Remote | Research Marketing Lead — $250,000–$350,000/year

24-Mag•New York, NY

1d•Remote

About The Position

We are sharing a full-time opportunity for an experienced Research Marketing Lead with deep expertise in technical marketing, research go-to-market strategy, benchmark launches, publication quality, and industry partnerships to drive the positioning, adoption, and impact of advanced AI research. Selected professionals will own research GTM strategy end to end, translate complex technical work into credible and differentiated narratives, establish publication-readiness standards, and build distribution strategies that increase adoption, citations, and engagement across research and technical communities.

Requirements

Experience marketing, launching, or driving adoption of technical research
Strong background in AI/ML products, developer tools, benchmarks, evaluations, or comparable technical work
Demonstrated success developing GTM strategies for technical audiences
Ability to understand complex research deeply enough to assess claims and methodology
Strong knowledge of the AI/ML research ecosystem
Familiarity with major research labs, benchmarks, evaluations, and technical communities
Exceptional written communication and technical storytelling skills
Strong analytical judgement around research quality and publication readiness
Experience building relationships with researchers, technical leaders, developers, or practitioner communities
High ownership and ability to take ambiguous initiatives from strategy through execution
Strong cross-functional collaboration skills
Background in AI, machine learning, computer science, or another technical discipline is advantageous
Experience at an AI-native company, research organisation, developer-focused business, or highly technical startup is valuable
Familiarity with academic publishing, citations, benchmark dissemination, and research adoption is beneficial
Experience launching research or technical content with measurable adoption or industry impact is highly valuable

Responsibilities

Own launch strategy for research, benchmarks, evaluations, and technical releases
Define target audiences, positioning, channels, and distribution plans
Coordinate launches from initial planning through external release
Align research communication with broader strategic objectives
Drive adoption among researchers, developers, and technical practitioners
Establish a high bar for external publication of technical research
Review methodology, claims, results, and supporting materials for clarity and rigor
Partner with researchers to strengthen research packaging before launch
Identify weak or unsupported claims that require refinement
Ensure published materials remain technically accurate and defensible
Translate complex AI and ML findings into clear, differentiated narratives
Develop positioning that preserves technical depth while improving accessibility
Create messaging for research pages, benchmark releases, and technical content
Adapt communication for both highly technical and broader professional audiences
Maintain consistency across research, marketing, and launch materials
Build relationships with researchers, developers, technical leaders, and communities
Identify high-value audiences likely to use, reference, or build on published work
Support partnerships across research organisations and technical ecosystems
Monitor emerging AI trends, competitive research, and open questions
Surface opportunities where new research or benchmarks could have high impact
Track adoption, citations, engagement, usage, and qualitative feedback
Evaluate which research outputs resonate with technical audiences
Analyse performance across different launch and distribution strategies
Build feedback loops between external audiences and internal research teams
Use ecosystem insights to inform future benchmarks, evaluations, and research priorities