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Developer Advocate AI/ML

CordTechnologies

San Francisco Hybrid permanent

Posted: December 29, 2025

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Quick Summary

We're looking for a Developer Advocate AI/ML to become the technical voice of Encord in the AI/ML developer community and leadership ecosystem.

Job Description

About The Role:

We're looking for a Developer Advocate AI/ML to become the technical voice of Encord in the AI/ML developer community and leadership ecosystem. You'll create compelling technical content, speak at industry events, and build authentic relationships with practitioners building production AI systems as well as technical leaders shaping AI strategy. You'll represent Encord at major conferences and technical meetups, engaging with everyone from engineers to Directors of AI/ML, VPs of Engineering, and CTOs. This role combines technical education with executive-level thought leadership - producing tutorials and sample code for practitioners while creating strategic content on AI infrastructure, team scaling, and organizational best practices for technical leaders. This is an excellent opportunity for an experienced ML practitioner to own a foundational developer relations function and grow your personal brand across all levels of AI/ML communities.

Responsibilities:

-Build real-world examples and reference projects demonstrating Encord workflows across AI/ML use cases - using these implementations as the foundation for technical content including blog posts, video tutorials, interactive notebooks, code samples, and guides
-Speak at industry conferences and AI/ML meetups - delivering technical workshops for practitioners and strategic talks for engineering leaders on building effective AI teams and infrastructure
-Build and nurture Encord's developer community across various social platforms - engaging with individual contributors, team leads, and technical executives
-Lead research on emerging trends in foundation models and AI/ML, translating developments into actionable insights for both practitioners and leaders
-Serve as the voice of developers and technical leaders within Encord, channeling feedback from engineers and strategic insights from VPs and CTOs to Product and Engineering teams
-Organize and host virtual meetups, community workshops, and executive roundtables that bring together practitioners and leaders around shared technical and organizational challenges

About You:

-You have 3+ years of hands-on experience as a Machine Learning Engineer, Computer Vision Engineer, or similar role building and deploying models in production
-You have a Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience
-You have demonstrated experience with data workflows - understanding the challenges practitioners face firsthand
-You're an effective communicator who can explain complex technical concepts clearly to engineers while also articulating strategic value and organizational impact to technical executives
-You're comfortable being the technical face of a rapidly growing company, representing Encord credibly to both hands-on practitioners and C-level technical leaders at industry events
-You're self-directed and entrepreneurial, able to identify opportunities and execute independently in a fast-moving startup environment
-You're passionate about helping developers solve problems and building technical communities while understanding the broader organizational challenges leaders face when scaling AI teams

What we offer:

- Competitive salary and equity in a hyper growth business.
- Strong in-person culture: most of our team is in the office 3+ days a week in our loft office in North Beach.
- 18 days annual leave a year + public holidays.
- Annual learning and development budget.
- Paid trips to visit prospects, attend conferences, host events across UK, Europe and US.
- Company lunches twice a week.
- Monthly socials & bi-annual off-sites.

Bonus:

Prior developer relations experience, active presence in AI/ML communities, experience engaging with technical executives, familiarity with MLOps tools and data platforms, or computer vision experience

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