AI Growth Ops

Kraken

6d

About The Position

Payward is building an AI-native growth platform for Kraken, where agents identify opportunities and execute across paid, organic, and lifecycle channels, while human operators set rules, review and approve outputs, and handle exceptions. The platform serves multiple markets and languages and includes compliance checks and approval steps for the regulated industry.

The AI Growth Ops role owns day-to-day operations and quality assurance for the internal growth platform. The person in this hands-on, detail-focused role tests new and existing functionality, catches and documents problems, keeps approval and exception queues moving, monitors platform and agent performance, and reports findings. They work closely with product, engineering, and platform operators to keep the system reliable and continuously improve it.

Requirements

• Experience in QA, testing, operations, support, or analytics, ideally on a software product or complex system.
• Exceptional attention to detail and a habit of double-checking work.
• A structured approach to testing, including the ability to create and follow test plans and consider what could break.
• Clear written communication for bug reports and documentation.
• Comfort reading data dashboards and recognizing unusual figures.
• Ability to learn new tools and systems quickly and ask thoughtful questions.
• Uses AI tools regularly in their own work and is curious about their limitations and errors.
• Willingness to learn how to communicate precisely with AI systems and improve their outputs; engineering experience is not required.
• Reliability in maintaining routines, keeping queues clear, and communicating early when work is blocked.

Nice To Haves

• Experience testing software products or AI and LLM-based tools.
• Familiarity with Jira, Mixpanel, or similar tools.
• Exposure to marketing, CRM, or lifecycle messaging workflows.
• Interest in fintech or crypto.

Responsibilities

• Test the platform regularly, covering new releases, rule changes, edge cases, and regression checks.
• Find bugs and document them with reproduction steps, severity, and impact; track issues through engineering fixes and verify the fixes.
• Monitor platform performance and agent activity, flag anomalies, and escalate issues to the appropriate person.
• Work approval queues daily, keep items moving, and ensure nothing is left unreviewed.
• Review agent output against defined checklists and standards, and escalate unclear or risky items.
• Identify confusing or inconsistent workflows and raise them with the team.
• Write and maintain test plans, QA checklists, runbooks, and release notes.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed