Product Manager

Posted Yesterday
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Seattle, WA, USA
In-Office
134K-155K Annually
Mid level
eCommerce • Fintech • Payments • Software • Financial Services
We provide trusted digital financial services to our customers and recipients in over 170 countries across the globe.
The Role
Leads strategy, roadmap, and implementation of AI-assisted product development tools and experimentation frameworks. Responsibilities include developing GenAI workflows, tracking adoption and ROI, analyzing performance, establishing responsible AI governance, protecting intellectual property, and enabling product and engineering teams through training and resources.
Summary Generated by Built In

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 VP, Engineering, the Product Manager will lead the strategy, roadmap, and implementation of AI-assisted product development tooling and experimentation frameworks aligned with company innovation and velocity goals. Telecommuting available up to 3 days per week within the Seattle Metropolitan area, based on manager approval.

You Will:

  • Recommend and develop technical design or process changes to improve efficiency, quality, or performance of AI-assisted workflows for use cases. 

  • Develop, document, and maintain standardized GenAI tools and frameworks and workflows, ensuring consistency across teams. 

  • Define and track adoption, engagement, and ROI metrics for GenAI tools and programs, and use performance data to inform prioritization and measure productivity improvements. 

  • Regularly analyze program performance to identify bottlenecks, inefficiencies, and opportunities for improvement. 

  • Establish and maintain governance frameworks and ethical guidelines for responsible AI usage, ensuring compliance with licensing restrictions and intellectual property protections. 

  • Develop and execute enablement programs and resources to increase GenAI literacy and effective adoption across product and engineering teams.

You Have:

  • Position requires a Bachelor’s degree in Industrial Engineering, Systems Engineering, Computer Engineering, Information Systems, or a related field, followed by 4 years of experience developing technical tools and operational practices to improve the efficiency of product design, development, and implementation of data-driven systems.

  • 1 year of experience with defining product roadmaps, technical requirements, and success metrics for internal developer-facing AI tools and services;

  • 1 year of experience with integrating large language model (LLM) frameworks and APIs, including OpenAI and Anthropic, into internal tooling or developer workflows;

  • 1 year of experience with designing and implementing LLM infrastructure and platform capabilities, including model orchestration, prompt routing, embeddings, caching, and retrieval-augmented generation (RAG) pipelines, including LangChain and LlamaIndex;

  • 1 year of experience with applying statistical and experimental design principles to evaluate product hypothesis, interpret test results, and inform data-driven decision-making;

  • 1 year of experience with using continuous discovery practices and visual frameworks, including Opportunity Solution Trees (OST), to guide product experimentation and feature prioritization;

  • 1 year of experience with applying prompt engineering, fine-tuning, and evaluation techniques to optimize
    generative model performance and alignment with organization-specific use cases; and

  • 1 year of experience with using Amplitude, AWS Bedrock, FlowGPT, Git, Go, Google Cloud, Gradio, Hugging Face, Jira, LangGraph, LangSmith, Mode, Pinecone, PromptLayer, Python, SQL, Statsig, Streamlit, Vertex AI, and Weaviate.

Compensation Details. The starting base salary range for this position is typically $134,160.00 - $155,000.00 per year. 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.

Skills Required

  • Bachelor's degree in Industrial Engineering, Systems Engineering, Computer Engineering, Information Systems, or a related field
  • Four years of experience developing technical tools and operational practices that improve the efficiency of product design, development, and implementation of data-driven systems
  • One year of experience defining product roadmaps, technical requirements, and success metrics for internal developer-facing AI tools and services
  • One year of experience integrating LLM frameworks and APIs, including OpenAI and Anthropic, into internal tooling or developer workflows
  • One year of experience designing and implementing LLM infrastructure and platform capabilities, including model orchestration, prompt routing, embeddings, caching, and RAG pipelines using LangChain and LlamaIndex
  • One year of experience applying statistical and experimental design principles to evaluate product hypotheses and interpret test results
  • One year of experience using continuous discovery practices and Opportunity Solution Trees to guide product experimentation and feature prioritization
  • One year of experience applying prompt engineering, fine-tuning, and evaluation techniques to optimize generative model performance
  • One year of experience using Amplitude, AWS Bedrock, FlowGPT, Git, Go, Google Cloud, Gradio, Hugging Face, Jira, LangGraph, LangSmith, Mode, Pinecone, PromptLayer, Python, SQL, Statsig, Streamlit, Vertex AI, and Weaviate

What the Team is Saying

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Remitly Compensation & Benefits Highlights

  • Healthcare Strength Core medical, dental, vision, life, and disability coverage is standard, with EAP plus FSA/HSA options available in the U.S. Feedback suggests the overall health package is solid for a mid-size fintech.
  • Equity Value & Accessibility Equity grants and an Employee Stock Purchase Plan make ownership accessible across roles, and materials emphasize that employees are shareholders. Feedback suggests this equity component is a meaningful part of total compensation.
  • Leave & Time Off Breadth Employer-verified flexible, unlimited PTO with paid holidays is highlighted, alongside company wellbeing days. Feedback suggests time off is generous, though experiences can depend on team norms.

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The Company
HQ: Seattle, WA
2,800 Employees
Year Founded: 2011

What We Do

Since 2011, Remitly has been tirelessly delivering on our promises to our customers sending their hard earned money home. Today, we are incredibly proud to have served millions of customers globally. We strive daily to meet our promise to our customers by building peace of mind into everything we do. Join over 2,700 employees across 10 offices who are growing their careers while having a positive impact on people globally.

Why Work With Us

We are united through our vision to transform lives with trusted financial services that transcend borders. We accomplish our vision by relentlessly focusing on culture via our cultural values. That starts with putting customers at the center of everything we do, and includes investing in the growth & development of our team.

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Remitly Teams

Team
Product & Tech
About our Teams

Remitly Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our best work begins in moments when ideas spark, when we are deeply connected, and when we’re moving fast to solve challenging customer problems. These moments shape our culture. Our guidance is to committing to 3 days a week in the office.

Typical time on-site: 3 days a week
HQSeattle, WA
United Arab Emirates
India
Amsterdam, NL
Arlington, VA
Cork, IE
Kraków, PL
London, GB
Managua, NI
Manila, PH
New Westminster, BC
Spokane, WA
Tel Aviv-Yafo, IL
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