Top Tech Jobs & Startup Jobs in Seattle, WA

Leads the development and ownership of Cedar’s production machine learning personalization engine. Responsibilities include ML modeling, MLOps, feature pipelines, deployment, inference, monitoring, feedback-loop optimization, compliance and fairness guardrails, technical leadership, code reviews, cross-functional collaboration, and management of ML engineers. The role requires hands-on contributions to scalable ML systems serving millions of healthcare transactions while guiding roadmap execution and model improvement.

Lead two Payments engineering teams through platform modernization, including decoupling payment capabilities from business logic, improving observability, performance, reliability, and operational health. Manage engineering managers and individual contributors, guide technical direction with senior engineers, own third-party payment integrations, and partner with Product and Commercial on payment capabilities and priorities. Drive cross-team initiatives, develop talent, and balance product delivery with foundational architecture investments.

Lead revenue-cycle performance analyses, diagnose root causes, quantify value (ROI/collections lift), and translate findings into pragmatic, stakeholder-ready recommendations. Partner cross-functionally to scope analyses, validate data, and drive strategic workstreams that inform product roadmap and client outcomes.

The software engineer will build full-stack features for Kora's voice AI agent, integrating data, refining prompts, and expanding multi-modal capabilities while mentoring peers and ensuring technical quality.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

The Senior Director of Client Management will drive client strategy, build relationships with executive partners, and collaborate with internal teams to enhance client engagement and drive partnership success in the healthcare tech industry.

Lead product analytics efforts by designing and evaluating experiments, building dashboards, and producing statistical insights. Partner with product, design, and engineering to measure product success, identify optimization opportunities, and embed ML-driven personalization into the product.

Lead the design and execution of a new enterprise data platform, ensuring metrics reliability and supporting AI-driven products, while mentoring engineers and collaborating across teams.

Lead product investment strategy and portfolio planning by building frameworks, financial and operating models, and executive-ready business cases. Partner cross-functionally with Product, Finance, Sales, and GTM to prioritize roadmaps, track product-level economics and ROI, and provide decision support for investing, scaling, pausing, or deprioritizing products, including AI offerings.

Lead commercialization and GTM strategy for priority products: define target segments, launch sequencing, buyer narratives, pilot-to-scale motions, sales playbooks, and field readiness. Partner cross-functionally with Product, Sales, Enablement, Marketing, Client Management, Delivery, and Finance to drive launch performance, feedback loops, and repeatable commercialization processes.