Merciv is building the intelligence layer for enterprise commerce. We connect an organization's entire data landscape — internal systems, social signals, industry reports, 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.

The Role

You'll build the core systems powering Merciv's agentic infrastructure — the data pipelines, APIs, and distributed services that enterprise clients depend on daily. This isn't a "contribute to a team" role. You own features from architecture to production.

You'll work closely with ML/AI engineers, product, and designers. The problems are hard, the surface area is real, and the impact is visible.

What You'll Do

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

Requirements

You have 5+ years of backend engineering experience building systems at scale

You're deeply proficient in Go and/or Python, with strong distributed systems fundamentals

You've worked with both SQL and NoSQL databases and know how to process data at scale

You've run production systems on Kubernetes

You think in systems — you can design for performance, scalability, and maintainability at once

You thrive on ambiguity and hard problems, not just well-scoped tickets

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