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Leverage AI in New York City seeks a Technical Support Engineer to provide high-quality support for our platform and ensure customers maximize value. You will troubleshoot, enable customers, and contribute to process improvements, acting as the first contact for technical issues and coordinating with internal teams to resolve complex cases.
The ideal candidate thrives in a fast-paced environment, communicates clearly, and is passionate about delivering an exceptional customer journey across our
At Leverage, we're transforming supply chain operations for mid-market industrial manufacturers. Our platform automates procurement workflows by streamlining purchase orders and improving supplier performance. Backed by top-tier investors and growing fast, we are committed to revolutionizing the way supply chains operate, delivering unmatched visibility and operational efficiency to our customers.
We don't just build tools—we solve real-world problems, fast. We believe in extreme ownership, high standards, and assembling a championship team that thrives in a fast-moving environment.
We're looking for a Technical Support Engineer to provide high-quality support for our platform and ensure customers get the most out of their experience. This role combines technical troubleshooting, customer enablement, and process improvement to deliver an exceptional customer journey. You'll act as the first point of contact for technical issues, collaborate with internal teams to resolve complex cases, and contribute to the continuous improvement of our systems and processes.
The ideal candidate is a resourceful problem-solver who thrives in fast-paced environments and is passionate about providing exceptional customer support.
At Leverage, ownership is non-negotiable - we're building a team of problem-solvers and self-starters who act fast and drive results. If you're passionate about empowering customers, solving real-world problems, and being part of a mission-critical team, this is the role for you.
What you’ll receive:
Location: NYC-based with hybrid flexibility preferred, remote on a case-by-case basis.