Top Tech Jobs & Startup Jobs in Seattle, WA

Lead corporate planning, build and own the integrated three-statement model, automate FP&A reporting, own SaaS metrics and executive dashboards, support investor/board reporting, capital strategy, IPO/M&A readiness, and partner cross-functionally to translate financial insights into operating decisions.

Partner with Sales, Marketing, Customer Success, Partnerships, RevOps, and Finance to own GTM financial planning, forecasting, and performance reporting. Build driver-based models, ROI and customer-economics analyses, and automate reporting and data reconciliation to inform GTM investment, hiring, pricing, and partner strategies. Provide decision support and present insights to executives.

Lead strategy and execution for a Protect engineering domain, managing and mentoring engineers to build and operate scalable, reliable cloud-native services. Drive architecture, observability, incident response, CI/CD, and cross-functional delivery with Product, Research, and SRE to improve technical health and delivery outcomes.

Design, build, and evaluate machine learning models and scoring systems to detect fraud and scams across voice and IVR. Analyze fraud patterns, support investigations, productionize research with engineering, improve identity signals, and maintain reproducible research and evaluation pipelines.

Conduct research and develop algorithms for real-time video processing and deepfake detection, translating machine learning models for production use.

Own design, governance, and continuous improvement of People Operations processes for onboarding, offboarding, payroll, benefits, compliance, and reporting. Build SOPs, dashboards, and data integrity controls; partner with HRBPs, Finance, IT, and Legal. Serve as operational leader and escalation point, support scaling to 500+ employees and special initiatives (M&A, audits, workforce changes).

Lead DevOps strategy and team to improve CI/CD, IaC, Kubernetes-based delivery, multi-cloud (AWS/GCP) operations, observability, incident response, and cloud cost optimization. Drive automation, release workflows, environment management, and adoption of AI-powered DevOps tools to increase engineering velocity, reliability, and operational efficiency.