FloQast
Research & Development
At FloQast, our Research & Development team is the driving force behind our "by accountants, for accountants" ethos. We don’t just write code, we solve complex, real-world workflow challenges for financial teams worldwide. Leveraging cutting-edge cloud architecture and ethical, auditable AI, our engineers and product builders collaborate deeply to automate time-intensive processes and build scalable, highly secure solutions. Whether exploring new tech stacks or architecting next-generation features, our R&D culture is rooted in continuous learning, cross-functional camaraderie, and a shared passion for building high-impact software that our users genuinely love.



What People Are Saying About FloQast
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Team Support: Colleagues are often seen as talented, approachable, and willing to help across functions, with engineers citing supportive, knowledgeable teammates. Cross-team debugging, pair/mob programming, and a generally connected R&D environment are commonly described.
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Autonomy: Engineers often own features end-to-end with broad technical exposure. Roles are described as carrying meaningful responsibility and high ownership on fast-moving initiatives.
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Innovation & Products: R&D work is portrayed as technically substantive, spanning modern SaaS architecture and an AI-first product direction. Greenfield projects and impactful customer-facing problems are part of the remit.
What People Are Saying About FloQast
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Team Support: In Los Angeles, teams operate in a cooperative, cross-functional environment where engineers can readily tap DevOps, Product, and in‑house accounting subject‑matter experts for guidance. The local culture is presented as connected and collaborative rather than competitive.
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Work-Life Balance: The Los Angeles headquarters is part of a hybrid/remote‑flexible setup, and the company highlights recharge days and generous time‑off policies that extend to this hub. These practices are positioned to support sustainable pacing alongside a busy product roadmap.
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Innovation & Products: Engineering in the Los Angeles hub emphasizes modern practices like CI/CD, automated testing, and agile methods while building AI‑driven capabilities. This focus ties local R&D work to advancing the platform’s automation and machine‑learning features.
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At a glance
building the ai foundation and engineering culture
customer-centric ai development and testing
building trustworthy ai for accounting workflows



