Starboard is the AI-native operating system for global freight forwarding. We sell to mid-market freight forwarders (20–200 employees) across the US and Canada who use our autonomous AI agents to quote, source rates, and run pricing operations. Our quoting agent handles ~80% of quotes without human intervention with a 30-second response time, integrated against 150+ airline systems and dozens of carrier portals. We're backed by Eclipse Ventures and Garuda Ventures and based in Toronto / New York.
We've spent two years building the unsexy infrastructure under the AI — the rate sheet ingestion, the carrier scrapers, the integrations — that everyone else is now trying to replicate. This role exists to keep that infrastructure alive and growing.
What you'll do
This is a hybrid role. On any given day you'll be doing one of three things:
1. Owning carrier integrations and web scrapers (~50%). We scrape rates and tariffs from 100+ carrier portals. Logins break, schemas change, captchas evolve, new carriers get added. You own the health of this layer — monitoring,
fixing breakages within hours, and onboarding new sources as customer demand requires.
2. Acting as a forward deployed engineer for our top accounts (~30%). When a customer hits an edge case — a malformed rate sheet, an oddly structured surcharge, a workflow we don't yet support — you'll be the engineer who jumps on a call with their pricing manager, understands the problem, and either ships a fix or scopes it for the product team. You will speak to customers directly. You will write code that ships the same day.
3. Closing out the bug backlog (~20%). P2/P3 bugs that the core product team doesn't have cycles for. You'll triage with our APM, prioritize ruthlessly, and ship fixes.
What success looks like in 6 months
Carrier scraper uptime is at 95%+ and you've onboarded at least 10 recent carrier sources without engineering escalation
Customer-reported bugs in your queue have a median time-to-f
📌 Full Stack Engineer (India)
🏢 Starboard
📍 India
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