Top Tech Jobs & Startup Jobs in Seattle, WA

Leads account management for insurance and digital services, overseeing client relationships, product delivery, team performance, and client satisfaction. Develops growth strategies, identifies new business opportunities, implements account management processes, and aligns internal teams with client needs. Monitors market trends, uses analytics for decision-making, mentors account managers, and represents the company at industry events.

Leads the account management function for insurance solutions by managing account managers, developing retention and growth strategies, nurturing key client relationships, coordinating tailored solutions with consulting teams, monitoring client feedback, ensuring service quality, conducting performance reviews, generating new business, and representing the company at industry events and client meetings.

Design, deploy, and maintain scalable AWS data and document-processing pipelines and production ML platforms. Build containerized workloads, automate infrastructure with Python and infrastructure-as-code, implement CI/CD, and manage security, networking, databases, monitoring, and observability. Operate GPU and CPU workloads, integrate generative AI and ML inference, resolve production incidents, optimize cost and performance, and collaborate with application, DevOps, data, infrastructure, and client teams.

Analyze and connect complex datasets to generate actionable business insights and improve data products. Gather and manage requirements, document processes, define acceptance criteria, support testing, and collaborate with engineering and data teams. Serve as a data subject matter expert while advancing data quality, stewardship, lineage, metadata management, and stakeholder alignment across digital, direct-to-consumer, sports, fan, and business use cases.

Performs advanced physical and remote insurance premium audits for business clients. Reviews business records, interviews owners and managers, investigates exposures, documents findings, prepares written audit reports, schedules assignments, communicates results, and submits completed work for quality review. The auditor must manage deadlines independently, correct returned audits, maintain accurate records, and use Microsoft Office applications. This remote role requires reliable transportation, a valid driver’s license, strong analytical and communication skills, and at least five years of premium insurance auditing experience.

Conduct phone-based premium audits for Property & Casualty policies (Workers' Compensation and General Liability). Obtain payroll and accounting records from policyholders, evaluate classifications and exposure amounts, manage assignments via a web-based system, and ensure audit accuracy, compliance, and customer satisfaction.

Perform remote insurance premium audits: schedule insured appointments, obtain and review documentation, verify exposure and classification, ensure quality and client requirements, and meet production targets while working independently from home.

Perform remote audits of Property & Casualty policies (Workers' Compensation, General Liability) by calling policyholders to obtain payroll/accounting records, evaluate classifications and exposures, manage assignments in a web production system, and ensure accuracy, compliance, and customer satisfaction.

Design and implement end-to-end data solutions on Microsoft Fabric and Azure for insurance datasets. Build ingestion pipelines (batch, streaming, API), Lakehouse architectures, and data models. Enforce governance, security, compliance, and cost/performance optimizations while guiding engineers and stakeholders on architectural best practices.

Design and implement end-to-end Microsoft Fabric data solutions (ingestion, Lakehouse, warehouse, real-time). Create architectures, reusable frameworks, and governance patterns for insurance datasets. Lead ingestion pipelines, optimize performance/cost, integrate with Azure services and security, support regulatory compliance, and provide technical direction to engineering and analytics teams.