Product Operations Intern

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

Requirements

• 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 the Bay Area and authorized to work in the USA (visa sponsorship not available) — this is a fully on-site role at our Santa Clara 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