Top Tech Jobs & Startup Jobs in Seattle, WA

Leads the architecture, development, testing, deployment, monitoring, and optimization of Workday integrations, APIs, automations, and custom applications. Partners with People, Engineering, IT, Analytics, and Product stakeholders to translate business needs into scalable solutions. Provides Workday API and data architecture expertise, troubleshoots complex issues, manages technical delivery, improves reliability, and evaluates emerging technologies including AI-assisted development and agentic workflows.

Leads company-wide privacy and security programs across Access and Privacy Engineering. Translates ambiguous risks and regulatory priorities into governance models, roadmaps, controls, execution plans, metrics, and measurable outcomes. Builds intake, prioritization, escalation, dependency, exception, and closure mechanisms; drives privacy-by-design, data governance, adoption, risk validation, leadership reporting, and continuous improvement. Partners with Engineering, Product, Infrastructure, Legal, Compliance, Security, and business teams.

Lead the vision, strategy, roadmap, development, growth, and adoption of Snap’s advanced ads measurement products. Evaluate causal inference, experimentation, attribution methods, privacy changes, signals, brand safety, and industry standards. Coordinate Engineering, Data Science, Marketing Science, Sales, Partnerships, and Product Marketing while building relationships with external measurement partners and industry bodies. Drive alignment, customer-impacting delivery, and advertiser understanding of Snap advertising value.

Leads Snap’s Content Machine Learning Engineering organization, setting multi-year strategy for recommendation, ranking, content understanding, reliability, and experimentation. Oversees distributed teams, develops organizational roadmaps, partners with executives and cross-functional leaders, influences scalable architecture decisions, and builds high-performing engineering teams. The role requires strong expertise in machine learning, deep learning, AI, ranking systems, and large-scale engineering leadership.

Build and maintain scalable full-stack web applications for Snap’s user-facing products. Develop interfaces and services, optimize performance, contribute to shared libraries, analyze operational and engagement metrics, and use AI-assisted workflows while maintaining code quality, security, scalability, and production readiness.

Leads threat-informed security programs by translating offensive security, threat intelligence, and incident response insights into risk-reduction initiatives. Partners with engineering teams to implement security controls, drive secure platform adoption, establish performance metrics, communicate outcomes, and automate inefficient processes. Requires broad information security expertise, complex program management experience, and familiarity with cloud infrastructure and BeyondCorp.

Leads Technical Advertiser Solutions for Small and Medium Clients, managing consultants and partnering with sales, operations, product, engineering, and vendors. Develops advertiser support strategies, resolves technical campaign issues, analyzes auction and measurement performance, improves scaled workflows, pilots proactive programs, and provides data-driven product feedback. The role requires expertise in programmatic advertising, digital measurement, analytics, and team leadership.

Own go-to-market strategy for Snap’s brand video solutions, developing positioning, sales enablement, advertiser insights, competitive intelligence, and performance narratives. Partner with Product, Sales, Marketing Science, and leadership to launch formats, improve advertiser experiences, define KPIs, drive adoption and revenue, and scale global marketing programs. The role requires expertise in brand advertising, digital monetization, social and CTV video, executive communication, and AI-enabled workflow automation.

Build and operate large-scale ML infrastructure, including feature pipelines, model training and evaluation systems, high-performance inference services, data management platforms, and model orchestration tools. The role partners with ML engineers to deploy models into production, improve system reliability and efficiency, and maintain secure, scalable, production-ready services using Python, Java, and related AI technologies.

Lead research in language models, personalization, recommendation systems, information retrieval, and generative modeling. Build scalable machine learning prototypes, conduct large-scale distributed experiments, publish findings, mentor junior researchers and interns, and partner with engineering teams to deploy technologies serving Snapchat users. The role requires strong Python and PyTorch expertise, research leadership, publications, and experience applying language models to search, ranking, or personalization.