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.
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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
