Unit
Support Operations Specialist
New York Office
Sponsorship not specifiedDetected 77 days ago
About the role
- The role is based in New York City.
- You will own the tools, workflows, and processes that power our support function - designing automations, leveraging AI to handle repetitive work at scale, and ensuring our customers get fast, accurate, high-quality resolutions.
Responsibilities
- Design, build, and continuously improve automated workflows that reduce manual effort across the support function
- Deploy and manage AI-powered tools to increase support capacity and quality
- Own the support tech stack (ticketing, knowledge base, integrations) and identify opportunities to make it smarter and faster
- Analyze support data to surface trends, diagnose root causes, and translate findings into actionable product and process improvements
- Partner with Engineering and Product to escalate systemic issues and track fixes through to completion
- We're hiring a Support Operations Specialist to join our growing team and own a wide range of client-facing responsibilities.
- The Support Operations Specialist brings an operator's mindset and a builder's instincts to this mission.
- We're repeat founders with technical backgrounds, working hard to build a successful company that we're proud to work at.
- Working at Unit means joining a global team on a mission to create a more equitable financial ecosystem.
Requirements
- 1-2 years of experience in support operations or building AI and automated workflows
- You are enthusiastic about fintech and creating the future of financial infrastructure
Compensation
- Our product moves $40b+ annually and processes 12m+ API calls daily.
Benefits
- We're a fast-growing team of individuals who are passionate about their work, see the big picture and always seek to empower our clients and their end-customers.
Company info
- Own the feedback loop between customers and Product making sure the voice of the customer drives our roadmap
This listing is sourced directly from Unit's careers page and normalized into a canonical job model.