About the Role
In this hands-on, detail-focused position, you will own the day-to-day operations and quality assurance (QA) for our internal growth platform. Your primary responsibilities will include testing the platform, identifying and documenting bugs, monitoring performance, managing approval queues, and ensuring effective communication between product, engineering, and operations teams.
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The Team
You will be part of a small, cross-functional group that works collaboratively to build and maintain an AI-native growth platform. This system is designed to automate operations in a regulated environment, ensuring compliance through built-in checks and balances. You will have opportunities to learn from engineers, product managers, and operators while contributing to continuous improvement and quality assurance.
Key Responsibilities
- Regularly test the platform, focusing on new releases, rule changes, edge cases, and regression testing to confirm that existing features continue to function properly.
- Identify, document, and track bugs, providing clear reproduction steps, severity assessments, and impact analyses, ensuring that fixes are verified upon completion.
- Monitor platform performance and agent activities, escalating any discrepancies to the appropriate team members.
- Manage daily approval queues, ensuring that all items are reviewed swiftly and nothing is overlooked.
- Assess agent outputs against established standards and checklists, flagging any unclear or risky outputs for escalation.
- Develop and maintain documentation, including test plans, QA checklists, runbooks, and release notes.
What You Bring
- Experience in QA, testing, operations, support, or analytics, preferably in a software or complex systems environment.
- Exceptional attention to detail, ensuring rigorous accuracy in your work.
- A structured approach to testing, including the ability to create test plans and anticipate potential issues.
- Strong written communication skills, enabling you to produce clear and understandable bug reports and documentation.
- Comfort with data; the ability to interpret dashboards and identify anomalies.
- Fast learning capabilities with new tools and systems, combined with the willingness to ask insightful questions.
- Familiarity with AI tools and a curiosity about improving outputs from AI systems.
- Reliability in routine management, maintaining clear queues, and communicating effectively when issues arise.
Nice to Haves
- Experience testing software products or tools based on AI and large language models (LLMs).
- Familiarity with tools like Jira, Mixpanel, or similar software.
- Exposure to marketing, CRM, or lifecycle messaging workflows.
- Interest in the fintech or cryptocurrency sectors.
Benefits and Commitment
- We value diversity and merit in our hiring process and encourage applications from individuals who may not meet all listed requirements but share enthusiasm and knowledge about crypto.
- We ensure a fair assessment process, considering a variety of factors, including skills assessments, experience, and interview performance, while adhering to local employment laws.
- We are an equal opportunity employer dedicated to preventing discrimination and harassment of any kind.
