Top Fintech Jobs in Seattle, WA

Own the full enterprise sales cycle for Block’s commerce and payments products, from account strategy and prospecting through negotiation, launch, and expansion. Build executive relationships, develop strategic sales narratives, negotiate complex agreements, coordinate cross-functional deal teams, and deliver revenue targets. The role requires strong enterprise selling, commercial strategy, financial analysis, stakeholder management, and familiarity with payments, fintech, digital commerce, or consumer technology.

Lead regional growth strategy for USDC by building partnerships with exchanges and OTC desks, delivering regionally compliant product initiatives, and creating AI-driven, automated growth platforms. Own experimentation frameworks, dashboards, and metrics to scale liquidity, adoption, and measurable share shift versus competing stablecoins through cross-functional execution and data-driven prioritization.

Own new-logo acquisition and account expansion across large enterprise customers in fraud-intensive industries. Build qualified pipelines, run consultative and multi-threaded sales cycles, navigate technical and business stakeholders, and sell identity data products to fraud, payment risk, and trust and safety leaders. Independently prospect, manage forecasts and quotas, represent Mastercard Identity at industry events, and collaborate with regional account teams and product and technology teams.

Build and ship customer-facing products across backend services, APIs, data models, React web interfaces, and Android point-of-sale applications. Learn unfamiliar platforms quickly, collaborate with product and design, deliver resilient code, and own testing, instrumentation, on-call support, and cleanup. The role emphasizes 0-to-1 product development, customer-focused decision-making, rapid experimentation, and using AI tools to improve development velocity and quality.

The GTM Engineer will automate sales workflows using tools, build integrations, design a win/loss analysis program, and collaborate with sales teams to leverage AI insights.

Build and operate highly reliable card-issuing systems at the network boundary. Responsibilities include interpreting specifications, protocols, certifications, mandates, and production behavior; developing production software and conformance tooling; analyzing network messages; driving certification cycles; influencing card networks; mentoring engineers; applying AI-assisted engineering practices; and participating in on-call support for critical financial systems.

The Senior Data Scientist will analyze product, customer, and risk data to improve Support and Risk Operations. Responsibilities include defining metrics, forecasting demand, modeling staffing and queue health, evaluating experiments and policies, monitoring risk models for bias and drift, and communicating decisions to product, engineering, and risk stakeholders. The role also leads technical standards, develops reusable analytical tooling, mentors data scientists, and uses AI tools and agent workflows to improve analytical quality and efficiency.

Build and maintain production LLM agent pipelines, MCP integrations, and RAG systems using Python, FastAPI, LangChain, TypeScript, and React. Use Claude Code and other AI-assisted tools daily for development, debugging, and iteration. Collaborate on software optimization, code reviews, root-cause analysis, architecture improvements, testing, documentation, scalability, reliability, and security. Translate requirements into production-ready applications and support planning through user stories and estimates.

Own Motive’s internal AI product strategy and roadmap for go-to-market teams. Translate business needs into technical requirements, guide agile development and releases, manage AI data and usage policies, evaluate vendors, forecast LLM costs, build investment cases, and drive adoption through training and executive communication. Partner closely with revenue developers, enterprise systems, procurement, legal, infosec, and business leaders to deliver AI agents, applications, and prompts.

Own Motive’s global financial products compliance program across AML/BSA, sanctions, KYC/KYB, PEP screening, transaction monitoring, lending compliance, audits, and regulatory relationships. Develop policies and controls, ensure operational effectiveness, manage bank and card network partners, monitor regulatory changes, support compliant product launches, and establish governance across multiple jurisdictions including the US, Canada, and UK/EU. Build the compliance function and advise leadership on compliance risk.

Leads BECU’s enterprise product management function, establishing product lifecycle standards, governance, operating models, and roadmap practices. Coaches product leaders and product coaches, aligns business and technology priorities, manages dependencies and execution risks, and advises senior leadership. The role also leads product councils, supports talent development, and drives product transformation across a complex, matrixed organization.

As an Applied Scientist, you will develop quantitative models for decision-making in pricing, resale strategy, and risk management, involving hands-on coding and collaboration with other teams.