Building the Future of Open Finance
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The team
Growth at Kraken is being rebuilt around an AI-native platform. Instead of people manually building audiences, writing copy, adjusting budgets, and scheduling sends, agents find opportunities, make decisions, and execute across paid, organic, and lifecycle channels. They learn from every result and keep going. People still run the system. Operators use a central hub to set the rules the agents follow, review and approve what they produce, and handle exceptions when something doesn’t fit. The platform also has to work across many markets and languages, and it operates in a regulated industry, so there are compliance checks and approval steps built in. The team is a small, cross-functional group of growth, product, and engineering people who build this platform and run it day to day.
The opportunity
You will own day-to-day operations and QA for our internal growth platform. You test it, catch problems before our customers do, keep approvals and exception queues moving, and report on how it’s performing. You will work closely with product, engineering and operators to make sure the platform works and keeps working.
- This is a hands-on, detail-focused role. You will spend your days in the product, testing what’s new, checking what should already work, and writing up what you find so it gets fixed.
- Test the platform regularly. Cover new releases, rule changes, and edge cases, and run regression checks to make sure existing features still work.
- Find bugs and document them clearly, with steps to reproduce, severity, and impact. Follow them through until engineering fixes them and you’ve verified the fix.
- Monitor platform performance and agent activity, flag anything that looks wrong, and escalate it to the right person.
- Work the approval queues daily. Keep items moving and make sure nothing is left unreviewed.
- Check agent output against defined checklists and standards, and escalate anything unclear or risky. Note where flows are confusing or inconsistent, and flag them to the team.
- Write and maintain documentation: test plans, QA checklists, runbooks, and release notes.
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job.
What you bring
- Experience in QA, testing, operations, support, or analytics, ideally on a software product or complex system
- Exceptional attention to detail. You notice what others miss and double-check your work.
- A structured approach to testing. You can create and follow a test plan, and think about what could break.
- Clear written communication. Your bug reports and documentation should be easy for anyone to follow.
- Comfort with data. You can read a dashboard and tell when a number looks off.
- Fast learner. You pick up new tools and systems quickly and ask thoughtful questions.
- AI-native habits. You use AI tools in your own work every day, and you’re curious about where they get things wrong.
- Prompt engineering curiosity, you don't need to be an engineer, but you are willing to learn how to communicate with AI systems precisely and improve their outputs
- Reliability. You keep to a routine, keep your queues clear, and tell people early when something is stuck.
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
