Top Tech Jobs & Startup Jobs in Seattle, WA

Leads complex property and casualty insurance reserving projects, evaluating reserve adequacy, volatility, emerging loss trends, and actuarial methodologies. Performs advanced reserve analyses using actuarial, statistical, and predictive modeling techniques; validates claims, exposure, and financial data; communicates results to leadership and business partners; develops reserve narratives; mentors less experienced staff; and supports business decisions through technical and thought leadership.

Leads data science and advanced analytics initiatives for Auto Claims by developing, evaluating, and implementing machine learning and predictive modeling solutions. Integrates structured and unstructured data, researches emerging techniques, communicates model results to stakeholders, and manages moderately complex projects. Provides initial mentoring and development support to junior data scientists while helping improve business decisions and outcomes.

Prepares external financial reporting schedules, SEC/GAAP and NAIC/statutory disclosures, journal entries, reconciliations, and monthly, quarterly, and annual close activities. Analyzes financial and investment data, investigates variances, supports management reporting, and collaborates cross-functionally to resolve reporting issues. The role also contributes to process improvements, controls, executive materials, special projects, and ad hoc financial analyses.

Leads strategy, discovery, delivery, evaluation, and continuous improvement for AI-enabled enterprise products and tools. Defines product roadmaps, user stories, KPIs, and evaluation frameworks covering reliability, accuracy, security, cost, and performance. Uses customer feedback, market analysis, and experimentation to prioritize features and validate assumptions. Partners with engineering teams, including colleagues in India, and translates complex AI concepts into scalable business value.

Supports health technology platform modernization, Azure cloud migration, API integrations, DevOps readiness, data migration, and operational stability. The role contributes hands-on solution design, API testing, environment readiness, CI/CD and deployment coordination, cutover execution, compliance validation for PHI/PII, and risk and dependency management. It bridges business and engineering teams, collaborates with vendors and security stakeholders, and produces technical documentation, decision logs, and stakeholder updates.

Leads the design, configuration, implementation, and support of enterprise IAM platforms, including authentication, authorization, SSO, federation, and access control. Translates complex business requirements into technical designs, supports application integrations and testing, troubleshoots production issues, manages vendor releases and defects, and evaluates platform enhancements. Partners with business, security, infrastructure, application, and vendor teams while mentoring colleagues and maintaining technical documentation and support procedures.

Serve as the subject matter expert for SAP accounting master data, governing General Ledger, Cost Center, Profit Center, and hierarchy structures. Maintain data integrity, controls, and compliance while analyzing accounting and system issues. Lead SAP enhancements, testing, upgrades, and process improvements, partnering with Finance, Technology, and business stakeholders. Translate complex concepts into recommendations, support enterprise financial operations, and coordinate moderately complex cross-functional projects.

Drive enterprise sales and business development for Arity products across mobile publisher and automotive manufacturer segments. Develop and execute short- and long-term sales strategies, initiate and close complex B2B deals, build customer and distribution partnerships, represent Arity at industry events, identify new markets, and provide market feedback to product, marketing, and go-to-market teams. Coordinate with product, sales engineering, legal, and internal distribution teams to advance opportunities and increase platform adoption.

Designs, implements, and runs Java Spring Boot microservices and REST APIs; leads design, CI/CD, TDD, performance tuning, security, and cross-product collaboration. Coaches teams and owns product KPIs and production support.

Design, build, and integrate AI-enabled applications using C#/.NET and Azure. Develop data ingestion, transformation, and automation pipelines for structured and unstructured data. Implement and optimize LLM/Generative AI solutions, build APIs, and support end-to-end delivery from design through production handoff while partnering with business stakeholders.