- Conduct research on software and AI markets, including enterprise software, generative AI, cloud computing, semiconductors and AI infrastructure, cybersecurity, data analytics, automation, and vertical software.
- Attend industry conferences, expert consultations, product briefings, and technology events to gather targeted insights from executives, customers, developers, consultants, researchers, and other key stakeholders.
- Track AI adoption trends across industries, including use cases, spending patterns, implementation challenges, productivity impacts, and competitive positioning.
- Analyze software business models, customer demand, pricing trends, usage metrics, product roadmaps, go-to-market strategies, and competitive landscapes.
- Produce clear, concise written summaries and analytical memos that synthesize findings and highlight investment-relevant implications.
- Monitor market developments, regulatory changes, product launches, earnings commentary, technology shifts, and other signals relevant to software and AI companies.
- Support strategic research initiatives tied to long-term technology themes, including the commercialization of AI, cloud migration, automation, cybersecurity resilience, and the evolution of enterprise software.
- Collaborate closely with investment analysts to help frame research questions, identify information gaps, and develop differentiated perspectives on companies and sectors.
Strategic Intelligence: Software & AI Research Analyst (Denver)
D. E. Shaw · Hedge fund · Denver · Mid-level · Posted 2025-10-21
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