Senior Market Researcher, AI & Research Ecosystem

Senior Market Researcher, AI & Research Ecosystem

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.

Location: Bay Area, California, United States / New York City, New York, United States / London, United Kingdom Work Model: Remote Experience: 810 years Total Compensation: $155,000$185,000 annually

About the Role

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 intelligencenot 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 12 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 perspectivesoften 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

• 810 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 technologiesrather 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.

Benefits

• 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