Los Angeles, CA
AI-powered accounting workflow automation platform
FloQast builds an AI-driven platform that automates accounting close processes like reconciliations, checklists, and task management. It serves accounting teams at mid-market and enterprise companies to reduce manual work, improve accuracy, and elevate accountants to strategic roles. The tool provides audit-ready workflows built by accountants for accountants.
Supports corporate accounting, financial close, reconciliations, technical accounting, controls, audit readiness, and process improvement in a SaaS environment. Requires 3–5+ years of progressive accounting experience, a bachelor's degree, strong Excel and US GAAP knowledge, and ideally NetSuite experience.
Principal Software Engineer responsible for architecting FloQast Transform’s distributed platform, AI agent infrastructure, and visual workflow capabilities. The role requires 15+ years of enterprise software experience and deep expertise in Go, Node.js, MongoDB, AWS, APIs, and scalable workflow orchestration.
Architects and delivers scalable backend platforms, distributed systems, and AI-agent infrastructure for accounting automation. The role requires 12+ years of enterprise software experience and deep expertise in Go, Node.js, MongoDB, AWS, APIs, workflow orchestration, and secure SaaS architecture.
Architect and deliver scalable backend platform capabilities for AI agents and visual workflow automation. The role requires 10+ years of enterprise software experience, deep expertise in Go, Node.js, MongoDB, and AWS, and the ability to lead technical strategy and mentor engineers.
Technical Support Engineer focused on integrations for FloQast’s Accounting Transformation Platform. Troubleshoot complex integration issues (ERPs, SSO, banks, APIs), perform configuration and deep-dive debugging, and collaborate cross-functionally to unblock customers. Requires 2+ years technical support experience and strong troubleshooting skills.
Senior Software Engineer building and scaling production AI products including chatbots, document processing, and agentic workflows for an accounting automation platform.
Develop and execute regional field marketing programs to generate demand, accelerate pipeline, and drive revenue through events, campaigns, and sales alignment. Requires 3+ years field/partner marketing and 3-5 years B2B experience.
Own product strategy and execution for FloQast's SAP integration, translating SAP FI-CO domain expertise into integration designs and driving adoption across SAP ERP environments.
Own end-to-end ecosystem integration priorities: research source systems, define integration requirements, map data into FloQast's platform, and coordinate with Product, Engineering, and Alliances to deliver production integrations.
Deploys AI agents to automate accounting workflows for corporate customers, conducts training and workshops, troubleshoots configurations, and drives adoption. Requires 2-4 years accounting experience, familiarity with finance tech, APIs, and ERP systems.
Builds and manages end-to-end data integrations for customer source systems into FloQast's platform using Data Studio, handling extraction, transformation, validation, and publishing. Requires 3+ years in data integration with strong SQL/Python/scripting skills and cross-functional collaboration.
Leads design strategy for AI-powered accounting platform, translating complex AI into intuitive experiences, evolving design systems, and mentoring designers. Requires 7+ years in enterprise SaaS design with strong portfolio and AI expertise.
Leads quality strategy, test automation, and performance engineering for complex products and backend platforms. Requires 5+ years of software quality engineering experience, strong JavaScript/TypeScript or Java skills, and expertise in performance testing, CI/CD, and MongoDB.
Leads architecture and evolution of a large-scale data platform spanning ingestion, lakehouse storage, streaming, governance, and access. Requires 10+ years of software engineering experience, deep production expertise with Spark and distributed systems, and strong cloud data-platform experience.