Research Marketing Lead | Remote

Crossing Hurdles; United States; Remote; USD 250,000 - 350,000; Full time

Job summary

Crossing Hurdles is seeking a Research Marketing Lead to own end-to-end GTM for research, benchmarks, and AI evaluations. You will craft narratives that translate complex findings into differentiated stories while preserving technical accuracy and rigor.

You will partner with researchers and AI labs, shape packaging and launch materials, and drive adoption through targeted audiences and channels. This role emphasizes ownership and cross-functional collaboration in a remote setup.

Qualifications

• Marketing experience for technical research, AI/ML products, benchmarks or similar complex work.
• Proven ability to develop and execute go-to-market strategies for technical audiences.
• Translate complex technical work into clear, credible positioning and narratives.
• Strong understanding of the AI/ML research ecosystem, labs, trends and communities.
• Exceptional written communication for technical and broader audiences.
• Strong analytical judgment to evaluate readiness of claims and materials for publication.
• Experience building relationships with researchers, labs, developers, or communities.
• High ownership and ability to drive initiatives from strategy through execution.
• Strong cross-functional collaboration with researchers while maintaining technical accuracy.

Responsibilities

• Own research GTM end-to-end, developing launch and distribution strategies for research, benchmarks, evaluations and other technical work.
• Establish the publication-readiness bar for research and benchmarks, ensuring methodology and results are rigorous and defensible before launch.
• Develop positioning and narratives translating findings into clear, differentiated stories without sacrificing accuracy.
• Identify high-impact research opportunities by monitoring AI trends and what matters to researchers and practitioners.
• Shape research packaging and distribution, including pages, releases, content, and launch materials.
• Build relationships across the AI research ecosystem, including researchers, labs, developers, and communities.
• Drive adoption of our research and benchmarks by identifying audiences and channels most likely to use and reference our work.
• Measure research impact through adoption, citations, engagement, and qualitative feedback.
• Create feedback loops between market insights and the research team for future benchmarks and priorities.

Skills

Technical marketing

Go-to-market strategy

Technical storytelling

AI/ML ecosystem knowledge

Effective writing

Analytical judgment

Researcher relationships

Ownership

Cross-functional collaboration

Job description

• Own research GTM end-to-end, developing launch and distribution strategies for research, benchmarks, evaluations, and other technical work.
• Establish the publication-readiness bar for research and benchmarks, partnering with researchers to ensure methodology, claims, results, and supporting materials are rigorous, clear, and defensible before launch.
• Develop positioning and narratives that translate complex technical findings into clear, differentiated stories without sacrificing technical accuracy or depth.
• Identify high-impact research opportunities by understanding emerging AI trends, open questions, competitive research, and what matters to researchers and practitioners.
• Shape research packaging and distribution, including research pages, benchmark releases, technical content, launch materials, and other assets that drive discovery and usage.
• Build relationships across the AI research ecosystem, including researchers, AI labs, developers, technical communities, and influential practitioners.
• Drive adoption of our research and benchmarks, identifying the audiences, communities, and channels most likely to use, reference, and build on our work.
• Measure research impact, tracking adoption, citations, engagement, usage, and qualitative feedback to understand what resonates and where our work is creating value.
• Create feedback loops between the market and research, bringing ecosystem insights back to the research team to inform future benchmarks, evaluations, and research priorities.

Position:

Research Marketing Lead

Type:

Full-time

Compensation:

$250K - $350K/yr

Location:

Remote

Commitment:

10-40 hrs/week

Role Responsibilities

• Own research GTM end-to-end, developing launch and distribution strategies for research, benchmarks, evaluations, and other technical work.
• Establish the publication-readiness bar for research and benchmarks, partnering with researchers to ensure methodology, claims, results, and supporting materials are rigorous, clear, and defensible before launch.
• Develop positioning and narratives that translate complex technical findings into clear, differentiated stories without sacrificing technical accuracy or depth.
• Identify high-impact research opportunities by understanding emerging AI trends, open questions, competitive research, and what matters to researchers and practitioners.
• Shape research packaging and distribution, including research pages, benchmark releases, technical content, launch materials, and other assets that drive discovery and usage.
• Build relationships across the AI research ecosystem, including researchers, AI labs, developers, technical communities, and influential practitioners.
• Drive adoption of our research and benchmarks, identifying the audiences, communities, and channels most likely to use, reference, and build on our work.
• Measure research impact, tracking adoption, citations, engagement, usage, and qualitative feedback to understand what resonates and where our work is creating value.
• Create feedback loops between the market and research, bringing ecosystem insights back to the research team to inform future benchmarks, evaluations, and research priorities.

Requirements

• Experience marketing, launching, or driving adoption of technical research, AI/ML products, developer products, benchmarks, evaluations, or similarly complex technical work.
• Strong track record developing and executing go-to-market strategies for technical audiences.
• Ability to deeply understand technical work and translate it into clear, credible, differentiated positioning and narratives.
• Strong understanding of the AI/ML research ecosystem, including major labs, research trends, benchmarks, evaluations, and technical communities.
• Exceptional written communication skills, with the ability to communicate effectively with both highly technical and broader audiences.
• Strong analytical judgment and the ability to evaluate whether technical claims, supporting evidence, and research materials are ready for external publication.
• Experience building relationships with researchers, technical leaders, developers, or AI communities.
• High ownership and the ability to take ambiguous initiatives from strategy through execution.
• Strong cross-functional skills and the ability to work closely with researchers while maintaining a high bar for technical accuracy and quality.

Application Process

• Easy Apply on LinkedIn
• Check email for next steps
• Participate in resume evaluation & interview stage