策略师，应用智能
岗位摘要
收集并综合市场研究与用户洞察，帮助构建用户画像并理解用户意图；运用既定方法执行答案引擎优化（AEO）审计，记录品牌内容在AI系统中被遗漏、误读或歪曲的情况；应用评估标准对AI输出进行准确性、品牌一致性和意图满足度评分，并标记标准改进点
岗位职责
- 收集并综合市场研究与用户洞察，帮助构建用户画像并理解用户意图
- 运用既定方法执行答案引擎优化（AEO）审计，记录品牌内容在AI系统中被遗漏、误读或歪曲的情况
- 应用评估标准对AI输出进行准确性、品牌一致性和意图满足度评分，并标记标准改进点
- 协助设置合成测试场景并分析结果，揭示边缘案例、故障模式和规律
- 支持团队将品牌内容映射到语义数据模型和JSON-LD模式，使其对AI可读
- 监控并报告延迟、成本、准确性和幻觉率等运营指标，对照评估基准标记显著变化
任职要求
- 早期职业策略师或分析师，具备体验策略、受众研究、测量评估和AEO领域的学习热情
- 注重细节，好奇心强，渴望学习严谨测试的方法并愿意在尚在定义的学科中成长
- 具备市场研究和用户洞察的收集与综合能力，能够协助构建用户画像
- 了解或愿意学习答案引擎优化（AEO）审计方法和评估标准应用
- 具备基本的分析能力，能够设置测试场景、分析结果并构建仪表板与记分卡
加分项
- 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.
- 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.
- 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.