Product Operations Internship

Join Flagright, a leading company in real-time financial crime prevention. As a Product Operations Intern, you will work closely with customer-facing and product teams to gather insights, support customer interactions, document processes, and help translate real-world feedback into product improvements. This is a high-ownership role for someone early in their career, offering the opportunity to make a meaningful impact and potentially convert to a full-time position.

• Support customer implementations and onboardings alongside Customer Success Managers (CSMs) across environment setup, configuration, and go-live validation.
• Build internal tooling to improve Customer Success and product operations — automate repetitive workflows, create tracking systems, and eliminate manual overhead that slows the team down.
• Collaborate with Product and Engineering to translate customer pain points and feature requests into clearly scoped requirements.
• Are resourceful — they figure things out with whatever tools are available
• Have been knocked down before and gotten back up
• Want to work with no-BS people building something important
• Learn fast because they're hungry
• Have strong opinions and can defend them
• Comfortable jumping on customer calls and representing the team professionally
• Curious about how B2B SaaS products work and eager to learn across product, operations, and customer success
• Detail-oriented and organized — able to juggle multiple tasks and follow through without reminders
• Currently pursuing or recently completed a degree in Business, Product Management, Computer Science, Finance, or a related field
• Strong written and verbal communication skills — you can write a clear, professional message under time pressure
• Able to work independently and proactively raise blockers rather than wait for direction
• Familiarity with anti-fraud, AML, compliance, or fintech concepts
• Prior internship or project experience in a product, operations, or customer-facing role
• Proficiency in using data analysis tools and techniques to identify trends, patterns, and opportunities for optimizing product operations
• Interest in AI, machine learning, or intelligent automation as applied to compliance or risk