Top Tech Jobs & Startup Jobs in Seattle, WA

Own the technical sales process for data products from discovery through close. Partner with account teams, lead architecture discussions, demos, proofs of concept, evaluations, ROI modeling, and technical objection handling. Translate customer needs into solutions involving BI, warehouses, APIs, and benchmarking. Support product feedback and post-sale handoff while helping build sales processes, collateral, and evaluation playbooks in an emerging data products organization.

Lead development of scalable software solutions across frontend and backend systems. Build React and TypeScript interfaces, C# .NET and Node.js services, Terraform-managed AWS infrastructure, and optimized MSSQL schemas and queries. Collaborate on requirements and roadmaps while promoting code quality, testing, RESTful architecture, and CI/CD best practices. The role also uses generative AI tools and coding agents, with preferred experience in Docker, Kubernetes, serverless computing, and automated testing.

Define and advance secure, scalable AWS cloud platform capabilities; modernize legacy infrastructure; establish reliability practices, observability, SLOs, incident response, and deployment standards; improve developer experience through automation and self-service tooling; and mentor engineers while influencing architecture and platform strategy.

Supports data product managers by refining requirements, defining acceptance criteria, validating SQL-based data logic, reconciling metrics, and testing dashboards and data products. Investigates discrepancies, supports regression testing, manages stakeholder data questions, documents QA artifacts, and improves validation workflows through automation. The role bridges product execution, data quality, BI troubleshooting, and engineering collaboration.

Develop and maintain manual and automated tests for web, mobile, API, and integrated software systems. Create test cases, test plans, automation scripts, and testing strategies; investigate defects; validate releases; query databases; and integrate automation into CI/CD pipelines. Collaborate closely with Product, Engineering, and DevOps teams to improve coverage, reliability, and software quality in an Agile SaaS environment.

Own production reliability across cloud environments by defining SLOs, SLIs, error budgets, observability practices, and actionable dashboards. Troubleshoot incidents, perform root cause analysis, manage capacity planning, and improve service performance and availability. Build automation to reduce toil, support release management, maintain runbooks, and collaborate with engineering teams on operational readiness. Manage tools including Datadog, Prometheus, and Grafana while advancing monitoring, logging, metrics, tracing, and reliability practices.

Lead hands-on full-stack development for Ruby on Rails, TypeScript, and React applications. Shape technical direction, design reliable APIs and data flows, optimize relational database performance, and deliver responsive front-end experiences. Lead projects end to end, mentor engineers, review and refactor code, collaborate cross-functionally, and explore AI-assisted engineering and LLM automation while protecting sensitive healthcare data.

Manage a complex customer portfolio, maintaining customer health, NPS, engagement, adoption, and growth KPIs. Build executive-level relationships, develop action plans, promote product best practices, identify risks, manage escalations, and support expansion opportunities. Collaborate cross-functionally with Account Management, Product, Professional Services, and Support. Mentor junior Customer Success Leads, serve as a subject matter expert, and contribute to team initiatives and task forces.