Top Tech Jobs & Startup Jobs in Seattle, WA

Own the full device lifecycle across macOS, Windows (and ChromeOS), build BYOD and device-trust programs in a HIPAA-regulated environment, integrate endpoint management with identity and automate onboarding/offboarding and remediation using scripting, iPaaS and AI, partner with Security and stakeholders, own roadmap, and participate in a light on-call rotation.

Design, standardize, and automate the IAM lifecycle and workflows. Integrate and maintain IdP connections, drive RBAC/least-privilege adoption, automate provisioning/deprovisioning, resolve identity incidents, document processes, and partner with stakeholders to establish IAM governance.

Own strategy and roadmap for core insurance/payment platforms, driving claims processing through reconciliation. Design automated workflows with robust exception handling, reduce financial leakage, build internal tooling for operations, and lead cross-functional initiatives with Engineering, Data, Operations, and Finance to improve provider and patient payment experiences.

Lead architecture and evolution of Headway's data platform (warehouse, ingestion, orchestration, CI/CD, monitoring, cloud infra). Serve as technical anchor across analytics, product, and ML teams, drive platform roadmaps, set standards, mentor engineers, and own end-to-end infrastructure decisions for scale and performance.

Lead and grow a data engineering team, define data platform architecture and reliability (warehouse, ingestion, transformations, orchestration), set engineering standards, partner cross-functionally to support analytics and ML, and translate technical decisions for executive stakeholders.

Lead and grow an engineering team focused on provider growth. Partner with Product, Design, Marketing, and Data to build systems for acquisition, experimentation (A/B testing), AI-assisted experiences, lead capture/scoring/routing, and scale infrastructure while remaining an active technical contributor and mentor.

Lead product measurement strategy and complex evaluation for major product areas. Own experimentation standards, design causal and Bayesian analyses, build scalable measurement systems and dashboards, drive cross-team initiatives, mentor data scientists, and influence product decisions to improve mental healthcare outcomes.

Own patient experiences across Health Systems, EAP, and Payer channels. Design referral-to-booking flows, co-branded journeys, provider directory improvements, and run multi-sprint experiments to improve conversion. Prototype and present working demos to partners, collaborate with PM, engineering, BD, and ops, and use AI-first tools to iterate from planning through launch.

Lead measurement and decision systems for patient growth: own incrementality, design experiments, build LTV/retention/forecasting models, create trusted marketing metrics, partner with Engineering for measurement plumbing, diagnose performance shifts, influence channel allocation, and mentor growth analytics teams.

Lead end-to-end design of an AI-agent-powered provider onboarding experience to replace multi-page credentialing forms. Partner with PM and Eng to prototype with AI tools, conduct provider research, improve conversion, and contribute to the design system and team AI practices.