Aleph is an AI-native platform for Financial Planning & Analysis (FP&A). We operate in an established software category with a multi-billion market but no clear winner. Our growth has come from product velocity and customer outcomes, not marketing spend, and the results speak for themselves. Aleph was founded by Albert Gozzi and Santiago Perez De Rosso, two technical founders with backgrounds from Stanford and MIT and experience working at top-tier companies such as Google, Microsoft, and Bain & Company. We’re backed by top VCs (Bain Capital Ventures, Khosla Ventures, YC, Picus Capital), and work with customers like Webflow, Turo, Notion, Zapier, and many others. What we’ve built so far is the most seamless way to centralize all of a company's financial data – think expenses from Quickbooks or Netsuite, pipeline forecasts from Salesforce – and bring it into the tools finance teams are already using. But the vision goes way beyond that: Aleph is AI-native at its core, automating reporting, variance analysis, and forecasting through intelligent agents. We’re building the always-on decision layer for modern businesses. We’re moving fast, shipping constantly, leaning into AI to make the product smarter with every release, while also applying AI to how we sell, support and scale. Our churn is low, growth is strong, and the pace keeps accelerating. We are hiring remotely across the Americas (United States, Canada, LATAM). We're looking for a Staff-level software engineer to join our growing engineering team. You will partner with our technical CEO, CTO, and other members of the engineering team to build critical software with an outsized impact on our users and our business. This is an exciting opportunity for someone to come in as an early member of the team and drive the development of our platform from the ground up. Specifically, this role sits on our Core Product team, which is responsible for our web app and add-ins. You will work on user-facing functionality that allows finance and operations teams to extract insights from their data and make better decisions.
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Career Level
Senior
Number of Employees
11-50 employees