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 are often described as approachable and willing to jump in across teams, with practices like pair or mob programming and open technical debate fostering day-to-day help. Feedback suggests cross-functional collaboration with product, DevOps, accountants, and customer teams is a consistent strength within R&D.
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Innovation & Products: R&D work is frequently characterized as technically ambitious and customer-focused, including scalable platforms, APIs, and applied AI that emphasizes accuracy and auditability for real accounting workflows. Engineers are seen working close to users, shaping solutions to practical problems rather than building in isolation.
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Learning & Development: Knowledge sharing through code reviews, technical deep-dives, and mentoring is commonly highlighted, creating frequent opportunities to stretch beyond a narrow role. Feedback suggests end-to-end ownership and a high shipping cadence can accelerate skill growth for many engineers.
What People Are Saying About FloQast
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Team Support: Colleagues in Los Angeles are often seen as approachable and low‑ego, jumping in to debug, pairing or mobbing, and collaborating closely with product, customer-facing teams, and accounting experts. Feedback suggests cross-team help and open idea-sharing are common practices in this hub.
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Innovation & Products: Engineers in the Los Angeles hub work on an AI‑first platform, scalable architecture, APIs, and high‑performance applications tied directly to real accounting workflows. Feedback suggests this includes building features with accuracy and auditability in mind, keeping work close to customer impact.
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Autonomy: Engineers in Los Angeles are described as having meaningful ownership over their domains, often taking end‑to‑end responsibility and contributing to architectural decisions. Feedback suggests this is especially true in advanced areas like AI/ML, where teams shape how the platform evolves.
Recently posted jobs
Artificial Intelligence • Fintech • Software
Serve as the technical SAP integration expert in pre-sales engagements. Advise prospects on SAP landscapes, APIs, connectors, SFTP, SAML, data structures, and automation workflows. Support late-stage sales opportunities through demonstrations, technical discovery, proof-of-concepts, integration design, and customer-facing documentation. Collaborate with Sales, Solutions Consulting, Product, and Engineering teams to resolve technical blockers and communicate integration requirements.
Artificial Intelligence • Fintech • Software
Lead a highly technical backend engineering team building scalable SaaS systems and AI-powered accounting automation. Responsibilities include mentoring senior engineers and tech leads, resolving complex technical issues, guiding architecture and system design, reviewing code, operating distributed production systems, and driving AI-assisted software development using tools such as Cursor and Claude Code.
Artificial Intelligence • Fintech • Software
Lead the architecture, reliability, observability, automation, and scalability of FloQast’s cloud-native SaaS platform. The role owns SLOs, disaster recovery, monitoring, CI/CD strategy, infrastructure automation, and complex cross-team engineering initiatives. It also mentors engineers, establishes technical best practices, and partners across the organization to solve high-impact platform challenges.
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.
