Top Tech Jobs & Startup Jobs in Seattle, WA

Leads a team of Customer Success Managers, driving retention, renewals, revenue expansion, customer satisfaction, forecasting, risk management, executive client engagement, and cross-functional collaboration. The role oversees team development, operational consistency, KPI performance, escalations, strategic reporting, and customer relationship management within the employer-sponsored health benefits space.

Lead Lyra Health’s global accounting organization across accounting operations, consolidated reporting, treasury, and financial controls. Build scalable processes, systems, talent, and public-company-ready infrastructure, including SOX compliance and SEC-quality reporting. Drive accounting transformation through standardization, automation, AI, and continuous improvement while strengthening cash management and financial reporting. Partner with senior leadership, develop accounting talent, and ensure compliance with U.S. GAAP and evolving accounting standards.

Leads global accounting transformation initiatives to improve operating-model maturity, process standardization, automation, technology enablement, controls, and public-company readiness. Responsibilities include assessing current-state capabilities, redesigning accounting processes, managing project plans, implementing finance technology solutions, preparing for SEC-compliant reporting, and leading organizational change across functions and geographies.

Leads Lyra Health’s AI/ML engineering roadmap, scales and mentors machine learning teams, and drives production-grade systems for clinical applications. Responsibilities include people leadership, quarterly planning, technical architecture, design reviews, model governance, ML SDLC oversight, and deployment of reliable microservices on Kubernetes. The role partners with product, data science, and clinical stakeholders while ensuring safety, operational excellence, cloud scalability, and compliance for sensitive healthcare data.

Drive go-to-market planning and operations initiatives that support profitable growth. Responsibilities include territory planning, account assignments, pipeline and forecast analysis, customer segmentation, quota and booking analysis, dashboard development, business case creation, operating goal setting, and cross-functional program management. The role partners with sales, marketing, customer success, product, finance, analytics, and clinical operations to optimize GTM efficiency, revenue growth, investments, and scalable operating processes.

Leads engagement strategy and a team of seven marketing professionals delivering data-driven member communication programs. Owns annual planning, budgets, operational governance, AI integration, scalable marketing playbooks, performance analysis, and targeted account interventions. Partners with Customer Success, Operations, Product, Brand Marketing, Analytics, and Finance to improve utilization, customer outcomes, retention, and operational efficiency across complex employer accounts.

Develop and optimize global Employer Solutions pricing strategy to drive revenue, retention, and profitability. Analyze market and customer data, build financial models, translate pricing into sellable structures, and guide deal strategy. Partner cross-functionally with Finance, Product, Sales, Customer Success, Clinical Operations, and Product Marketing on quoting tools, deal desk parameters, enablement, and operational scalability.

The Corporate Strategy Manager builds financial models, forecasts, and unit economics analyses; tracks competitors, market trends, and regulatory changes; evaluates M&A and build-versus-buy-versus-partner opportunities; supports annual planning; and develops executive-ready PowerPoint presentations. The role partners across business units to turn quantitative and market insights into strategic recommendations for growth, investment, product, and market-entry decisions.

Build and maintain scalable ML and generative AI platforms and backend infrastructure; deploy and manage production applications; create services exposing ML/AI products; implement RAG solutions and vector databases; integrate LLM orchestration and foundation model APIs; collaborate cross-functionally and mentor teammates.

Lead design, training, fine-tuning, and deployment of ML and generative models (LLMs, diffusion). Build scalable MLOps pipelines, vectorization and data ingestion, integrate models into microservices for low-latency inference, implement evaluation/alignment/bias-mitigation, optimize models (quantization, distillation), and mentor engineers while influencing the AI product roadmap.