to build technical skills.

• AI curiosity and hands-on familiarity with LLM platforms (ChatGPT, Claude, Gemini, Perplexity) and a genuine interest in how they surface, cite and rank content.

• Data comfort when working with data in different forms, including structured formats like JSON, and turning it into clear, accessible charts and summaries.

• Visual tools experience using Figma, Miro, Lucidchart or similar for mapping journeys, processes or logic.

• Clear communication skills and the ability to explain findings clearly in writing and in conversation, to colleagues from different disciplines.

Bonus Points

• Evaluation Tools: Exposure to AI evaluation or observability tools such as LangSmith or Arize.

• Agentic Systems: Awareness of agentic workflows or orchestration frameworks such as LangChain or LlamaIndex.

• Prompting: Familiarity with prompting techniques such as Chain-of-Thought and Few-Shot.

• Testing & Stats: Some grounding in A/B testing, experiment design or basic statistical methods.

• Structured Data: Any exposure to schema markup, JSON-LD, databases or knowledge graphs.

• SEO or Content Strategy: Experience with SEO or content work and an interest in how it applies to answer engines.

Location & Work Model

 *This role is based in London and requires in-office collaboration three days per week: Wednesday, Thursday, and one additional day of your choice. Candidates must be located in the London area or willing to relocate before their start date.

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