Gain runs a data and AI platform that helps investors, advisors and corporates source and evaluate private-market deals, built on Go, TypeScript, React, Python and PostgreSQL on GCP. Hiring leans heavily toward junior data and research roles across India, China, the US and the UK, and job posts repeatedly cite the lack of a single source of truth and scaling data workflows. That points to a company expanding its human-curated research layer faster than its tooling can absorb.
Gain operates a private markets platform that combines company and deal intelligence, AI-assisted workflows and clients' own data for deal sourcing, evaluation and execution. Its users include private equity investors, M&A advisors, consultancies and corporate development teams. The company is privately held, headquartered in New York City, and has 501–1,000 employees. It maintains offices in New York, London, Amsterdam, Frankfurt, Stockholm, Warsaw and Bangalore. Its specialties span private equity, M&A, deal origination, investment banking and advanced analytics.
Gain's engineering stack includes Go, TypeScript, React, Material-UI, Python and PostgreSQL on GCP, with Single Sign-On. Its teams also use data sources like Pitchbook, Preqin, FactSet, Bloomberg and Capital IQ, plus Slack, Notion and Figma.
Yes. Data is Gain's dominant hiring area, followed by research, with mostly junior and mid-level roles. Hiring velocity is accelerating across India, China, the United States and the United Kingdom.
Job posts point to a lenders product roadmap, vendor data integration, data workflow optimization, M&A transaction identification, deal opportunity mapping and ongoing company and investor profiling.
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Gain's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.