As an AI Advocate Lead within the ibm.com team, you'll harness your skills to engage in the development of explainers and tutorials, which will focus on common AI use cases that can be solved for via IBM's watsonx platform.Your role is to lead and build authoritative content focused on topics related to the Data and AI space to encourage and drive adoption in this space. You should leverage internal product enablement, market and academic research, books, top articles and videos on search engines to inform your content. This in-depth research will allow you to identify content patterns and cross reference information across sources, enabling you to craft authoritative technical content on search engines. Your content should drive organic traffic outcomes to the IBM website as well as progress (i.e. convert) users further down the marketing funnel.Responsibilities:• You have led a team of AI advocates, specializing within the NLP space. You'll be responsible for developing and mentoring the team to develop their best work to contribute and amplify IBM's credibility within engineering/AI communities.• Participate in the recruitment and hiring process to build a high-performing team. Identify talent gaps, promote skill development, and create opportunities for professional growth.• You will establish partnerships with our technical sales teams to understand the different use cases that are emerging within POCs.• You should be able to consume and understand information on complex technology topics from trusted sources to author informational articles and tutorials in a clear and concise manner. Your articles should avoid buzzwords and business jargon.• Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact within our day-to-day work as a team.• Partner with product marketing to weave in IBM's point of view on a specific technology topics• Navigate IBM products, like watsonx, to document common industry-related tasks (e.g. using a Jupyter notebook in watsonx.ai to build machine learning models)• Collaborate with SEO strategists and user researchers to understand the content needs of our core audiences
