Lead, AI Advocacy

Key Skills

A/B Testing, AI technology, Effective communication skills, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

Introduction

As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

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

Required Technical and Professional Expertise

• You can transform dense technical topics into engaging, informative and interesting educational materials
• You enjoy self-driven learning on new technologies
• You have programming experience, particularly in Python, and are familiar with AI frameworks such as TensorFlow, Pytorch, or Hugging Face.
• You have publicly available open-source contributions and/or technical writing samples that demonstrate high audience reach (e.g. articles that rank on page 1 of SERPs, published articles, etc.)
• You have experience with Developer communications, like engineering blogs and writing newsletters
• Able to work independently, with a strong sense of responsibility and commitment to teamwork. You have a volunteer spirit with a ‘we succeed as a team’ attitude.
• Able to mentor and guide more junior members of the team

Preferred Technical and Professional Expertise

• You enjoy public speaking at meetups, conferences, and internal events
• Experience implementing A/B testing at scale, tracking and diagnosing funnel metrics with a proven record of generating growth through analytics