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Remitly

Senior Product Manager, Machine Learning

Posted 5 Days Ago
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In-Office
Seattle, WA
166K-195K Annually
Senior level
In-Office
Seattle, WA
166K-195K Annually
Senior level
Lead the strategy, roadmap, and delivery of Remitly’s machine learning platform. Partner with ML engineers, data scientists, and analysts to improve data ingestion, experimentation, deployment, monitoring, usability, governance, security, and reliability. Define APIs, SDKs, KPIs, and OKRs; manage Agile planning; evaluate third-party solutions; and drive platform adoption and performance across the organization.
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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:


Under the supervision of the Head of AI, the Senior Product Manager, Machine Learning will shape and drive the growth of the company’s machine learning (ML) platform, ensuring it supports scalable, reliable, and impactful ML-powered solutions across the business. Telecommuting is available up to 3 days per week within the Seattle Metropolitan area, based on manager approval. 


You Will:

  • Conduct technical research with ML engineers and data scientists to uncover bottlenecks across the ML lifecycle (data ingestion, experimentation, deployment, monitoring) and translate findings into product requirements. 
  • Develop and manage the ML platform roadmap, ensuring alignment with organizational objectives and OKRs, and driving execution through sprint and quarterly planning cycles.
  • Define platform usability and integration requirements (e.g., APIs, SDKs, tools) to enable adoption across data science and engineering teams.
  • Ensure platform compliance with data governance and security standards.
  • Establish and monitor KPIs for platform success, including training speed, deployment latency, reliability, and adoption metrics.
  • Evaluate and integrate third-party solutions while identifying emerging ML infrastructure trends to expand platform capabilities.

You Have:


  • Position requires a Bachelor’s degree in Computer Science, Engineering, Information Systems, or a directly related technical field, followed by 5 years of progressively responsible experience with defining product strategy, managing feature development, and leading full lifecycle product management.
  • 1 year of experience with applying core ML concepts to business use cases;
  • 1 year of experience with applying Agile and Kanban methodologies to plan, prioritize, and deliver ML platform features;
  • 1 year of experience with leading the roadmap and delivery for cross-functional teams of engineers, data scientists, and analysts to deliver technical platform features;
  • 1 year of experience with gathering and synthesizing feedback from stakeholder groups to drive product decisions;
  • 1 year of experience with defining and tracking KPIs and OKRs for technical products;
  • 1 year of experience with ensuring data governance and security compliance in ML platform and data product design;
  • 1 year of experience with communicating complex data with technical and non-technical audiences and stakeholders to achieve business objectives; and
  • 1 year of experience with Airflow, AWS SageMaker, Azure ML, GCP Vertex AI, Git, Jira, Kubeflow, MLflow, Power BI, SQL, and Tableau.   

Compensation Details. The starting base salary range for this position is typically $165,860.00 to $195,000.00. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.


#LI-DNI #FB-DNI #IN-DNI #TW-DNI #GD-DNI


Our Benefits:

  • Flexible paid time off
  • Health, dental, and vision + 401k plan with company matching
  • Paid parental, medical, military and family care leave
  • Mental Health & Family Forming Benefits
  • Employee Stock Purchase Plan (ESPP)
  • Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation, Together


At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.


We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.


Remitly is an E-Verify Employer


Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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