How to apply
Email [Confidential Information] with subject: Software Engineer - [Your Full Name]. Include your CV, GitHub/portfolio, and 2-3 examples of production systems you built or shipped. Applications that do not follow this format may not be reviewed.
About the role
Sunnystep is building an AI-native operating model where people and AI colleagues execute real business workflows with clear source data, controls, approvals, auditability, and measurable outcomes.
We are looking for an AI Finance Automation Executive to build and own end-to-end automation across finance operations. You will map fragmented processes, identify control risks, and turn them into dependable systems using code, APIs, workflow tools, and AI agents.
This is not a spreadsheet-maintenance or isolated RPA role. You will own complete workflows from discovery and control design through implementation, testing, monitoring, exception handling, and continuous improvement.
What you will own
- Map complete finance workflows from source data through approval, posting, reconciliation, and reporting.
- Identify bottlenecks and control risks.
- Build automations using code, APIs, workflow tools, and AI agents.
- Integrate accounting, banking, commerce, and internal systems through approved interfaces.
- Keep deterministic controls and human approvals where required.
- Test normal, edge, and failure cases.
- Monitor quality, exceptions, latency, and cost.
- Document operating procedures and convert incidents into stronger tests and guardrails.
- Partner with finance and engineering to prioritize and ship improvements.
What we are looking for
Candidates may come from either of two foundations:
- Strong accounting or finance experience with hands-on automation exposure or
- Strong software or automation engineering experience with demonstrated interest in finance.
- Understanding of accounting processes, data flows, reconciliations, and controls, or the ability to learn them rapidly.
- Practical experience with spreadsheets, databases, APIs, scripting, RPA, workflow automation, or AI tools.
- Strong analytical judgment, structured problem-solving, ownership, and the ability to work through ambiguous processes end-to-end.
Strong signals
- You have automated a finance or operations workflow that produced measurable time, quality, or control improvements.
- You can map a process from source data through approvals, exceptions, reconciliation, and reporting.
- You know when to use deterministic controls, AI judgment, or human approval.
- You can explain a failed automation, identify the root cause, and show the prevention mechanism.
- You use AI tools heavily while validating outputs and protecting financial controls.
Nice to have
- An accounting qualification or substantive finance operations experience.
- Python, TypeScript, or SQL.
- ERP or accounting-system integrations.
- Bank, payment, ecommerce, or Shopify data experience.
- Lark or Feishu automation.
- RPA, agent frameworks, or production AI workflows.
- Experience automating close, reconciliation, accounts payable, accounts receivable, cash management, or management reporting.
AI leverage expectations
Use AI tools and agents to accelerate workflow discovery, implementation, testing, exception analysis, and documentation while validating outputs and preserving financial controls, privacy, auditability, and human approval for sensitive actions.
What this role is not
- Manual finance processing without system ownership.
- Isolated spreadsheet macros or RPA scripts without monitoring and exception handling.
- AI experimentation without financial controls or auditability.
- Pure accounting work with no automation responsibility.
- Pure engineering work disconnected from finance outcomes.
Success in the first 90 days
- Map and baseline one high-value finance workflow.
- Ship one meaningful production automation with controls, tests, monitoring, and rollback.
- Reduce manual effort or cycle time measurably.
- Document source data, states, approvals, and exception paths.
- Establish a prioritized roadmap for additional end-to-end finance automations.
- Demonstrate growing expertise across finance operations and automation engineering.
How we work
- We start from the business outcome, source of truth, and control requirements.
- We use deterministic systems where they are more reliable.
- We treat testing, monitoring, exception handling, and recovery as part of the workflow.
- AI accelerates the work it does not remove financial accountability.
- We measure success through speed, accuracy, control quality, cost reduction, and lower operational attention.
