Kustomer
Kustomer Offices
Hybrid Workplace
Employees engage in a combination of remote and on-site work.
Our teams work together closely at our office in Midtown Manhattan. The office is often used for intentional team onsite/offsites. Great news: dogs allowed!
Typical time on-site:
Not Specified
U.S. Office Locations
Global Office Locations
New York Office
Midtown Manhattan is where New York happens - between the lights of Times Square and the rails of Penn Station. A short walk to Broadway, Bryant Park, world-class dining and a commute that works from anywhere in the tri-state. We're surrounded by the kind of energy that only Manhattan delivers.
United Kingdom
Recently posted jobs
Artificial Intelligence • Enterprise Web • Machine Learning • Natural Language Processing • Software • Conversational AI • Automation
Build and ship full-stack features within small engineering Pods using Node.js, React, Golang, MongoDB, Elasticsearch, and AWS. Develop APIs, front-end interfaces, integrations, tests, and AI-powered capabilities. Collaborate with product, design, and senior engineers; participate in code reviews, production support, on-call rotations, and bug triage while growing technical, UX, and system-design skills.
Artificial Intelligence • Enterprise Web • Machine Learning • Natural Language Processing • Software • Conversational AI • Automation
Manage Kustomer’s internal technology stack, including Mac provisioning, zero-touch onboarding, hardware logistics, SaaS administration, and technical support. Resolve issues, improve self-service, automate TechOps processes, document procedures, manage vendors, and partner with Security on audits, compliance, and system improvements. Support Google Workspace, Okta, Jamf Pro, and related SaaS tools while helping scale secure, efficient internal operations.
Artificial Intelligence • Enterprise Web • Machine Learning • Natural Language Processing • Software • Conversational AI • Automation
Lead product strategy and roadmap for Kustomer's core platform. Gather customer and internal feedback, define features, collaborate cross-functionally, and drive end-to-end product delivery with focus on AI-enabled capabilities and measurable customer impact.
