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We serve consulting and private equity professionals at global strategy firms, boutique M&A advisors, and independent investment teams. These users are highly capable but chronically short on time. Their days are filled with administrative overhead: managing large volumes of diligence calls, cleaning up transcripts, extracting quotes, tracking entities across projects, and manually translating insights into decks; all under intense time pressure.
We remove this friction by automating call ingestion, transcript normalization, quote extraction, and insight structuring, allowing users to focus on high-impact thinking: deal sourcing, analysis, and recommendations that drive outcomes.
As a Backend Engineer, you’ll play a key role in designing, building, and scaling the core systems behind our AI-powered research platform. This is a deeply technical, systems-oriented position, well suited for engineers who enjoy reasoning about data pipelines, orchestration layers, and performance across distributed architectures.
As an early member of the engineering team, you’ll have significant ownership and influence. You’ll move fast, help define technical foundations, and work on problems that sit at the intersection of AI infrastructure and backend systems.
You will:
We’re looking for a product-oriented backend engineer who:
Nice to have experience with: