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fun.xyz

L2 Support Associate

New York, United States

Location
New York, United States
Work
Hybrid
Employment
Full-time
Level
Entry level
Function
Customer success & support
Pay
$85K – $125K a year
Posted
8 weeks ago

Pay and the market here

The top of this role’s range, $125K a year, is 39% above the median of $90K for entry level customer success jobs in New York (middle half $70K – $110K, 84 jobs that state pay).

755 customer success jobs open in New York: 14% remote, 251 posted in the last 30 days.

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About the role

Capital markets are undergoing a fundamental shift. Assets that live in fragmented systems and manual workflows are moving onto blockchains, systems designed to move and store value more transparently and efficiently.

While this unlocks more open and programmable financial systems, it also introduces significant complexity. For most users, interacting with this new infrastructure is still too difficult.

Fun builds the infrastructure that powers consumer-facing fintech applications, handling onboarding, account access, and money movement so users can interact with blockchain-based systems as seamlessly as they do with traditional finance.

For fintech builders, Fun provides a best-in-class onboarding and deposit stack that drives conversion and unlocks user growth. We operate at the intersection of financial infrastructure, complex engineering, and product experience.

About The Role

We're looking for an L2 Support Associate to work the support cases that require real technical depth and sound judgment, but don't need to pull an engineer off the roadmap. You'll investigate complex account and transaction issues end-to-end, handling cases that are detail-heavy and often time-sensitive. This is a highly technical role for someone who wants hands-on experience with blockchain data and direct exposure to how a fintech infrastructure works.

What You'll Do

  • Investigate Complex Support Cases: Work technically involved cases end-to-end: tracing transactions across chains, verifying account and wallet details, and resolving issues that don't have an obvious answer.
  • Build Clean, Auditable Case Files: Document the facts of every investigation clearly enough that a named decision owner can make a consistent call, and that the same case wouldn't get a different answer from a different reviewer.
  • Get Genuinely Technical: Use on-chain explorers, internal tooling, and blockchain data across multiple chains to understand exactly what happened in a given case.
  • Flag Patterns Upward: Surface recurring issues or policy gaps you notice in casework to the Support Lead and Head of Customer Support, so fixes happen at the policy level, not just ticket by ticket.

Required Skills and Qualifications

  • 2–3 years of experience in a technical, support, or operations role; this is an early-career role with a genuinely technical bar.
  • Comfortable navigating blockchain explorers (e.g. Etherscan, Solscan) and reading on-chain transaction data.
  • Meticulous and detail-oriented; these are cases with real financial and account consequences, and the investigation trail needs to hold up to scrutiny.
  • Strong written communication for documenting investigations clearly and consistently.
  • Comfortable working within defined approval frameworks rather than making unilateral calls on consequential cases.

Nice to Have

  • Prior exposure to compliance, fraud, or trust & safety workflows.
  • Experience at a fintech, payments, or crypto-native company.
  • Familiarity with AML/OFAC concepts, or interest in learning them on the job.

Why Join Us

  • Shape the future of payments and programmable money
  • Work with bleeding-edge tech in a domain where innovation moves fast
  • Join a mission-driven team focused on access, openness, and trust
  • Be a key contributor, not just a cog—your work will ship fast and matter
  • Collaborate with top-tier protocols, builders, and financial infrastructure providers

Location and Work Environment This role is primarily in-person at our Midtown, NYC headquarters. We work together Monday through Thursday for fast, iterative collaboration and optional WFH Fridays to reset and recharge.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This role has a base salary range of /yr, shared in accordance with NYC pay transparency guidelines. We aim to pay top-of-market and benchmark compensation regularly to remain highly competitive within our industry. In addition to base salary, we offer a strong total rewards package that may include equity ownership, performance incentives, and comprehensive benefits. Compensation is tailored by level, with offers based on impact, experience, and skillset, while maintaining internal equity across the team.

Source

Posted by fun.xyz on their own hiring page, jobs.lever.co. OptiTalent shows it as published, read 07 Nov 2026 11:46 UTC; the original is the reference.

View the original ad ↗

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