Kerja Sepenuh Masa, AI Product Ops, Associate di Emerge Insurance Federal Territory - Maukerja

About Emerge Insurtech

Emerge is an AI-native specialist insurance intermediary built around emerging risks, emerging leaders, and emerging Asia. We build the technology, the operations and the distribution that let insurance brands run digitally, across our own brands: Oyen (pet insurance), Foundation (property and engineering insurance), Contingent (SME insurance), Voyage (trade and freight insurance) and more.

Increasingly we build that with AI: automating what used to be manual, so the team spends its time on judgment calls instead of admin.

Why you should join us?

• If you want to build things yourself instead of writing specs and waiting months for engineers, you will.
• If you would rather spend a week removing a task than a year repeating it, this is the right place.
• If you want to own the tools you build, from the first prototype through rollout and maintenance, you will.
• If you want a path from owning Oyen's operations end to end to running more Emerge brands, and eventually managing the support team, that path is here.
• If you want to be part of a small team where your judgment carries weight from week one, you will be.
• If you are interested in disrupting a US$5 trillion industry and being at the heart of insurance going digital, this is it.
• If you enjoy a high-paced environment with some uncertainty but high opportunity, and the freedom to experiment and learn from mistakes, you will fit right in.

About the Role

This is not a support desk role, and it is also not a pure engineering role. We would call it a 'problem-solver' role.

Most insurance teams grow by adding people to a queue of claims, renewals and payment chasing. We are building the opposite. Oyen's claims, servicing, renewals and payments should run as a flow that automation and AI agents carry wherever they can, with a person stepping in only where judgment is needed.

This is an early-career role for someone who sees messy work and cannot help but want to fix it.

You will join our AI Product Ops team, run the day-to-day work yourself, and build the agents and internal tools that take that work off the queue. You bring the sense of what a case needs to get done: you spot what keeps breaking, specify the fix, test it, and catch what is wrong before it ships.

We are looking for someone who has already built something with AI and watched real people use it, and not someone who wants to learn AI or mostly uses ChatGPT to write emails.

But you have to understand the work before you can automate it. Not everything should become a workflow, so you decide when to automate, when to be the human checkpoint, and when to leave things alone.

You will work with our engineers, who handle the integrations and complex fixes, with our support team, who are on the front line with customers, and with insurers and vets, who can be slow and manual, so patience and persistence matter.

You pick whichever tools get the job done. Today that is mostly Claude, Codex and Retool, plus Python, GitHub workflows, cron jobs and APIs. Recent builds include a Slack agent that prices quotes in seconds, a daily claims brief that replaced the manual morning review, WhatsApp agents that answer customers around the clock, and a bot that chases insurers on overdue claims.

To be upfront, there is a lot of ops work and it does not go away, so if you want a pure building role, this is not the one.

What you'll do:

Running and automating work behind claims, servicing and renewals

• Handle claims, policy changes and renewals, and chase insurers and vets until each case is closed.
• Sort out payment issues such as failed collections, overdue follow-ups and write-offs, and escalate anything that is blocked.
• Make sure every case has a status, an owner and a next step.
• Catch ageing claims and data mismatches early, before they turn into customer complaints.
• When something breaks, flag it to our engineers with clear examples and steps to reproduce, then test the fix before it goes live.
  

Build new automations and AI Agents

• Build AI agents for customers and for the team, which take repeat work off the support team and make their day faster.
• Automate things properly instead of patching them, so they do not break again next month. Test them and write down what fails.
• Own the tools you build, from the first prototype through rollout and maintenance.

Making the work better

• Turn unclear problems into small improvements that we can test.
• Pitch your own ideas for what we should automate next.
  

What success looks like

In your first 3 months, you own a core workflow and have shipped 1 improvement that the team uses.

What we're looking for:

Must Haves

• You have built something with AI that people actually used, and not only a one-time ChatGPT experiment. Personal and university projects count.
• You think in systems, catch edge cases, and can trace why something broke.
• 0 to 3 years of experience. Fresh graduates are welcome to apply.
• You follow through, so when you say you will do something, it gets done.
  

Nice to Have:

• Hands-on experience with Python, APIs, GitHub or a tool like Retool.
• Experience in operations or logic driven work

The kind of person who'll thrive in this role and at Emerge

• You see messy work and cannot leave it alone.
• You are patient and persistent with partners who work slowly and manually.
• You are happy to be the human checkpoint when automation is not the right answer.
• You are fine with ops work being a big part of the job, because that is how you learn what is worth automating.