Senior Market Researcher, AI & Research Ecosystem

Job Description: Senior Market Researcher, AI & Research Ecosystem

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

About the Role: LatentView is seeking aSenior Market Researcher, AI & Research Ecosystemto join a flagship engagement with the research organization of a globally leading technology company. In this role, you will serve as theresearch-intelligence lead for the global scientific, technological, and academic ecosystemsurrounding 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 isresearch 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.

What You’ll Do: 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.

What You Bring: Required8–10 years of experiencein 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 analyzingscientific 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 VP-level audiences. The ability to transformambiguous ecosystem questions into structured, rigorous, and actionable analysis .A highlyself-directed, fast-moving working style, with strong ownership and the ability to deliver independently. Based in, or willing to work from, the Bay Area, New York City, or London, with authorization to work in the relevant location.

Nice to Have: Hands-on data-collection and research-automation experience, including Python, web scraping, APIs, or automated tracking tools .Experience working with research and technology data sources such asar Xiv, OpenAlex, Semantic Scholar, GitHub, and Hugging Face .Experience withbibliometric, citation, patent, or research-impact analysis .Previous experience at anAI research lab, deep-tech strategy group, venture-intelligence firm, technology research organization, or research and advisory firm .Anadvanced degree in a technical or scientific discipline .Familiarity with applied-science AI domains such asclimate and weather, health, materials science, sustainability, or quantum computing .Compensation Total compensation pay range: $155,000–$185,000 annually This range reflects base salary including bonus, equity, commission, and benefits. It represents a good-faith estimate for this level and location and may vary based on experience, skills, qualifications, and where the role is performed. Medical, dental, and vision insurance 401(k) with 4% company match12 days of PTO plus 12 paid holidays3 weeks of paid parental leave12 weeks of paid maternity leave

Job Snapshot: Updated Date 05-10-2026 Job ID J_6107 Location Location San Jose, California, United States ..+ 1