Senior Product Manager, Machine Learning
Remitly
Listing collected from Remitly's career site. NextChapter is independent of Remitly.
Seattle, WA · $166k–$195k a year · Posted November 5, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Remitly
More in Washington job market · All Senior Product Manager jobs (858) · Financial Services & Banking · Product jobs
More roles at Remitly
Similar jobs
- Senior Product Manager, Search & Recommendations Quality · Expedia Group · WA
- Senior Product Manager, Customer Data Platform: Identity & User Keychain · Expedia Group · WA
- Vice President, Product — Solutions (IAM for X) · Docusign · Seattle, WA
- Product Marketing Manager · Motherduck · Seattle, WA
- Senior Product Manager, Ops Tech · Flexport · Bellevue, WA
- Market Manager · Atoms · Seattle, WA
Where Seattle, WA ranks
Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities with the most jobs that do not need a four-year degree in the Pacific Northwest316 jobs · of 8
- #1Best cities for software and engineering jobs in the Pacific Northwest1,776 openings · of 14
- #2Best cities for energy and utilities pay after cost of living$180k · of 18
- #2Best cities for entry-level jobs that want AI skills in the Pacific Northwest17% · of 12
- #2Best cities for AI-skill jobs in the Pacific Northwest26% · of 17
- #2Best cities for software and engineering jobs in the West Coast1,776 openings · of 60
Rankings about product jobs
- Best cities for product jobs #1 New York (738 openings)
- Best cities for product pay after cost of living #1 Santa Clara ($224k)
- Most requested AI skills in product jobs #1 AI product management (17.9%)
- AI tools named most often in product jobs #1 Claude (3.2%)
- Employers with the most product jobs #1 Amazon (356 roles)
Pay compared with the market
This listing pays about $180,430 a year. Across 317 open senior product manager listings that state pay, the middle half runs $167,500 to $205,000 and the median is $185,000. That is inside the middle half of those listings, 2% below the median.
Listed pay is what employers advertise, not what people are paid.
Senior Product Manager salaries by state · Check your own pay
How AI is used in this kind of work
Among marketing managers, AI is already used for a large share of the tasks. Measured exposure for marketing managers: 32% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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.