Top Tech Jobs & Startup Jobs in Seattle, WA

Lead employment, privacy, and security legal matters for a remote mental-health company. Provide practical counsel on worker classification, HIPAA and state privacy compliance, breach response, contracts, and AI-related employment/privacy issues while building policies and processes to support operations.

Lead data-driven provider quality initiatives across the provider network: analyze large datasets, identify gaps and opportunities, design and execute cross-functional programs (note quality, provider reviews, AI documentation), and measure outcomes to improve core metrics.

Drive growth of contracted mental health providers through full-cycle, high-velocity outbound sales and in-person relationship management. Sell and close providers within a 2-hour radius of Dallas (in-field ≥3 days/week), maintain remote strategies for other accounts, self-source pipeline, manage deals in CRM, and support up to 50% local travel.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

Design and build scalable, reliable backend systems and third-party integrations for provider-patient workflows and telehealth. Drive development lifecycle, solve complex technical challenges, and collaborate cross-functionally to ensure performance, security, and availability.

Lead full-cycle enterprise sales with national employer accounts: source, qualify, negotiate, and close complex deals. Build executive relationships, maintain a 3x pipeline, create business cases, and scale repeatable playbooks to exceed quota.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

Lead and build a new Trust & Safety engineering domain: design and implement systems to detect and mitigate fraud, billing anomalies, and credential abuse. Architect product and operational solutions, mentor engineers, define processes, and deliver scalable, auditable safety tooling across internal and external workflows.

Manage and coach a security operations team responsible for detection, investigation, and incident response. Perform hands-on work designing/tuning detections, operating SIEM/SOAR, leading incident response, improving automation and runbooks, and managing vendor relationships to protect patient and provider data.

Design and automate partner-facing reporting systems, transform complex healthcare data into clear insights, present findings to external stakeholders, support partner success, and collaborate cross-functionally to scale analytics workflows and uncover operational and clinical trends.