https://app.dover.com/apply/Peakflo/577d81ef-4565-4516-810b-5cdc39630d66?rs=42706078
Peakflo is a B2B Fintech SaaS startup part of YCombinator W22, that just raised $4.1M in seed funding and was picked by Techcrunch as their top 10 favorites out of a cohort of 400 and also in a TechCrunch exclusive
Locations: Hiring in India (Remote)
🚀 Who we are and what we’re building
- Peakflo is a 2021 founded, Singapore headquartered B2B Fintech SaaS startup
- Finance operations at any high-growth SMB or startup is plagued with resource-intensive customer collections and vendor payment processes. Teams spend hundreds of hours in manual processes and thousands of dollars on transaction fees each month
- Peakflo has 2 key solutions: one is an Accounts Receivables Automation SaaS and the other is an Accounts Payable Automation SaaS, both targeted at startups and SMEs
- Peakflo with its simple API and one-click accounting software integrations, allows businesses to streamline their customer collections and vendor payments. More than 50 companies, ranging from early-stage startups to unicorns in SE Asia, use Peakflo each week to:
✅ Save 2000 man-hours/month on finance ops ⏳
✅ Get paid faster on customer invoices by 15-25 days 📈
✅ Cut vendor bill payment time by 50% 💰
✅ Automate three-way matching ♻️
⚙️ Operations at Peakflo
This role is ideal for anyone who is looking to rapidly advance their career and assume responsibilities in a fast-pace setting while working closely with the founders.
We're looking for a Fintech Operations who will streamline our Fintech SaaS operations, including Payment, Monthly Billing, Support operations, by increasing process maturity, transparency, observability, automation levels and scaling the teams involved.
💪 What you’ll do
- Analyze business processes, data quality issues, and operational bottlenecks to identify improvement opportunities.
- Design and develop scalable solutions to address recurring issues.
- Automate workflows, data transformations, and reporting using Python and SQL.
- Build and maintain dashboards, reports, and data monitoring frameworks.
- Collaborate with product, engineering, and operational teams to define requirements and implement solutions.
- Conduct root cause analysis and present findings along with actionable recommendations.
- Continuously improve existing automation, scripts, and data pipelines for scalability and efficiency.
- Document workflow logic, automation scripts, and solution design clearly for internal stakeholders.
👀 Who we’re looking for
- ~ 1 year of experience in analytics, automation, or data operations
- Good experience of building and using cursor agents (or any similar tool), connecting via MCP servers and building OPS AI agents.
- Strong proficiency in Python (data processing, automation scripts, API integrations preferred)
- Solid experience with SQL (joins, aggregations, performance tuning)
- Strong problem-solving and analytical mindset
- Ability to design solutions for scale rather than one-off fixes
- Ability to translate ambiguous requirements into structured workflows and logic
- Excellent communication and documentation skills
- Detail-oriented with a bias for action and continuous improvement
- Ability to work cross-functionally and manage multiple priorities efficiently
- Familiarity with version control (Git)
😎 Bonus points if you:
- Experience with cloud platforms (docker, k8s, GCP)
- Exposure to workflow automation, n8n, Airflow, dbt, or similar tooling
Benefits
🏡 Remote - We are building a remote friendly culture centered around trust and meritocracy
👩💻 Learning - Learn with a vibrant, young and ambitious team that has built a $200mn+ co acquired by Alibaba Group
https://app.dover.com/apply/Peakflo/577d81ef-4565-4516-810b-5cdc39630d66?rs=42706078
🚀 Y Combinator Company Info
Y Combinator Batch: W22
Team Size: 45 employees
Industry: Financial Technology and Services -> Payments
Company Description: Agentic workflows that automate your back‑office operations
💰 Compensation
Salary Range: $700,000 - $1,000,000
📋 Job Details
Job Type: Full-time
Experience Level: 1+ years
Engineering Type: Data science
🛠️ Required Skills
Python SQL Data Analytics