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Product Analyst

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Remitly
Full Time position
Listed on 2026-09-21
Job specializations:
  • Business
    Business Intelligence, Business Analyst
Salary/Wage Range or Industry Benchmark: 116000 - 145000 USD Yearly USD 116000.00 145000.00 YEAR
Job Description & How to Apply Below

Job Description

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we’ve tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it’s supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we’re not just here to move money— we’re here to move our global customers forward.

We’re looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that’s you and you’re ready to do the most meaningful work of your career—we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About

the Role

Remitly is building the Remitly Global Card, a card and account that gives customers a single, trusted place to hold, spend, and move their money, launching across multiple geographies.

As a Product Analyst II on the Global Card team, you'll pick up real ownership from day one: funnel performance and optimization, the economic drivers of a consumer fintech product, how and why customers manage their money, and how marketing and product fit together. You'll combine rigorous, AI-first analysis with hands‑on product ownership, including analyzing customer behavior, helping define and prioritize the roadmap, evaluating experiments, and building the trusted data systems and AI-driven workflows that let the whole team make faster, better decisions.

This is not a reporting or support function that exists to service PM requests. It's a builder role with a hard data and AI core, and it's the on‑ramp for our next generation of data‑driven Product Managers. You'll own a slice of the roadmap, build genuine product judgment, and grow into product leadership over time. You will report to the General Manager and work in a hybrid capacity from our Arlington, VA office.

You

Will
  • Own funnel performance end to end — acquisition, onboarding and KYC, activation, funding, first spend, and retention. Find where customers fall out, size what it's worth to fix, and drive the fix.
  • Analyze the economic drivers of the product — unit economics, spend and funding behavior, cost and revenue per customer — and turn that into a clear point of view on what we should build next.
  • Understand how customers actually manage money: what they spend locally, what they send home, what triggers a remittance, and how the card and the send experience reinforce each other.
  • Own a slice of the product roadmap end to end — from identifying the opportunity, to sizing the impact, to writing requirements or lightweight specs, to partnering with Engineering to ship, to tracking results post-launch.
  • Build and maintain the analytical foundation — clean data models, dashboards, and self-serve tooling — so Product, Engineering, and Marketing can run their own queries and read their own results without waiting on you. Where the data structures don't exist yet, you'll create them.
  • Work in an AI‑first way — using LLM‑based tools, predictive models, and AI‑assisted coding and query workflows to accelerate analysis, automate repetitive reporting, and surface insights faster. You should be looking for ways to automate yourself out of the routine work so you can spend your time on higher‑leverage product problems.
  • Partner with Product and Engineering to design, run, and interpret A/B tests and experiments, and use results to guide roadmap prioritization and feature development.
  • Drive customer segmentation and lifecycle analysis to identify at‑risk…
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