TL;DR

AI Content Team Leader (AI): Managing a team of international content designers to deliver AI-first content experiences across the international QuickBooks ecosystem with an accent on ensuring consistency and cultural relevance across all international markets. Focus on shaping content creation and management in the age of AI and optimizing content for Large Language Models (LLMs).

Location: In-office a minimum of 3 days a week in London, United Kingdom

Company

%hirify_global% is the global financial technology platform that powers prosperity for the people and communities we serve.

What you will do

Manage a team of ~7 content designers and be responsible for the delivery of best-in-class content.
Accelerate adoption of GenAI models & tools to boost content creation, management, and curation velocity and quality.
Contribute to an AI-first strategy and roadmap to bring innovations to life.
Optimize content approach to feed internal and external LLMs and generative experiences.
Collaborate with data scientists, developers, and content creators on content-related needs.
Ensure all content adheres to company's guidelines, standards, and brand identity.

Requirements

6-8 years of experience with content creation, technical writing, artificial intelligence (NLP, ML, GenAI), computational linguistics, or related fields.
3-5 years of experience as manager of content designers.
Significant experience with content management systems, digital publishing tools, modular, structured content, and UX design principles.
Strong knowledge of AI/LLMs and how they work.
Excellent organizational and time management skills, with the ability to work independently, and manage multiple projects simultaneously.
Strong interpersonal and collaboration skills and interest in coaching others.

Culture & Benefits

Competitive compensation package with a strong pay for performance rewards approach.
Eligible for a cash bonus, equity rewards and benefits, in accordance with applicable plans and programs.
%hirify_global% conducts regular comparisons across categories of ethnicity and gender to drive ongoing fair pay for employees.