Top Tech Jobs & Startup Jobs in Seattle, WA

As an AI Native Software Engineer, you'll build products using AI coding agents, translating customer needs into solutions, and ensuring quality delivery and documentation.

Lead full‑stack design and delivery of customer‑facing web and mobile features across frontend and backend systems. Own architecture, ship reliable and observable services, mentor engineers, drive process and cross‑team designs, participate in on‑call rotation, and collaborate with product, design, and analytics.

As a Forward Deployed Engineer at Remitly, you will leverage AI agents to build applications, translate customer needs, and evaluate outputs for quality and security, focusing on delivery speed and robustness.

As an Agentic Software Engineer, you'll build and deploy production-grade AI systems, reverse-engineer existing software, guide teams, and facilitate customer discovery.

Build a zero-to-one fullstack product for Remitly Business, design secure scalable frontend and backend systems, set technical standards, lead and decompose team projects, mentor engineers, ensure reliability and observability, and collaborate cross-functionally. Hybrid role based in Seattle.

Lead design, implementation, and scaling of end-to-end ML systems including feature pipelines, model training, evaluation, deployment, and monitoring. Partner with cross-functional teams to productionize models, apply MLOps best practices (automated retraining, CI/CD, drift detection), and mentor engineers to maintain high code and system quality.

Lead re-architecture of a frontend-driven checkout into a composable, server-driven platform. Coordinate cross-functional engineering, product, and business stakeholders to plan, execute, and deliver multiple concurrent programs, define roadmaps and success metrics, manage risks, and drive adoption of platform best practices across regional teams. Communicate status and decisions to senior leadership.

Lead product-focused data science and analytics work: define success metrics, design and analyze A/B tests, investigate product and customer performance, build anomaly detection frameworks, and translate insights into product and roadmap recommendations while partnering with cross-functional teams.

Support lifecycle marketing and winback decisions using data: analyze program and campaign performance, pricing, channels; deep-dive customer behavior; build and maintain KPI dashboards; design experiments and present recommendations to improve retention.

Design, build, and productionize real-time fraud detection models. Advance adversarial-domain techniques (graph, sequence, anomaly detection), design robust evaluation for biased/delayed labels, ensure low-latency reliable deployment, monitor models in production, and collaborate with data scientists and stakeholders to translate fraud signals into modeling solutions.