Product Operations Intern

Posted 11 Days Ago
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London, Greater London, England, GBR
Hybrid
Internship
Artificial Intelligence • Machine Learning • Security • Software • Financial Services • Generative AI • Automation
AI-native transaction monitoring and AML compliance solutions
The Role
Support customer implementations, onboarding, process documentation, internal tooling, knowledge-base management, operational reporting, and product feedback analysis. Collaborate with Customer Success, Product, and Engineering to scope improvements, identify process gaps, automate workflows, monitor customer adoption and KPIs, and perform QA for feature releases.
Summary Generated by Built In

About Flagright

Flagright is an AI operating system for financial crime compliance used globally by Fortune 500 companies, large banks, fintechs, and fast growing startups. Flagright enables real-time risk detection, automated investigations, and intelligent decisioning, helping compliance teams operate at their full potential in the fight against financial crime.

We operate as a lean, high-performance team with high individual ownership and direct access to leadership.

Role Overview

Our Product team is at the core of Flagright's innovation, building solutions that power real-time financial crime prevention. They turn complex customer needs into scalable, high-impact solutions that drive our mission forward.

We are hiring a Product Operations Intern based in London who will work alongside 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. You will be expected to take initiative, stay on top of multiple tasks, and contribute meaningfully — not just observe.

People Who Thrive at Flagright

  • Have been knocked down before and gotten back up

  • Are resourceful — figure it out with whatever tools exist

  • Have strong opinions, defend them, and drop them when proven wrong

  • Would rather own targets than a task list

  • Run toward ambiguity, not away from it

  • Want to work with no-BS people

People Who Struggle Here

  • Confuse ambitious goals with unreasonable ones

  • Want 9-to-6 and a predictable week

  • Need priorities to hold still for a quarter

  • Take blunt feedback or lost deals personally

  • Say — or think — “that’s not my job”

Key Responsibilities

  • Support customer implementations and onboardings alongside CSMs across environment setup, configuration, and go-live validation

  • Build internal tooling to improve CS and product operations — automate repetitive workflows, create tracking systems, and eliminate manual overhead that slows the team down

  • Identify process gaps and design fixes — if something is done manually three times, you should be asking how to make it never manual again

  • Own knowledge base infrastructure — track coverage gaps, set freshness standards, and ensure documentation stays accurate as the product evolves

  • Build and maintain the signals and reporting layer that keeps the team informed — surfacing at-risk accounts early, tracking adoption, and giving the Head of Customer Success clear visibility into SLA and operational KPIs.

  • Collaborate with Product and Engineering to translate customer pain points and feature requests into clearly scoped requirements

  • Support QA for new feature releases, verifying functionality against customer-facing requirements before rollout

Who We Are Looking For

  • 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

  • Detail-oriented and organized — able to juggle multiple tasks and follow through without reminders

  • 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 (no visa sponsorship available) happy to work hybrid 3 x per week in the London office

Preferred Skills

  • 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

What We Offer

  • Hands-on exposure to a fast-growing Y Combinator startup from day one

  • Direct mentorship from product and customer success leads

  • Real responsibilities — not coffee runs or shadow tasks

  • A front-row seat to how enterprise B2B SaaS is built, sold, and operated

  • Opportunity to convert to a full-time role for exceptional performers

  • Work alongside a high-caliber team from Y Combinator, ex-AWS, and Palantir

  • Enjoy a low-bureaucracy environment, minimal meetings, and an asynchronous communications culture

Skills Required

  • 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, with the ability to manage multiple tasks and follow through independently
  • Comfortable participating in customer calls and representing the team professionally
  • Interest in B2B SaaS products and willingness to learn across product, operations, and customer success
  • Ability to work independently and proactively raise blockers
  • Based in London with the right to work in the UK
  • Availability to work hybrid three days per week in the London office
  • Familiarity with anti-fraud, AML, compliance, or fintech concepts
  • Prior internship or project experience in product, operations, or customer-facing work
  • Proficiency with data analysis tools and techniques
  • Interest in AI, machine learning, or intelligent automation applied to compliance or risk
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The Company
HQ: San Francisco, California
35 Employees
Year Founded: 2021

What We Do

Flagright sets the modern standard for AI-native transaction monitoring. The platform enables financial institutions to centralize detection, investigation, and reporting of suspicious activity, streamlining regulatory workflows and strengthening financial crime controls. A high-performance, no-code scenario builder with sub-second API response times powers real-time monitoring, supported by tailored rules, dynamic risk profiling, and simulation tools that reduce false positives and improve decision accuracy. This transaction monitoring foundation is enhanced by fully integrated AML screening that links each transaction and entity to global sanctions and watchlists; dynamic risk scoring that embeds behavioural and contextual risk directly into detection logic; and centralized case management that automates alert triage, investigation workflows, and SAR filing, maintaining audit-readiness across jurisdictions. Flagright’s AI Forensics suite strengthens compliance operations across four critical areas: screening (reduces false positives in AML checks), monitoring (augments alert investigation capabilities), quality assurance (accelerates QA processes), and governance (simplifies policy management and regulatory compliance). Financial institutions moving from fragmented tools to Flagright report a 93% reduction in false positives, 80% lower compliance costs, and a 27% drop in operational errors, with implementation typically completed within weeks. With customers across six continents and offices in the United States, the United Kingdom, Singapore, and Germany, Flagright delivers a transaction monitoring solution that scales with growth and adapts to evolving threats.

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