FloQast
All Teams
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.
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What People Are Saying About FloQast
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Team Support: Colleagues in R&D are often seen as quick to help across teams, with practices like pair/mob programming and cross‑function swarming to unblock work. Feedback suggests a "connected" environment where engineers can readily tap DevOps, Product, and accounting SMEs to solve problems.
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Learning & Development: Learning opportunities in R&D are highlighted through covered certifications, mentoring, and an active engineering blog that codifies practices. Feedback suggests engineers grow across the stack while sharing write‑ups and participating in deliberate, growth‑minded code reviews.
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Mission & Purpose: Work in R&D is closely tied to accountants’ real workflows under a "by accountants, for accountants" ethos. Feedback suggests engineers see clear user impact as features automate close, reconciliations, and related finance operations.
What People Are Saying About FloQast
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Team Support: In Los Angeles, R&D is described as a highly “connected” environment where colleagues jump in across engineering, DevOps, product, and other groups to debug and ship work. Feedback suggests cross‑team help is easy to access and ideas are openly discussed locally.
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Autonomy: Los Angeles features highlight an ownership mindset in R&D, with project responsibility rotating beyond senior levels and broad transparency into company goals and board‑level updates. Feedback suggests this gives LA engineers meaningful scope to drive outcomes.
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Learning & Development: Built In Los Angeles spotlights describe knowledge sharing through practices like pair/mob programming and internal learning opportunities. Feedback suggests this creates day‑to‑day mentorship and room to grow skills within the LA team.
Recently posted jobs
Artificial Intelligence • Fintech • Software
Design and maintain automated testing across data pipelines, ETL/ELT workflows, REST APIs, backend services, and cloud data warehouses. Validate data integrity, schemas, transformations, reconciliations, performance, and reliability for ERP data flows. Integrate tests into CI/CD, manage synthetic test data, investigate discrepancies, support releases, and mentor junior quality engineers while promoting data-quality-focused testing practices.
Artificial Intelligence • Fintech • Software
Own the architecture, scalability, reliability, and delivery of complex software systems. Lead cross-functional technical initiatives, design AI-friendly APIs and agentic workflows, improve performance and cost efficiency, partner with product managers, mentor engineers, influence hiring, and drive engineering quality and technical direction with substantial autonomy.
Artificial Intelligence • Fintech • Software
Generate new business for a SaaS accounting solution by prospecting CFO-office stakeholders, building outreach strategies, conducting qualification calls, scheduling demos, tracking activities in Salesforce, and collaborating with Account Executives, Marketing, and Sales Management. The role requires prior audit or accounting experience and offers a pathway into sales.
At a glance
building the ai foundation and engineering culture
Working on the AI and machine learning team at FloQast means joining a group of smart, driven engineers dedicated to developing the company's AI foundation. A key aspect of the culture is the complete autonomy engineers have over their respective areas. Currently, the team is focused on enhancing their core AI tool, FloQast Transform, to deliver significantly more value to end users. It offers an exciting environment for tackling the complex problems that will shape how the company builds AI for years to come.
customer-centric ai development and testing
Our AI engineers spend real time with actual accountants, our customers, to understand the work before we ever start building. That partnership is exactly why we built our eval harness, which tests every change we make to our agents before it ever reaches a customer. We care as much about getting it right as we do about building fast.
building trustworthy ai for accounting workflows
Transform AI Agents lets FloQast users use AI to build deterministic workflows that transform their data and automate the tedious, recurring stuff that eats up their day. And since FloQast's customers are accountants, accuracy and audibility are paramount. The AI has to do exactly what they'd have done and show how it did it or they won't trust it.
