Backend Department
Posted 9 Jun 2026
Advertised as “Backend Department Lead (Node.js)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- People management
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
Join us as a Backend Department Lead and drive the technical direction and development of the backend platform behind one of the fastest-growing AI products in the US market.
We are looking for a strong technical leader who combines deep expertise in high-load system architecture with hands-on engineering leadership and experience in building and developing high-performing backend teams. In this role, you will have real technical ownership of our AI Gateway, generative pipelines, and mission-critical backend services powering a product already used by more than 2 million people.
About Us:
Zeely is the agentic AI platform for creating, launching, and scaling paid ads.
Simply put: we've made the best AI solutions and marketing tools available to small and medium businesses — tools that used to be reserved for big brands with expensive marketing teams.
The next big step: a B2B solution for large marketing teams and enterprise clients — workflows, creative analytics, and full control over campaigns across the whole team. For companies where performance marketing already runs at scale and needs more efficiency and automation.
A few numbers that speak for themselves:
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4 years on the market — a stable, profitable company backed by international investors;
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6× growth over the past year;
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2,000,000+ businesses already use Zeely;
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#1 in its category in the US market;
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200+ specialists on the team;
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Markets: US + worldwide.
Your Key Responsibilities:
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Lead the Backend Department and set the technical direction for a team of 15+ backend engineers;
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Own backend architecture and drive key technical decisions around scalability, reliability, performance, and system design;
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Lead the evolution of our AI Gateway — the core platform layer powering text, image, voice, avatar, and video generation across multiple AI models and providers;
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Design and evolve AI orchestration pipelines, optimizing routing, fallback strategies, generation quality, latency, and cost;
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Scale backend services and infrastructure to support growing product traffic and increasingly complex workloads;
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Drive engineering excellence across code quality, architecture, security, observability, testing, and operational reliability;