API-Driven Customer Success Engineer

Axle Labs; New York (NY); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Equity and competitive compensation

Full benefits

Unlimited time-off

Annual team offsite

Job summary

Axle Labs seeks a Customer Success Engineer to stand up and grow the customer success function. You will be the primary contact for inbound questions, the backbone for GTM operations, and the driver of turning issues into repeatable systems.

You'll debug API issues, manage multi-threaded support scenarios, and create documentation and tooling to scale the function beyond a single person. The role blends technical literacy with operational excellence in a fast-growing insurtech startup.

Qualifications

• Technically fluent enough to read API docs and debug API issues.
• Operationally sharp to manage multi-threaded customer issues.
• Able to build tools, templates, runbooks to scale the function.
• Strong written communicator to document for teams and agents.
• Experience in API-first or developer-tools is a strong plus.

Responsibilities

• Own the support inbox. Define triage, macros, and weekly themes.
• Handle technical customer support for Axle interfaces, API & MCP.
• Build out and maintain the knowledge base with troubleshooting guides.
• Run GTM operational support including client provisioning and invoicing steps.
• Build lightweight tooling and automate recurring workflows.
• Act as the voice of the customer to Product and Solutions teams.

Skills

Technical fluency

Operational discipline

Strong written communication

Systems builder

Self-starter

Tooling experience

Customer support experience

Insurance/fintech familiarity

Tools

Retool

SQL

Scripting

Job description

Axle Labs seeks a Customer Success Engineer to stand up and grow the customer success function. You will be the primary contact for inbound questions, the backbone for GTM operations, and the driver of turning issues into repeatable systems.

You'll debug API issues, manage multi-threaded support scenarios, and create documentation and tooling to scale the function beyond a single person. The role blends technical literacy with operational excellence in a fast-growing insurtech startup.