Senior Market Researcher, AI & Research Ecosystem

Senior Market Researcher, AI & Research Ecosystem San Jose, California, United States ..+ 1 8 - 10 Years Permanent

Job Description

Location: Bay Area, California, United States / New York City, New York, United States / London, United Kingdom
Work Model: Remote
Experience: 8–10 years
Total Compensation: $155,000–$185,000 annually

Latent View is seeking a Senior Market Researcher, AI & Research Ecosystem to join a flagship engagement with the research organization of a globally leading technology company.

In this role, you will serve as the research-intelligence lead for the global scientific, technological, and academic ecosystem surrounding the organization. You will identify and map macro research trends, track advances from competitors, academic labs, and venture-backed AI companies, and translate complex technical signals into clear, executive-ready insights.

This is research intelligence—not traditional market segmentation
. Your focus will span foundation models, breakthrough research papers, leading technical conferences, open-source ecosystems, and applied AI across areas such as health, education, climate and weather, sustainability, and quantum computing.

You will operate with a high degree of independence, bringing together technical understanding, research rigor, creative intelligence-gathering, and exceptional communication skills.

• Own end-to-end research intelligence programs: Define research questions, structure the analytical approach, manage the workplan, and deliver high-quality outputs with minimal supervision and typically 1–2 check-ins per week.
• Monitor the AI/ML scientific landscape: Track emerging research labs, technical breakthroughs, scientific trends, and market shifts to identify developments relevant to research leadership.
• Benchmark strategic positioning: Assess developments presented at NeurIPS, ICML, CVPR, and other leading venues, as well as activity across open-source communities and venture-backed AI labs.
• Develop creative intelligence-gathering approaches: Use custom web scraping, bibliometric analysis, OSINT, alternative data sources, and automated tracking to collect and monitor high-value signals.
• Synthesize complex information rapidly: Analyze large volumes of external research and intelligence and translate them into executive briefings, landscape maps, ecosystem deep-dives, and strategic perspectives—often on tight timelines.
• Create executive-ready content: Write concise analytical memos and narrative documents and develop visually refined presentations for research leadership and senior executives.
• Represent the team independently: Participate confidently in internal and external meetings, communicate findings clearly, and serve as a credible research-intelligence representative.

• 8–10 years of experience in competitive intelligence, market research, technology strategy, research analysis, or a related field, with substantial exposure to AI/ML.
• Deep technical fluency in AI/ML: You can understand technical research, explain why a paper or development matters, assess what it does and does not demonstrate, and identify its potential implications.
• A demonstrated track record of analyzing scientific research trends, academic labs, technical conferences, open-source communities, AI startups, or emerging technologies
  —rather than primarily conducting general sales, marketing, or UX research.
• Exceptional executive communication and writing skills
  , with the ability to produce concise, insight-led memos and narrative briefs that lead with the answer.
• Strong presentation design and storytelling skills
  , with experience creating compelling materials for Director- and…