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FlagrightPosted 1 week ago

Product Operations Intern

HybridLondon, England, United Kingdom

Full TimeEntry LevelBachelors DegreeSmallSaaS

Job Summary

Support customer implementations and onboarding across environment setup, configuration, and go-live validation alongside customer success managers. Build internal tooling to automate repetitive workflows, create tracking systems, and eliminate manual overhead. Identify process gaps, design fixes, and own knowledge base infrastructure to ensure accurate documentation. Maintain signals and reporting layers to surface at-risk accounts and track adoption KPIs. Collaborate with Product and Engineering to translate customer pain points into scoped requirements and support QA for new feature releases. Work independently to raise blockers and contribute meaningfully to real-time financial crime prevention solutions.

Required Qualifications

  • Currently pursuing or recently completed a degree in Business, Product Management, Computer Science, Finance, or a related field
  • Strong written and verbal communication skills
  • Detail-oriented and organized
  • 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
  • Able to work independently and proactively raise blockers rather than wait for direction
  • Based in London with right to work in the UK
  • Happy to work hybrid 3 x per week in the London office

Desired Qualifications

  • Have been knocked down before and gotten back up
  • Are resourceful — they figure things out with whatever tools are available
  • Have strong opinions and can defend them
  • Are hungry to learn & contribute
  • Want to work with no-BS people
  • 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

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