Forward Deployed Engineer, APAC

Dayos is the AI-first version of the systems integrators and application management firms that have supported enterprise ERPs for decades. We're building this company in Singapore, for the long term.

Hero, our platform, doesn't just watch your systems — it logs in, does the work, and validates the output inside Oracle, Workday, and SAP. At a Singapore enterprise, Hero closed 9 of 10 support tickets that had been open for an average of three weeks, taking roughly 10 minutes per request.

Enterprises spend billions every year supporting Oracle, Workday, and SAP. Much of that work is still manual. We're turning more of it into software. Three years building Hero. Enterprise customers already in production. Now we're closing our seed round and building the Singapore team from the ground up.

This is not a research role. It's not building internal tools no one uses. You'll build and customize AI agents on top of Hero, and every agent has a customer using it and an outcome measured against it.

Two sides of the work. For Pro plan customers, you'll build new agents customized to their specific workflows — these are the customers who signed a contractually committed 60% reduction in their ticket queue, and your code makes that commitment real. For Starter plan customers, you'll harden and improve the productized agents that ship out of the box. When one of them breaks against a real enterprise's data, you're the one who fixes it.

You'll spend real time inside customer environments, on calls with customer stakeholders, and looking at production data. You report directly to our founder.

You're not joining an established engineering machine. You're helping build one. You'll be among the first Forward Deployed Engineers on our team, and you'll shape the engineering standards, the deployment playbook, and the agent architecture that every hire after you will inherit.

This will be demanding. Real production systems break in ways you didn't plan for. Enterprise customers ask questions no textbook prepared you to answer. We'll give you unusual responsibility early, and we expect you to grow into it quickly.

Our founder led Finance Engineering at Robinhood through its IPO, overseeing the same enterprise stack Hero now operates across: Oracle, Workday, Coupa, and Anaplan. Before that he spent 20+ years in Oracle consulting, running enterprise implementations at Fortune 500 companies.

On the engineering side, you'll work alongside our AI Engineering Lead and our Head of AI Product Engineering, both of whom have shipped production agent systems and know where the sharp edges are. You'll spend your first year learning from people who have actually built this before.