About Merciv
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
You May Be a Good Fit If
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
Bonus points for:
Experience with graph or vector databases
Familiarity with RAG architectures and the GenAI stack
Real-time data processing and streaming
ML/AI concepts, especially forecasting or NLP
How We're Different
Most AI platforms bolt intelligence onto existing workflows. We're building the intelligence layer from scratch — connecting every data source an enterprise touches and making it actionable in real time. Our agentic infrastructure doesn't just surface insights; it acts on them. That's a harder problem, and it's the one we're solving.
Why Merciv
Our platform drives 8-figure gross margin improvements for the world's largest retailers — you'll see real impact fast
Hard technical problems at the intersection of agentic AI, distributed systems, and enterprise data
Small team, massive surface area — you own what you build
Competitive salary, meaningful equity, benefits, flexible PTO
A culture built on craft, intellectual honesty, and real human connection
Interview Process
Application reviewed by a human
Intro call with our recruiting team
Technical conversation with an engineering lead
On-site — meet the team, work through a real problem
We Encourage You to Apply
Strong candidates don't always meet every qualification listed. If you're excited about this problem space and have the engineering fundamentals, we'd rather talk to you than not. We're building a diverse team on purpose — different perspectives make the product and the company better.
Logistics
On-site in NYC, 3-5 days/week
Visa sponsorship available
Applications reviewed on a rolling basis
Merciv is building the future of autonomous commerce. We're committed to assembling a diverse team of builders who want to revolutionize how the world does business.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.