Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Operations Analyst
- Salary
- USD 95k–105k / yr
- Department
- Legal & Compliance
- Employment
- Full Time
- Experience
- Open level
- Published
- Apply before
- 6 Dec 2026
- Listing views
- 19
- Application actions
- 2
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About this role.
Tremendous is the global platform built for businesses to send thousands of payouts to anyone, anywhere, for free. We’re trusted by 20,000 organizations like Atlassian, MIT, and United Way to deliver gift cards and money to millions of recipients worldwide.
Our customers (researchers, marketers, HR teams, nonprofits, and platform businesses) rave about how fast and easy Tremendous is to use. Check out our ratings on G2.
Tremendous is profitable and growing without outside investors. We’re a fully remote, high-documentation, low-meeting culture, which means more time for what matters in both your professional and personal life. The team agrees– our employee NPS is in the high 80s.
What you’ll do
We’re looking for an Operations Analyst to join our small-but-mighty operations team. As the third person on the team, you’ll shape how we handle day-to-day compliance operations and have real autonomy to drive impact. This role sits at the intersection of security, user experience, and sound judgment, requiring someone who doesn’t just follow rules but thoughtfully balances risk, customer needs, and operational excellence.
Review account activity and make informed decisions using AI-assisted analysis. You’ll investigate payment approval requests, flag anomalies through pattern recognition tools, and make sound judgment calls on approval or escalation, combining human judgment with AI insights.
Identify suspicious activity and fraud patterns. Learn about regulatory requirements as they come up and help implement them in your day-to-day work. Use AI tools to rapidly surface anomalies and patterns, freeing you to focus on the judgment calls that matter most.
Suggest process improvements that could make things more efficient or reduce risk. Document what you learn and share it with the team.
Balance compliance with user experience by using AI to process large datasets, draft communications, and analyze trade-offs at scale. Work cross-functionally with product, support, and business teams to make decisions that reduce risk and support scalable growth.
What you’ll bring
Strong analytical and problem-solving skills with exceptional attention to detail. You can take a messy situation, break it down, and see the pattern.
Familiarity with AI tools and a willingness to experiment with them for productivity. You don’t need deep AI expertise, but you’re comfortable learning to use LLMs, data analysis tools, or automation platforms to augment your work.
Clear communication and genuine collaboration. You work well across teams, explain complex topics simply, and aren’t afraid to ask for context.
Comfort with multitasking, prioritization, and staying organized amid competing demands.
An ownership mindset and genuine curiosity. You take responsibility for outcomes, seek continuous improvement, and think about how decisions affect users.
At least 2 years in an operational, compliance, or related role. Startup or fintech experience is a plus; what matters more is your adaptability and hunger to grow.
What’s cool about the role
Competitive pay and equity. Base salary for this role: $95k to $105k.
Real benefits. 100% covered health (US), unlimited PTO, 12-16 weeks paid parental leave.
Fully remote. Work from anywhere in the Americas.
Great culture. Read more about how we work in our public handbook.
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Role DNA
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Pace & Pressure
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Core skills
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Sample interview questions
I would first validate the account, transaction history, recipient details, and the specific trigger that caused the alert. I would compare the activity with established patterns and policies, use available analytical tools to identify related signals, document the evidence, and either approve, decline, or escalate based on the assessed risk.
I focus on applying controls proportionately to the risk. When additional verification is needed, I aim to make the request clear, specific, and as low-friction as possible, while documenting the rationale so decisions are consistent and auditable.
I use AI tools to organize large datasets, identify potential anomalies, summarize case information, and draft clear customer or internal communications. I treat AI output as an input rather than a final decision and validate it against source data, policy, and professional judgment.
I would begin by measuring where delays, errors, or repeat questions occur, then map the workflow and identify the root cause. After testing a lightweight improvement such as a decision checklist, template, or automation, I would monitor outcomes and document the new process for the team.
I prioritize by potential customer harm, financial exposure, regulatory urgency, and time sensitivity. I communicate expected timelines early, keep a clear case queue, escalate blockers quickly, and revisit priorities as new information arrives.
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