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CruciblSan Francisco, California, United States · Hybrid
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San Francisco, California, United States · On-site
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San Francisco, California, United States · On-site
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San Francisco, California, United States · Remote OK
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San Francisco, California, United States · Remote OK
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · On-site
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Support customer implementations and onboardings while building internal tooling to automate repetitive workflows. Translate customer pain points into product requirements and maintain the knowledge base and operational reporting layers.
Candidates should be pursuing or have completed a degree in Business, Computer Science, Finance, or a related field. Must be based in the Bay Area, authorized to work in the USA, and possess strong communication and organizational skills.
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.
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 the Bay Area 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.
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
Learn fast because they're hungry
Want to work with no-BS people building something important
Need extensive hand-holding
View high expectations as “unreasonable”
Expect strict 9 to 6 boundaries
Can’t handle ambiguity or rejection
Prefer consistent routine over fast-changing priorities
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
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
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
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
The AI operating system for financial crime compliance
Flagright is the AI operating system for financial crime compliance, trusted by more than 100 fintechs and banks across 30+ countries. Our unified, risk-based platform centralizes transaction monitoring, watchlist screening, investigations, and governance so financial institutions can run modern compliance programs on a single audit-ready system, deploying in as little as two weeks. With Flagright, fincrime compliance teams design and continuously refine controls without code using a powerful scenario builder, sub-second APIs, dynamic risk profiling, and simulation tools that reduce false positives and improve decision accuracy. Auditable AI agents support investigations inside governed workflows, keeping human oversight central while ensuring decisions remain transparent and defensible across jurisdictions. Organizations replacing fragmented tools with Flagright report up to 93% fewer false positives and 80% lower compliance costs, setting the modern standard for financial crime compliance.
Offices: San Francisco, California, US · 30 Cecil Street, Prudential Tower, 2911, Singapore, 049712, SG · 1 King William Street, London, England EC4N 7BJ, GB · 27 E 28th St, New York, NY 10016, US
Based on 2332 listings with disclosed salaries, most data & analytics jobs in San Francisco, CA pay between $125k–$278k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,910 open data & analytics positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
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