Technology Evangelist

Key Responsibilities

• Content Creation:
  Develop high-quality technical content (documentation, tutorials, blog posts, and presentations) focused on MLOps workflows, MLOps tools, and the MA OSS platform to educate and engage the global open-source ML community.
• Community Engagement:
  Build and nurture a vibrant external developer and contributor community for the MA OSS project. This includes organizing workshops, hackathons, and educational programs to drive external adoption and community contributions.
• Operational Efficiency:
  Enhance the operational aspects of the developer advocacy program to align with high-level business objectives.
• Feedback Loop Management:
  Engage with the developer community and internal teams to collect and analyze feedback. Use this data to prioritize feature requests and bug fixes.
• Strategic Planning:
  Align developer advocacy initiatives with the priorities of the business and engineering teams.
• Plan and execute on a biannual schedule while adapting to emerging trends and organizational needs.
• Advocacy and Influence:
  Represent the needs of the developer community internally, championing their causes and driving changes that enhance their experience and productivity.
• Provide technical support and troubleshooting guidance to external MA OSS community users and contributors, focusing on MLOps workflows and platform adoption across the entire service development lifecycle.
• Develop and share high-quality technical content such as documentation, blogs, tutorials and presentations crucial for educating engineering community about best practices, new tools and technologies.
• Continuously engage with the developer community, various internal teams and stakeholders to collect, organize and analyze feedback to help prioritize feature requests, bug fixes and ensure product roadmaps meet business goals and provide a top-tier engineering experience.

• Strong technical background with deep experience in Machine Learning (ML) and MLOps practices. Familiarity with the entire ML development lifecycle (data, training, serving, monitoring).
• Excellent communication and interpersonal skills, capable of building strong relationships.
• Proven ability to create engaging content tailored for a technical audience.
• Experience in community building and management in a technical environment.
• Strong analytical and problem-solving skills, with a proven ability to manage complex projects in a dynamic environment.

Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent experience.