Top Tech Jobs & Startup Jobs in Seattle, WA

Lead and conduct workplace investigations, manage reasonable accommodation requests, support policy and handbook updates, deliver anti-harassment and regulatory training, track ER metrics, analyze trends and recommendations, and proactively support employee relations programs across Snap.

Lead and scale global revenue-retention initiatives for Snap's Small and Medium Customers. Own strategy, go-to-market roadmaps, KPIs, and cross-functional execution (Product, Engineering, Sales, Marketing, Data). Plan, test, and scale growth programs to increase adoption and retentive revenue while presenting results to senior leadership.

Lead research in user modeling and personalization, focusing on generative and language models, recommendation and retrieval systems. Build scalable prototypes, partner with engineering to deploy solutions, mentor junior researchers and interns, and publish work at top conferences.

Lead and coach a team of Client Partners to drive revenue growth within a vertical. Build client and agency relationships, set and manage quotas/KPIs, define measurement strategies, translate vertical trends into strategic growth opportunities, and support sales leadership on quotas and account assignments.

Lead and mentor a team of full-stack engineers to define strategy, roadmap, and measurable goals. Collaborate with Product, Data Science, Operations, and executives to deliver scalable, high-availability services. Make technical tradeoffs, hire and retain talent, apply AI tools responsibly, and ensure code correctness, security, and production quality while executing large, complex initiatives.

Build and maintain People-team backend services and automations: design scalable solutions, integrate AI/LLM APIs, create middleware and chatbot integrations (Slack, Workday, Jira), automate HR workflows, deploy cloud services, and mentor junior engineers while ensuring operational excellence and testing.

Lead vision and roadmap for large-scale recommender systems across Spotlight, Discover, and Friend Stories. Technically lead engineering teams, design next‑generation recommender and retrieval architectures, incorporate SOTA research and foundation models, advance ML infrastructure for scalability and reliability, and partner cross-functionally to drive experimentation, operational excellence, and cost-effective production deployments.

The Staff Machine Learning Engineer will lead the development of search ranking systems, focusing on machine learning models for relevance, quality, and personalization through various advanced techniques and collaboration with cross-functional teams.

Lead technical strategy, architecture, and implementation for ML inference platform services. Design and scale distributed, high-throughput inference systems, collaborate across teams, drive availability, scalability, operational excellence, cost management, and provide company-wide technical direction and mentorship.

Lead technical direction, design, build, and operate Snap's large-scale service and compute infrastructure. Drive platform roadmaps, reliability, observability, CI/CD, and developer experience. Act as hands-on staff tech lead across cross-functional initiatives, mentor engineers, and shape infrastructure for an AI-first future.