Top Tech Jobs & Startup Jobs in Seattle, WA

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

Own full-cycle recruiting across technical, business, and go-to-market roles, from individual contributors through leadership. Partner with hiring managers and senior leaders on role definition, sourcing strategy, candidate evaluation, and hiring decisions. Manage complex searches, use funnel metrics to improve outcomes, maintain ATS rigor, enhance recruiting processes, and deliver consistent candidate experiences. Mentor recruiters and provide talent-market expertise, judgment, and stakeholder leadership.

Leads and manages an applied machine learning team developing fraud detection and identity verification models. Responsibilities include people management, coaching, code review, production ML systems, model lifecycle ownership, experimentation, deployment, monitoring, fraud research, cross-functional prioritization, and communicating results. The role remains hands-on while partnering with Product, Engineering, Risk, and leadership to drive measurable business impact and shape future product strategy using machine learning and AI.

Leads an applied machine learning team and owns fraud detection and identity model strategy, development, deployment, monitoring, and iteration. Partners with Product, Engineering, Risk, and senior leadership to set priorities and deliver business impact. Provides technical mentorship, reviews code, guides modeling and architecture decisions, researches fraud patterns, develops ML capabilities, and shapes responsible AI use under data governance and security constraints.

Lead a team of analysts and data scientists embedded in sales to build rigorous pilot analyses, create executive-ready business cases, expand consultative analytics across the partner lifecycle, and publish industry insights while coaching and scaling the Solutions Analytics function.

Manage strategic bank, credit union, and fintech accounts to drive adoption, onboarding, and product-driven fraud mitigation. Provide consultative guidance, set business goals, run trainings, share performance data, collaborate cross-functionally, support renewals, and travel to clients as needed.

Manage relationships for enterprise bank, credit union, and fintech clients. Onboard customers, provide dashboard training, establish business goals, share performance insights, drive renewals, and consult on fraud solutions. Collaborate cross-functionally with Sales, Data Science, Product, and Engineering to maximize customer success and adoption.

Perform end-to-end analytics to quantify partner value and build ROI narratives from pilot datasets. Support sales and partner success with discovery calls, fraud strategy discussions, presentations, technical support, and thought leadership (white papers). Coach team members, maintain customer relationships, and communicate insights to senior stakeholders to drive adoption.

The Accounting Manager will oversee operating expenses and general accounting, manage monthly close, develop accounting processes, lead a team, and support audits.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.