5 months ago
Mountain View, CA, USAEntry Level
Responsibilities
- Learn how finance teams operate and identify opportunities to improve their workflows
- Build product features across the stack alongside experienced engineers
- Contribute to AI agent workflows that simplify and automate complex tasks
- Develop APIs and systems powering LiveFlow’s core platform
- Improve internal tooling and engineering workflows
- Write clean, maintainable code and learn production engineering best practices
- Support high standards of data security, reliability, and performance
Requirements
- Strong software engineering fundamentals
- Recent graduate or early-career engineer with 0–2 years of experience
- Evidence of building projects through projects, internships, open-source work, or similar experience
- Curiosity about AI, LLMs, or modern developer tools
- Product mindset focused on users and outcomes
- Ability to work in a fast-paced environment with ambiguity
- High ownership and willingness to learn quickly
- Experience with backend or frontend frameworks is preferred but not required
- Exposure to AI tools, LLMs, or workflow automation is preferred but not required
- Side projects or experimentation with new technologies are preferred but not required
Benefits
- Hybrid work arrangement with 3 days onsite in Mountain View, California
- Health insurance
- Pension plan
- MacBook and monitors
- Learning budget for books, courses, and conferences
- Unlimited vacation
- Competitive salary and equity
Tech Stack
Categories
About LiveFlow
LiveFlow builds an AI‑native finance platform that unifies accounting, AP/AR, and FP&A, and automates consolidation and reporting directly in Google Sheets and Microsoft Excel. It offers SaaS tools that sync with QuickBooks Online to deliver real-time dashboards and speed month-end close for finance teams. Founded in 2022 and headquartered in the San Francisco Bay Area, LiveFlow is privately held.