Role Description
Weβre looking for a Research Marketing Lead to own how our research, benchmarks, and technical work are positioned, launched, and adopted across the AI ecosystem.
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Work closely with our research team to turn technical work into high-impact launches that earn attention, adoption, and citations.
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Develop a deep understanding of our research and methodology.
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Shape positioning and narratives.
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Establish a high quality bar for publication.
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Build go-to-market strategies that put our work in front of the right researchers, developers, AI labs, and technical audiences.
Qualifications
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Experience marketing, launching, or driving adoption of technical research, AI/ML products, developer products, benchmarks, evaluations, or similarly complex technical work.
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Strong track record developing and executing go-to-market strategies for technical audiences.
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Ability to deeply understand technical work and translate it into clear, credible, differentiated positioning and narratives.
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Strong understanding of the AI/ML research ecosystem, including major labs, research trends, benchmarks, evaluations, and technical communities.
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Exceptional written communication skills, with the ability to communicate effectively with both highly technical and broader audiences.
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Strong analytical judgment and the ability to evaluate whether technical claims, supporting evidence, and research materials are ready for external publication.
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Experience building relationships with researchers, technical leaders, developers, or AI communities.
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High ownership and the ability to take ambiguous initiatives from strategy through execution.
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Strong cross-functional skills and the ability to work closely with researchers while maintaining a high bar for technical accuracy and quality.
Requirements
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Background in AI, machine learning, computer science, or another technical field.
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Experience at an AI lab, AI-native company, research organization, developer-focused company, or highly technical startup.
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Experience working directly with research teams and technical leadership.
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Familiarity with academic publishing, AI benchmarks, evaluations, citations, and research dissemination.
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Experience launching technical content or research that achieved meaningful adoption, citations, community engagement, or industry impact.