Job title: Manager, AI Advocacy

Company: IBM

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
Are you an enterprise engineer that is looking to lead the adoption of the cutting-edge technology? We are looking for technical leaders and evangelists to drive the adoption of our AI technology across industry verticals.Your role is to manage and lead a team of AI advocates who build technical and educational content, specifically AI explainers and tutorials, primarily focused on topics and IBM products related to Data and AI. Your team should leverage internal product enablement, market and academic research, books, top articles and videos on search engines to inform your content. You and your team should also maintain knowledge of industry trends, staying relevant and current in their expertise.This content should drive organic traffic outcomes to the IBM website as well as shape IBM’s perception within technical communities as a leader within the AI market.Responsibilities:

Democratize AI by leading the build of explainers, tutorials, demos and by actively contributing to open source frameworks
Drive progress against our annual traffic goals to ibm.com through inbound technical content
Manage a team of technical content creators, providing regular feedback to help individuals improve the quality of their work and achieve business outcomes
Build and own a data-driven content strategy around your content area by using data from sources, like keyword research, web analytics, and social listening tools, to inform your strategy.
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. Any content produced by the team should avoid buzzwords and business jargon.
Gain eminence in the community by socializing your individual contributions and the work of the team
Partner with product marketing to weave in IBM’s point of view on a specific technology topics
Be able to 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 technical audiences
Ensure adoption of IBM standards to develop content that is aligned to our overall Style Guide, ensuring that we show up as one IBM to the market.
Be a resource and mentor for more junior members of the team

Required Technical and Professional Expertise

You can write great code in key open source communities
You can provide examples where you have provided constructive and critical feedback to teams, enabling individuals to do their best work
You can demonstrate how you have led teams in the past and have set data-driven content strategies, which incorporate feedback from adjacent teams.
You have experience transforming dense technical topics into engaging, informative and interesting educational materials
You enjoy self-driven learning on new technologies
You have experience reading and writing code in a programming language, such as Ruby, Python, C++, Java, etc.
You have publicly available technical writing samples or videos that have demonstrated high audience reach (e.g. articles/videos 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.

Preferred Technical and Professional Expertise