Top Tech Jobs & Startup Jobs in Seattle, WA

Own centralized Product Operations systems, tools, reporting, analytics, and processes. Administer product roadmapping and engineering work-tracking platforms, maintain integrations, build dashboards, define metrics, improve data quality, and standardize planning and prioritization workflows. Facilitate planning cadences, cross-functional handoffs, and strategy-to-execution alignment while enabling product managers and embedded Product Operations partners through documentation, training, and process improvements.

Own AML compliance frameworks, taxonomies, and regulatory intelligence supporting Socure’s platform. Partner with Engineering, Data Science, Product, Sales, and Customer Success to translate OFAC, FATF, FinCEN, and global requirements into product strategy, customer guidance, and scalable advisory services. Support enterprise compliance due diligence, audits, regulatory inquiries, and customer program design while developing automation to reduce operational burden.

Analyze large customer datasets, evaluate machine-learning models, develop risk and fraud insights, and communicate data-driven recommendations to technical and nontechnical audiences. The role partners with sales and account teams throughout pre- and post-sales, creates automated analytical workflows, supports product optimization and upsell opportunities, and may build exploratory ML models. It also contributes thought leadership on identity verification, fraud prevention, model performance, and customer risk management.

Leads the Channel Solution Consulting function, managing consultants who support strategic alliances throughout sales and implementation. Develops team strategy, playbooks, standards, and performance measurement; partners with Product, Engineering, Sales, and executives on customer technical needs. Supports major accounts, coordinates cross-functional resources, drives solution adoption, identifies risks, translates data into insights, and represents customer-driven product enhancements.

Own the strategy and roadmap for Socure’s Watchlist Screening and Monitoring product. Drive improvements in sanctions and AML screening accuracy, data coverage, scalability, reliability, and machine learning capabilities. Partner with Engineering, Data Science, Compliance Operations, Sales, Customer Success, and go-to-market teams. Analyze product metrics using SQL, translate regulatory and customer needs into priorities, support enterprise customers, and represent the product externally.

Drive organization-wide adoption of AI development standards, tools, and workflows across engineering. Build feedback loops, enablement content, prompt libraries, playbooks, training assets, and adoption dashboards. Partner with engineering leaders to improve AI practices, support onboarding and office hours, measure productivity and quality impact, and communicate progress through technical narratives and success stories.

The role requires managing channel sales, driving revenue through partner recruitment and enablement, and executing strategies with internal teams.

Own activation, onboarding, and time-to-value for Socure Launch, a self-service fintech offering. Analyze funnels and customer behavior, conduct customer research, run growth experiments, and translate insights into product improvements. Partner with Engineering, Design, Solutions Engineering, Support, and go-to-market teams to build scalable onboarding, reporting, instrumentation, and productized solutions. Success is measured by activation, onboarding completion, time-to-first-value, retention, engagement, and ecosystem-driven growth.

Develop machine learning, statistical, graph-based, and entity-resolution algorithms for large-scale identity verification and deceased monitoring. Build Spark/PySpark and AWS data pipelines, engineer features, analyze data quality, conduct experiments, and support model evaluation. Write Python/R and SQL for extraction and validation, investigate compliance data, create dashboards, and communicate findings to cross-functional teams.

The role involves end-to-end ownership of AWS infrastructure, managing Kubernetes platforms, and ensuring system reliability through observability and automation. Responsibilities include incident response and maintaining CI/CD systems.