The AI Conversational Shopping team is looking for an Sr AI Editorial Lead to drive its efforts in delivering a seamless, fluent, and locally-relevant experience for AI-assisted shopping in new marketplaces and languages. This is an opportunity to join the high-performing team behind Rufus and Amazon’s Generative AI broader shopping initiatives. Our objective is to make it easy for customers worldwide to find and discover the best products, meet their unique needs with product research, providing comparisons and recommendations, answering specific product questions, and more. This role is inherently high-visibility and highly cross-functional, requiring collaboration and influence across global product, design, science, and engineering teams, to support evaluation, automation and curation efforts in the AI development process.
This role requires bilingual fluency in English and Portuguese, exceptional writing and communication skills in both languages, excellent judgement, strong interpersonal skills, deep curiosity about how things work in the AI space, and a passion for serving customers. You must enjoy context-switching and partnering at all levels of the organisation to deliver results. This is an opportunity to gain valuable experience in AI and its application in diverse business settings.
We are looking for candidates who are passionate about the intersection of language and technology and who are keen to learn and innovate in the field of artificial intelligence. A successful candidate will thrive in ambiguity and care deeply about curating experiences for customers with content that is clear, concise, and relatable. This person will have a knack for simplifying complex statements and revel in the opportunity to create and implement language and product guidelines. This person will deliver delightful conversational experiences through LLM data curation and editing, evaluation, and prompt engineering. Part tastemaker, part team lead, they will set the quality bar and align our Large Language Models towards the conversational style they should adopt in new marketplaces while enabling scalable innovation across all global marketplaces.
Key job responsibilities
- Curate and evaluate short-form content along a defined criteria that will be used to assess, optimize and train our AI models
- Define, align and guide global stakeholders in implementing language and evaluation guidelines for Generative AI shopping experiences
- Uphold response quality by exercising judgment and using customer feedback to continually drive improvements across team processes
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of evaluation and annotation tasks
- Create, design and use frameworks for Prompt tuning and management to improve the fluency of our AI models
- Guide the development of automation and internal tools that will support evaluation and editorial curation, by providing user requirements and feedback
- Work closely with product, science and engineering stakeholders to prioritise, complete projects within deadlines and launch new AI features and experiences internationally
Basic Qualifications
- Strong experience in Product/Program Management, Marketing, Communications or Journalism.
- Bachelor’s Degree in IT, Business, Marketing, Journalism, Communications or comparable fields
- Bilingual fluency in English and Portuguese
- Exceptional written and verbal communication skills
- Highly effective at writing, editing and assessing short form content across diverse subject matters
- Experience in defining and owning project objectives, requirements, and delivery
- High attention to detail while managing multiple, competing priorities simultaneously
- Experience in customer-facing product management, including defining, launching, and optimizing new features
Preferred Qualifications
- Experience working in Generative AI, particularly relating to Evaluations, Product Management, Content Management, Prompt Engineering, Editorial, Tutoring, Expert/Human Annotations
- Experience in documenting learnings, strategies, and proposals to present to leadership and stakeholder teams
- Experience working with product, science and engineering teams to develop, launch, or improve tooling and/or user features for customers
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