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About the Role

The Lead AI Advocate bridges the gap between Georgian’s AI/ML tools and the developer community. This role fosters engagement within the Transferred Learning community, curates and executes educational content and program events, and champions open-source initiatives. The Developer Advocate will stay at the forefront of AI/ML trends to ensure Georgian’s tools and research remain relevant and impactful.

Responsibilities

• Manage the Transferred Learning community, engage in thought leader conversations, and build trust.
• Develop tutorials, blog posts, and educational programs in collaboration with internal and external experts.
• Champion Georgian’s open-source initiatives, collaborating with contributors to boost adoption.
• Stay informed on AI/ML trends and relay insights to internal teams and the community.
• Organize and participate in tech events, building relationships with key influencers.
• Promote Georgian’s tools, research repositories, and initiatives within the developer ecosystem.

Requirements

• Strong background in AI/ML, exceptional communication skills, and a passion for community building.
• Collaboration across internal teams and external stakeholders to promote Georgian’s research repositories, tools, and initiatives while driving adoption and engagement within the developer ecosystem.
• 5+ years of experience in the ML/AI startup ecosystem.
• Demonstrated success in AI/ML community management and creating developer-focused content.
• High ambition & agency: thrive in low-structure, high-ownership settings.
• Insatiable curiosity: debug to the root cause and ask "why" until you truly understand.
• Team over ego: amplify colleagues and founders alike, seeing leverage in elevating the collective.
• Commercial storytelling: speak with brevity and distill complexity so a time‑starved CEO instantly sees value.
• Builder mentality: ship an imperfect MVP today rather than a perfect solution next quarter.

Skills

• Python
• Programming techniques
• Software development
• Machine learning (ML) concepts
• Artificial intelligence (AI) concepts
• Open-source tools
• Repository management (e.g., GitHub)
• Creating technical content (tutorials, notebooks, blog posts)
• Exceptional written, verbal, and presentation skills
• Ability to collaborate across cross-functional teams
• Leadership capabilities
• Thought leadership capabilities
• Project management skills
• Multitasking skills

Location

• Remote

Work Type

• Full-time

Experience Level

• 5+ years of experience in the ML/AI startup ecosystem

Education Level

• Degree in Computer Science or a related field, or equivalent practical experience.

About the Company

• Georgian is a growth equity firm that seeks to invest in B2B technology companies, investing in ~6 new companies per year and supporting portfolio companies with capital and technical capability.
• Georgian has been active in analytics and applied AI since its founding in 2008 and invests across the AI technology stack, from infrastructure and applications to cybersecurity and developer tools.
• Georgian's in-house AI Lab of 10+ engineers and scientists assist portfolio companies on production AI deployment.
• Georgian's team brings together investors with machine learning professionals, software entrepreneurs and experienced operators aiming to provide a differentiated experience across the investment lifecycle.
• The firm manages $5.8B AUM (as of December 31, 2025) and has invested in more than 80 companies.

Equal Opportunity

• Georgian is dedicated to building an inclusive environment where everyone can thrive. We provide reasonable accommodations throughout our recruitment process to ensure every candidate has the opportunity to perform at their best.
• Innovation is at our core and we use artificial intelligence (AI) to support parts of our hiring process, such as screening and evaluating applications. These tools are designed to assist - not replace - human decision making and all final hiring decisions are made by our team. We regularly review our AI tools to help promote fairness and reduce the risk of unintended bias.