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Replit is seeking a Support Systems Lead to design and own the tools that let support scale with our rapidly growing product. You will configure Zendesk, automate workflows, and manage the tech backbone behind self‑service and AI‑driven support.
You’ll partner with Engineering on requirements, build entry points, and drive system improvements to unblock teams. This role is NYC‑based with growth potential in leading a future team.
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
As a Support Systems Lead at Replit, you’ll build and own the systems that let support scale as fast as the product does. You’ll own the tools our team works in every day, the technical setup behind self‑service and AI‑driven support, and the infrastructure that keeps all of it current as Replit ships. Replit is at the forefront of AI‑driven software development, and how we support customers is constantly evolving. You’ll shape how our support systems adapt to new products, new surfaces, and AI‑assisted workflows, operating effectively in ambiguity and turning ad‑hoc fixes into infrastructure the whole team can rely on. You’ll combine hands‑on technical depth with systems thinking to keep builders moving, whether they get unblocked through self‑service, an AI agent, or a person. This is an individual contributor role to start, with room to grow and build out a team as support scales.
This is a full‑time role that can be held from our NYC office. This role has an in‑office requirement.
Full‑Time Employee Benefits Include:
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Interviewing + Culture at Replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non‑traditional backgrounds.