Protege
Technical Product & Content Marketing Lead
Remote. Posted 2 months ago
The role
This person will translate complex technical ideas into clear messaging and content. They will own end-to-end launch campaigns and build go-to-market assets to support the commercial team.
What you will do
- Translate product efforts into public-facing positioning, content, and collateral.
- Turn technical research into buyer language explaining data usability and quality.
- Own end-to-end launch campaigns for Product, DataLab, and Commercial releases.
- Write technical thought leadership content for AI development.
- Build product marketing strategy for the AI model development lifecycle.
- Build core go-to-market assets including decks, webinars, videos, and case studies.
- Partner with the Head of Community to create assets for engagement and events.
- Partner with Product, DataLab, vertical GMs, and Sales to align market story with delivery.
Required qualifications
- Great writer.
- Ability to translate complex technical concepts like AI data, ML pipelines, and model performance into messaging for technical buyers.
- Narrative experience in written, visual media, podcast, and IRL content campaigns.
- Experience managing end-to-end product, vertical, or content-led launches with cross-functional teams.
- Experience partnering with sales teams on strategic deals and shaping custom narratives.
- Ability to thrive in ambiguous startup environments and ship strong V1s quickly.
- Hands-on approach to using growth channels to distribute work.
- Experience creating written content for technical or B2B audiences.
- Ability to balance strategic thinking with tactical execution.
Nice to have
- Experience in AI/ML products and data platforms
- Understanding of foundation models, AI training, or ML workflows
- Former technical background (engineer, solutions engineer, data scientist)
- Experience managing multiple verticals/product lines simultaneously
About the company
Protege is building a platform to facilitate the secure, efficient, and privacy-centric exchange of AI training data. The company is a lean, fast-moving team of builders backed by world-class investors.