Top Tech Jobs & Startup Jobs in Seattle, WA

Lead the strategy, roadmap, and lifecycle of LiveRamp’s core platform, including data ingestion, catalog, APIs, activation, permissions, observability, and shared services. Partner with Engineering, Architecture, Security, Privacy, customers, and go-to-market teams to build scalable, secure, reliable, and reusable platform capabilities. Define metrics, prioritize investments, guide execution, represent the platform with executives and customers, and mentor product managers.

Own global product deployments, production environments, reliability monitoring, alerting, CI/CD tooling, Terraform infrastructure, and first-line operational support. Diagnose and resolve product issues, optimize Kubernetes performance and costs, enhance documentation, establish SRE practices, secure cloud systems, and mentor engineers across distributed international teams.

Develops scalable self-service analytics, data science frameworks, predictive and causal models, experimentation strategies, semantic layers, and AI-powered analytics tools. Partners with Product, Engineering, Design, and data engineering teams to improve product adoption, engagement, retention, and monetization insights. Leads complex analytics initiatives, ensures analytical rigor and governance, communicates findings to executives, and mentors analysts and data scientists.

Designs, deploys, and improves production machine learning and statistical models for identity resolution, entity matching, measurement, and analytics. Responsibilities include transforming large datasets, engineering features, developing evaluation and experimentation frameworks, monitoring deployed systems, communicating recommendations, partnering with product and engineering, and mentoring data science colleagues.

Manage and develop a team of 4–6 analysts delivering customer reporting and analytics. Lead complex analyses, establish standards for rigor and reproducibility, oversee project delivery, present findings to stakeholders, and partner with Product and Engineering on measurement products and AI-enabled analytics tools. The role requires deep advertising measurement expertise, client-facing communication, dashboard development, and hands-on proficiency in SQL, Python, Excel, statistical methods, and analytics platforms.

Designs, develops, and delivers technical training for internal customer experience teams, partners, and SaaS customers. Responsibilities include learning complex products, creating instructional materials, leading virtual and in-person sessions, coordinating with Product and Engineering, supporting technical implementations and escalations, documenting knowledge, and improving courses through learner feedback. The role also establishes onboarding processes and applies adult-learning principles to make training scalable and effective.

Lead development of a large-scale data processing and ingestion platform, migrate complex use cases, architect and implement backend systems, support production operations, and mentor software engineers. The role involves processing billions of records daily, validating and anonymizing data, improving system performance, diagnosing technical issues, and driving initiatives across engineering teams.

Own technical customer onboarding and adoption for LiveRamp’s ad tech solutions. Design integrations, configure data onboarding and identity workflows, troubleshoot APIs and distributed systems, and coordinate with product, engineering, legal, and privacy teams. Track adoption, manage escalations, document solutions, deliver customer training, advocate for product improvements, and communicate milestones to technical and business stakeholders. Occasional travel supports client meetings, workshops, and industry events.

Owns the roadmap and execution of customer-facing and internal Data Subject Rights tools. Responsibilities include improving privacy vendor integrations, distributing opt-out and deletion requests, automating DSR processes, optimizing user experiences, documenting privacy workflows, and supporting customers and internal teams. The role requires product management expertise, privacy regulation knowledge, Scrum experience, roadmap prioritization skills, and digital advertising industry knowledge.

Partner with leadership to provide financial insights, manage expense forecasting and annual planning, develop performance metrics, identify cost-saving opportunities, and support strategic decisions. Lead process improvements to enhance reporting and forecasting scalability and accuracy while collaborating cross-functionally on financial analyses and ad hoc projects.