Senior Market Researcher, AI & Research Ecosystem

Senior Market Researcher, AI & Research Ecosystem San Jose, California, United States ..+ 1 8 - 10 Years Permanent 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 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. 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 — Required 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 VP-level audiences. The ability to transform ambiguous ecosystem questions into structured, rigorous, and actionable analysis . A highly self-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 as arXiv, OpenAlex, Semantic Scholar, GitHub, and Hugging Face . Experience with bibliometric, citation, patent, or research-impact analysis . Previous experience at an AI research lab, deep-tech strategy group, venture-intelligence firm, technology research organization, or research and advisory firm . An advanced degree in a technical or scientific discipline . Familiarity with applied-science AI domains such as climate 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 match 12 days of PTO plus 12 paid holidays 3 weeks of paid parental leave 12 weeks of paid maternity leave Job Snapshot Updated Date 05-10-2026 Job ID

J_6107

Location Location San Jose, California, United States ..+ 1 #J-18808-Ljbffr Darwinbox Digital Solutions Pvt. Ltd.