Job description

Process & Automation Engineer - Operations Associate

At Skydo, we are looking for an exceptional Tier-1 engineering graduate (0–1 year of experience) to join our Operations team as a “Process Engineer”. Reporting to the Head of Operations and partnering with our Payment Ops, CX and Compliance leads, you will own loss elimination and automation across all three departments — turning manual work into tech and every recurring loss into a fixed, monitored system. During ramp-up and new launches you will also spend time hands-on in operations, learning each process from the inside so you automate what truly matters. As an early-stage startup, we expect the role to be broad-based and the candidate self-driven, growing into full ownership of the automation roadmap as we scale.

What you will do

Own the loss charter across Payment Ops, CX and Compliance — build loss trees, quantify every gap in TAT, accuracy, cost, manual effort and false positives, and drive it to zero at root cause
Own the automation charter — convert manual workflows, alerts, document parsing and reconciliation into tech, raising straight-through processing (STP) across all three teams
Lead high-impact efficiency, accuracy and AI projects end-to-end using a structured DMAIC approach; ship AI-led solutions (assist/deflection, summarisation, screening, extraction, anomaly detection)
Build analytical models, dashboards and real-time alerting (SQL / Metabase / BI) to make losses visible as they happen; partner with Product and Tech to deliver the automation roadmap
Spend ~20-30% of your time hands-on in day-to-day operations during ramp-up and launches, and embed each improvement into SOPs with monitoring

You’re a good fit if you have:

Experience: 0–1 year. Fresh graduates welcome — a track record of building (internships, projects, hackathons, competitive programming, automation/data work) matters more than years. Fintech/payments/quick-commerce/SaaS-ops exposure is a plus.
Education: A Tier-1 engineering college (IIT / BITS / NIT or equivalent) with a strong academic record; industrial engineering, computer science or a quantitative discipline preferred.
Automation & AI fluency: hands-on ability to automate and scale processes with tech, data and modern AI/LLM tooling.
Problem-solving & analytics: a first-principles, problem-solving thinker with strong data and dashboarding skills.
Engineering fluency: comfortable reading and understanding code across any language - able to trace logic, debug, and reason about how systems work without needing language-specific expertise. Can pick up new stacks quickly and collaborate with engineers.
Dashboarding & visibility: building and maintaining dashboards will be a core part of the role - you'll own end-to-end visibility into operations and metrics, turning raw data into clear, real-time views the team can act on.
Ownership & hunger: high ownership and a builder’s bias; willing to go hands-on in operations during ramp-up and driven to grow into full charter ownership.

The mindset we’re seeking:

An automation-first, zero-loss mindset — a strong bias to digitise, standardise and productize manual workflows, and to size impact before you build
Hands-on ability with SQL, BI/dashboards, MS Excel and AI/LLM tools, plus scripting/APIs to prototype and ship — demonstrated through projects, internships or coursework (mandatory)
A builder’s bias and fast learning curve; eagerness to get hands dirty in operations to understand a problem before automating it
Strong analytical, first-principles problem-solving and cross-functional communication (ops, product, tech, compliance); discretion, diligence and high ownership

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