Senior ML Platform Product Manager — AI-Driven Growth

Remitly, Inc.; Seattle (WA); Hybrid; USD 166,000 - 195,000; Full time

Benefits offered by this job

Flexible paid time off

Health, dental, and vision + 401k plan

Parental leave

Mental Health & Family Benefits

Employee Stock Purchase Plan (ESPP)

Continuing education and travel

Job summary

Remitly, Inc. is seeking a Senior Product Manager, Machine Learning to shape and grow our ML platform. Telecommuting is available up to 3 days per week within the Seattle area, with manager approval. You will partner with ML engineers and data scientists to set the platform roadmap and drive cross-functional delivery.

The role focuses on data governance, security, and measurable platform impact, including training speed and deployment latency, across our global business.

Qualifications

• Degree in a technical field with strong product mindset and strategy experience.
• Experience defining product roadmaps for ML platforms and leading cross-functional teams.

Responsibilities

• Define and drive the ML platform roadmap aligned with company objectives.
• Collaborate with ML engineers and data scientists to translate bottlenecks into platform requirements.
• Establish KPIs for platform success including training speed and deployment latency.
• Ensure data governance and security compliance in ML platform design.
• Evaluate third-party solutions and emerging ML infra trends.
• Lead cross-functional delivery with engineers, data scientists, and analysts.

Skills

Product management

Agile & Kanban

Cross-functional leadership

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a directly related technical field

Tools

Airflow

AWS SageMaker

Azure ML

GCP Vertex AI

Git

Jira

Kubeflow

MLflow

Power BI

SQL

Tableau

Job description

Remitly, Inc. is seeking a Senior Product Manager, Machine Learning to shape and grow our ML platform. Telecommuting is available up to 3 days per week within the Seattle area, with manager approval. You will partner with ML engineers and data scientists to set the platform roadmap and drive cross-functional delivery.

The role focuses on data governance, security, and measurable platform impact, including training speed and deployment latency, across our global business.