AI Growth Ops
About the role
The team
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.
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
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
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