Top Tech Jobs & Startup Jobs in Seattle, WA

Manage full-cycle recruiting for Sales, Marketing, and Operations roles, from intake through onboarding. Responsibilities include sourcing passive candidates, screening and interviewing applicants, advising hiring managers, negotiating offers, maintaining talent pipelines, tracking recruiting metrics, ensuring EEO and compliance adherence, and improving recruitment processes using Workday ATS and Phenom CRM.

Own post-sale client relationships for small-business accounts, serving as a strategic advisor and driving adoption, retention, renewals, upsells, cross-sells, and ARR growth. Lead business reviews, product enablement, issue resolution, customer advocacy, and success reporting while coordinating cross-functionally with Sales, Product, Engineering, and Support. The role requires expertise in benefits administration products and regulations, strong relationship-building skills, and proficiency with CRM platforms.

Leads the vision, architecture, roadmap, and enterprise adoption of WEX’s semantic data and Data-as-a-Service platform. Builds trusted semantic business objects incorporating relationships, metadata, lineage, governance, quality, and business context. Enables analytics, data products, decisioning, AI, and agentic applications while leading senior engineering and technical leadership teams. Partners across product, business, risk, finance, analytics, and engineering to establish scalable platform standards and deliver measurable outcomes.

Own the strategy, roadmap, discovery, and delivery of embedded payments products and platform capabilities. Partner with engineering on payment APIs, infrastructure, architecture, and Scrum team delivery. Use customer insights and product data to prioritize roadmaps, measure outcomes, modernize payment capabilities, and support partner integrations. Collaborate across product, engineering, analytics, UX, and business teams while considering compliance, risk, fraud, and confidential information.

Own WEX’s enterprise context layer for AI agents, including semantic data models, retrieval and grounding standards, workflow context packs, evaluation benchmarks, and governance controls. Partner with engineering, data, security, compliance, and business teams to prioritize initiatives, improve agent accuracy and authorization, consolidate knowledge systems, and measure business value. The role requires hands-on technical fluency with SQL, APIs, retrieval traces, data modeling, AI evaluation, and enterprise security.

Lead the vision, strategy, and organizational growth of Payments SRE across reliability, observability, automation, incident management, performance, capacity planning, and disaster recovery. Manage SRE leaders and engineers supporting high-availability, low-latency payment systems. Partner with executives and engineering and product teams, drive compliance and operational excellence, mentor leaders, build reliability frameworks, and advance AI-enabled operations.

Leads engineering teams developing the EnCompass Corporate Payments platform, including customer-facing applications, APIs, webhooks, and data streams. Establishes technical vision, architectural roadmaps, engineering practices, and delivery mechanisms. Partners with product and commercial teams, hires and develops engineers, promotes innovation, and improves time-to-market. Requires substantial software engineering and management experience, cloud expertise, automated testing knowledge, and understanding of cloud security and compliance.

Own enterprise IAM strategy, governance, engineering, and operations for identity lifecycle management. Lead IAM Operations and Engineering teams, modernize SailPoint IdentityIQ to Identity Security Cloud, automate joiner-mover-leaver workflows, and integrate hundreds of applications. Partner with application owners and Information Security on data standardization, testing, provisioning, and deployment. Drive RBAC/ABAC, entitlement rationalization, segregation of duties, directory modernization, ITIL adherence, automation, and measurable risk reduction.

Develop machine learning and statistical models to identify, measure, and manage credit and fraud risk. Partner with stakeholders to translate requirements into scalable solutions, analyze large application and transaction datasets, deploy end-to-end models, and improve risk decision-making. The role requires advanced Python or R and SQL skills, expertise in fraud and underwriting models, model deployment, statistical methods, and mentoring junior data scientists.

Leads a team of Expense Management Account Executives, owning pipeline creation, sales goals, win rates, and quota achievement. Responsibilities include hiring, coaching, performance management, sales strategy execution, team development, strategic customer involvement, and collaboration with product teams. The role also supports bringing new products to market and building a high-performing sales culture within the B2B payments business.