Product Manager

Remitly•Seattle, WA

2d•Hybrid

About The Position

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. A bout 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.

Requirements

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.
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.

Responsibilities

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.