Strategist, Applied Intelligence (AI)

Location: London, United Kingdom. Hybrid role requiring in-office collaboration three days per week: Wednesday, Thursday, and one additional day of choice. Candidates must be located in the London area or willing to relocate before starting.

Company

hirify.global is an independent creative innovation company combining design and technology to build valuable experiences for people and brands.

What you will do

• Gather and synthesise market research, user insights, personas, and audience intent.
• Conduct Answer Engine Optimisation audits and identify how AI systems discover, interpret, and represent brand content.
• Support experience strategy, product recommendations, ideation, and AI-driven solution development.
• Evaluate AI outputs for accuracy, brand alignment, and intent fulfilment; identify failure modes and edge cases through synthetic testing.
• Work with semantic data models and JSON-LD schema, and monitor latency, cost, accuracy, and hallucination metrics.
• Build evaluation dashboards, scorecards, charts, reports, and presentations for clients and stakeholders while collaborating with data, creative, and technology teams.

Requirements

• Experience in research, analytics, measurement, marketing sciences, or a related field.
• Experience with qualitative or quantitative research methods, including surveys, interviews, desk research, or audience analysis.
• Interest in product, CX, or UX strategy and how audience insights inform product and channel decisions.
• Working knowledge of SQL, Python, or similar data-analysis tools, or strong spreadsheet skills with willingness to build technical skills.
• Hands-on familiarity with LLM platforms such as ChatGPT, Claude, Gemini, or Perplexity, plus comfort working with JSON and presenting clear findings.
• Experience with visual tools such as Figma, Miro, or Lucidchart and the ability to communicate clearly across disciplines.

Nice to have

• Exposure to AI evaluation or observability tools such as LangSmith or Arize.
• Awareness of agentic workflows, LangChain, LlamaIndex, or prompting techniques.
• Grounding in A/B testing, experiment design, or basic statistical methods.
• Experience with schema markup, databases, knowledge graphs, SEO, or content strategy.

Culture & Benefits

• Hands-on work with experienced strategists on real client projects.
• Practical development in measurement, AI evaluation, Answer Engine Optimisation, and strategic thinking.
• Fast-moving, iterative environment with feedback and opportunities to take on more responsibility.
• Cross-disciplinary collaboration across strategy, data engineering, creative, and technology.