Q

Qualitate

AI-driven primary intelligence platform for research

Lead Research Analyst - Data, Cloud & AI

Data AnalysisUpdated on Nov 14
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 3 years of professional experience creating data-driven research, such as equity research, financial analysis, market research, or consulting.
  • Understand the fundamental research workflow, including how funds source ideas, build conviction through primary research, size positions, and manage risk, and explain how Qualitate fits into that process in terms relevant to buyers.
  • Know which metrics matter to software and AI investment decisions, including net retention, seat-versus-consumption dynamics, and the divergence between reported growth and underlying usage.
  • Have in-depth knowledge of AI and machine learning operations, databases and data management, data integration and access, data governance, business intelligence and advanced analytics, and adjacent cloud services and infrastructure.
  • Have long-form and short-form writing expertise to synthesize data into clear, digestible, forward-looking insights, and be comfortable speaking with investors and corporate clients as an authority on data infrastructure and AI.
  • Regularly test and refine AI tools and agents, incorporate them into daily workflows to automate work and increase productivity, and share learnings with the team.
  • Be proficient in managing and analyzing large datasets.
  • Distinguish genuinely new budgets from relabeled budgets and assess whether opportunities are likely to materialize, using practitioner evidence.
  • Use AI to accelerate learning, pressure-test ideas, automate analyses, and expand the scope of rigorous coverage.

Responsibilities

  • Use proprietary datasets to uncover company and market trends across AI and machine learning operations, databases, data integration and access, and data governance for investment funds and corporate clients.
  • Develop forward-looking analyses of industry dynamics, key growth drivers, and demand shifts, including enterprise AI budget durability, competitive displacement between model and platform vendors, data consolidation, and the movement of analytics and inference workloads across cloud environments.
  • Create high-impact thought leadership content for the newsletter and client communications.
  • Communicate actionable insights to clients and prospects through calls, webinars, and events.
  • Apply domain expertise and research judgment to improve the fidelity of the research methodology, and partner with product and engineering teams on design of the AI-native research platform.
  • Monitor emerging trends, technologies, and innovators in data infrastructure and AI, including agents entering production, inference economics, lakehouse and vector architectures, and open-source models challenging leading foundation models.
  • Own the coverage strategy and research direction for data management and AI, developing the existing data collection into a research product and iterating coverage as priorities evolve.

Desired Qualifications

  • SQL experience is strongly preferred.

About the Company

Qualitate

AI-driven primary intelligence platform for research

Qualitate provides an AI-powered primary intelligence platform that automates and scales expert research for investment and strategy teams. Its AI Moderator runs thousands of one-on-one expert interviews in parallel, handling study design, recruitment, moderation, and insight generation, and it outputs quantified time-series data with a growing transcript library to continually train the AI. By vertically integrating panels, technology, and insights, it replaces fragmented research with a single continuous intelligence solution used by enterprises, hedge funds, PE, VC, and asset managers for competitive intelligence and due diligence. Its goal is to help clients make faster, data-driven decisions by delivering high-quality intelligence in days at a lower cost than traditional methods.

Company size
11-50
Company stage
Series A
Total funding
$32M
Headquarters
New York City, New York
Founded
2024

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