About The Position

Merciv is building the intelligence layer for enterprise commerce. We connect an organization's entire data landscape — internal systems, social signals, industry reports, consumer signals, consumer behavior — and surface the insights and automated workflows that used to take analysts weeks. We raised $14M in seed funding, spent two years in stealth building the right thing, and we're now launching publicly. Our platform already drives 8-figure gross margin improvements for some of the world's largest retailers. We're a lean, high-ownership team. If you want to see your work matter immediately, this is it.

Requirements

  • 5+ years of backend engineering experience building systems at scale
  • Deeply proficient in Go and/or Python, with strong distributed systems fundamentals
  • Worked with both SQL and NoSQL databases and know how to process data at scale
  • Run production systems on Kubernetes
  • Think in systems — can design for performance, scalability, and maintainability at once
  • Thrive on ambiguity and hard problems, not just well-scoped tickets

Nice To Haves

  • Former technical founders are encouraged to apply — we care more about what you've built than how long you've been building

Responsibilities

  • Design and scale backend services in Go and Python powering real-time autonomous intelligence for Fortune 500 clients
  • Architect data ingestion pipelines that handle millions of points across internal and external sources
  • Build APIs that serve our agentic AI platform at enterprise scale
  • Collaborate with ML/AI engineers to ship predictive models into production
  • Own system reliability — fault tolerance, observability, performance under load
  • Shape architectural decisions that define the long-term trajectory of the platform
  • Mentor engineers and raise the bar for backend engineering as we grow
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