Top Remote Jobs in Seattle, WA

Convert inbound leads and generate outbound pipeline to close SMB merchants. Own full sales cycle, hit monthly/quarterly revenue goals, forecast in Salesforce, collaborate cross-functionally, and continuously improve conversion and deal metrics.

The Staff Machine Learning Engineer will lead ML initiatives, partnering with multiple teams to enhance customer support through AI-driven solutions, focusing on conversational agents and research in chatbot architectures.

Lead and mentor risk control consultants on complex, high-premium commercial auto surveys; partner with underwriting, develop training and curriculum, apply AI and data analytics, deliver driver coaching and fleet management, and drive improvements in commercial auto risk control practices.

Owner of model observability for APD models: build monitoring pipelines, dashboards, and alerts for ML and GenAI systems; detect and triage drift, performance decay, and anomalies; integrate monitoring into deployment CI/CD; produce audit-ready governance evidence; analyze production outcomes versus business KPIs; communicate findings to technical and business stakeholders.

Lead data stewardship for Personal Lines Product, Pricing, and Underwriting. Define and execute a data roadmap, translate plans into epics, guide modernization to a unified insurance platform, govern data policy and classification, collaborate with stakeholders and Agile squads, and advise on technical solutions (streaming, modeling, warehousing, Guidewire transformations).

Detect, contain, and remediate security incidents across Windows, macOS, and Linux. Perform malware and forensic analysis, network log review, and develop detection/remediation processes. Produce customer-facing reports and thought leadership content. Work rotating 4x10 shifts on a hybrid schedule and contribute to process improvement and incident response best practices.

Design, build, and support high-throughput, low-latency LLM inference and data pipelines; collaborate with data scientists to post-train and evaluate models; implement scalable, production-ready systems with strong testing, monitoring, and performance focus; mentor engineers and iterate on architecture, reliability, and user-facing AI applications.

Support finance transformation initiatives by maintaining project artifacts, providing status updates, performing analysis, creating presentation materials, developing data-driven insights, and aligning stakeholders across the Finance Transformation portfolio.

Lead and grow an ML engineering team responsible for the end-to-end ML lifecycle: data collection, preprocessing, model development, deployment, evaluation and monitoring. Research and implement scalable ML and generative AI techniques (recommendation and agentic systems), mentor and hire engineers, drive pragmatic, business-focused solutions, and communicate technical results to stakeholders.

Lead Product Designer for Circle's Identity Team to design platform-level systems like Authentication, Roles & Permissions, and Billing. Audit fragmented workflows, create cohesive, scalable UI systems, and craft high-fidelity visual design while balancing security flows (MFA, SSO) and developer/designer consumable components.

The Lead Analyst, Product Compliance ensures compliance in product lifecycle, conducts risk assessments, collaborates with teams, and develops compliance processes for Circle's Payments product.

Lead StableFX growth, defining go-to-market strategy across issuers, makers, and takers. Drive customer segmentation, partnerships, commercialization, and product-informed market initiatives to scale liquidity, adoption, and institutional issuer acquisition.

Design, build, and optimize full-stack mobile and desktop web applications. Implement user interfaces, contribute to shared libraries, log and analyze metrics, use AI tools to accelerate development, and maintain high standards for code correctness, security, testing, performance, and scalability.

Serve as the primary technical contact for enterprise customers, designing scalable solutions, conducting POCs, troubleshooting complex issues, delivering training, and aligning platform architecture to customer goals while providing product feedback to engineering.

Own and build Grow Therapy's data security infrastructure: automated data classification, field-level masking/tokenization, encryption and key management, secure data connectors to AI tooling, and access controls. Define a multi-year vision, implement pipelines and services, and partner across Data, Engineering, and Detection & Response to make secure-by-default the company standard.

Drive new business sales in the West (PNW) by prospecting, qualifying, and closing enterprise accounts. Develop regional and partner strategies, manage POCs, collaborate with marketing and professional services, and sell software, services, and support to meet quarterly and annual bookings.

Lead development of AI-powered patient experiences: LLM-driven intake and therapist matching, between-session support, evaluation and safety infrastructure, outcome measurement, and HIPAA-compliant product delivery. Partner with Engineering, ML, Data Science, Clinical, and Legal to ship and monitor models in production, write evals, design red-teaming and human-in-the-loop flows, and measure patient outcomes.