Location: Trade Tower, Thapathali, Kathmandu, Nepal
Type: Full-time (On-site, evening/night shift aligned to US Eastern Time)
Compensation: NPR 1,50,000 – 2,00,000 per month
THE SHORT VERSION
Work for a California-based company. Get trained — properly, on AI workflows, with mentorship — to run AI-automated finance operations that most finance professionals are still only reading about. No prior AI experience required. Real AI experience guaranteed. All you need is enthusiasm and a problem-solving mindset.
ABOUT COVU
COVU is building the AI-native operating stack for insurance distribution — combining software, services, markets, and capital. We partner with, operate, and acquire independent insurance agencies to turn fragmented service businesses into a scalable platform with data, automation, and product at the core.
COVU is backed by over $32 million in funding from Silicon Valley investors — a well-capitalized, growing US company. Our Kathmandu office is an early and expanding part of that growth: join now and you’re building the team, not joining the back of one.
WHY THIS ROLE IS DIFFERENT
Most finance jobs teach you yesterday’s workflow: manual entries, manual reconciliations, manual reports. This role is the opposite. Here, AI agents draft the journal entries, prepare the reconciliations, and assemble the reports — and YOU are the human-in-the-loop the machine answers to. You review, approve, correct, and improve AI-prepared work before it touches the books of a multi-entity US operation. Every correction you make becomes training signal. Over time you automate parts of your own job — and graduate to supervising more workflows. This is the career path forward-looking finance professionals are competing for. We train you for it.
WHAT YOU’LL DO
- Review AI-prepared journal entries, payables packets, receivables follow-ups, and reconciliation work in an approval queue — approve, correct, or escalate
- Work exception queues in our ticketing and messaging tools: investigate the unusual, resolve it, document the pattern
- Quality-check automation output against source data (book vs bank statements) — your sign-off is the control
- Write playbook specifications: the documents that define how each workflow runs and where humans step in
- Use AI tools (LLM-based agents, prompts, structured workflows) hands-on
THE TRAINING — STRUCTURED, NOT “FIGURE IT OUT”
- Weeks 1–2: US finance operations bootcamp — multi-entity accounting, month-end close, payables/receivables, audit-ready documentation
- Weeks 3–12: AI workflow training — how to operate, test, and correct LLM-based agents and workflows; prompt and playbook writing; human-in-the-loop discipline
- Ongoing: direct, hands-on mentorship from the person who built the automation system — not a training video. As your skills grow, your responsibilities grow with them: there is no fixed ceiling on this role
WHO YOU ARE
- 2–4 years in finance operations, accounting, data operations, or analytical back-office / BPO or QA work
- Excellent written and spoken English — clear written updates, clean tickets, precise documentation
- Detail-obsessed: you catch the one-rupee/dollar mismatch and want to know why it happened
- Fast with spreadsheets and new AI tools; excited by AI, not threatened by it
- Works independently without real-time oversight — comfortable owning a queue while US colleagues are offline
- Comfortable with a fixed evening/night schedule aligned to US Eastern Time (ET)
- Bonus: experience with any accounting or bookkeeping system, SQL basics, data-annotation/QA experience, BBA/BBS/ACCA in progress
SHIFT LOGISTICS & BENEFITS
- Working Hours: 9:00 AM – 6:00 PM US Eastern Time (ET).
- In Kathmandu, that translates to:
- 6:45 PM – 3:45 AM NPT during US Daylight Saving Time (roughly March–November).
- 7:45 PM – 4:45 AM NPT during US Wintertime.
- Shift Nature: This is a permanent night-shift role.
- Time Off: Leaves provision.
- In Kathmandu, that translates to:
HIRING PROCESS — UNDER 3 WEEKS END TO END
- Application + short written screen (a realistic exception-handling scenario, ~30 minutes)
- Group assessment — spot the errors in an AI-prepared finance packet
- Working session with the hiring manager and Kathmandu team
- Offer
Skills Required
- 2-4 years in finance operations, accounting, data operations, analytical back-office, BPO, or QA work
- Excellent written and spoken English
- Detail-oriented with strong accuracy in financial data
- Fast with spreadsheets and comfortable using spreadsheet tools
- Comfortable using new AI tools, LLM-based agents, and prompt workflows
- Ability to work independently and own a queue without real-time oversight
- Willingness to work permanent evening/night shift aligned to US Eastern Time
- Experience with any accounting or bookkeeping system
- Basic SQL knowledge
- Data-annotation or QA experience
- BBA/BBS/ACCA in progress
What We Do
Technology is disrupting the insurance industry and agencies need to take the initiative if they want to remain competitive in the upcoming disruption. COVU takes a holistic approach to ensure that the agency thrives by delivering a great customer experience through a combination of technology, real-time service, and sales support. Agency’s book experiences higher retention and more cross-sales leading to higher profitability for its owner(s). Agency producers get more time to prospect and sell to new higher-value customers.
