Top Tech Jobs & Startup Jobs in Seattle, WA

The VP of Data and AI will define and execute data and AI strategies, lead technical teams, oversee data platform infrastructure, and drive measurable business outcomes.

The Accounting Manager will oversee accounting operations, ensure accurate financial reporting, manage payroll and intercompany transactions, and drive process improvements.

Maintain and enhance Zendesk instances and integrations, implement Zendesk AI features, administer configurations and business rules, develop documentation, troubleshoot issues, optimize performance, provide technical guidance, and build reports and dashboards with Zendesk Explore.

As a Sr. Data Engineer at Lyra Health, you will build and scale core data infrastructure, design data warehouses, and create efficient data pipelines while collaborating across departments.

Lead a small engineering team as a hands-on technical manager: design, develop, and deploy core product functionality; grow and scale the team; collaborate with product, data, and clinical partners; enforce software development and deployment best practices.

The role involves enhancing Salesforce instances, integrating complex systems, configuring Service Cloud features, and collaborating with stakeholders to optimize business processes

Lead a small engineering team as a hands-on technical manager to design, develop, and deploy core product features. Hire, scale, and mentor engineers while ensuring high quality, security, and best practices. Collaborate with Product, Data, and Clinical partners and drive execution for a new health plans and systems vertical and Bend Health platform work.

The VP of Client Services will lead the strategic vision and operations of the Care Navigator Team, focusing on service excellence, data analytics, and cross-functional collaboration to enhance member care and drive enterprise growth.

Lead product strategy and execution for data and AI platforms, driving GenAI/LLM initiatives, cross-functional collaboration, responsible AI governance, experimentation (A/B testing), measurement of model impact, and mentoring product teams to embed scalable ML capabilities into clinical and member experiences.

Lead and grow a team of Customer Success Managers to drive member engagement, retention, revenue expansion, and KPI accountability. Manage forecasting, risk mitigation, executive client engagement, cross-functional collaboration, reporting, and escalations across employer-sponsored health segments.