Top Tech Jobs & Startup Jobs in Seattle, WA

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

Administer, customize, and maintain the Salesforce platform: manage users, objects, flows, and Apex triggers; implement integrations via APIs; troubleshoot performance; provide user training and stakeholder collaboration.

As the Sales Operations Systems Specialist, you will optimize sales systems, managing the CRM, workforce capacity, and lead routing to enhance efficiency and drive revenue growth.

The Senior Manager, Brand Marketing will lead brand strategy and governance, manage content marketing and social media, oversee corporate communications, and collaborate with sales teams to enhance brand presence and customer engagement.

As a Senior Technical Product Manager, you will oversee data strategy, integrity, and analytics across product applications, ensuring quality data governance and seamless data integration.

The Senior Product Manager will optimize the decision engine, manage API integrations, lead complex projects, and monitor KPIs to enhance risk assessment and funding velocity for small business lending.

As the Group Product Manager for Salesforce, lead product strategy, manage a team, optimize the Salesforce ecosystem, and drive data-driven decisions to support business growth.

The Lifecycle/CRM Marketing Manager will design and optimize customer marketing campaigns, manage a team, leverage data, and enhance customer journeys.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.