Top Tech Jobs & Startup Jobs in Seattle, WA

Build and operate large-scale Spark and Snowflake data pipelines for advertising optimization feeds. Responsibilities include data modeling, performance and cost tuning, partner file and API integrations, data quality and monitoring, privacy-sensitive identity matching, releases, incident response, technical design, project leadership, and mentoring. The role requires production ownership across AWS data workloads, CI/CD, testing, and on-call operations.

The Vice President of Engineering leads engineering execution, technical direction, organizational development, delivery reliability, architecture, operational excellence, security, budget, and cross-functional product delivery. The role requires hands-on leadership across data-intensive SaaS products, distributed systems, cloud infrastructure, and data platforms. The description also includes AI leadership responsibilities involving AI strategy, customer-facing AI products, generative AI, agentic systems, experimentation, responsible AI, and commercialization.

Senior software engineer responsible for designing scalable Java services, leading architectural improvements, and owning technical domains in a high-scale AWS environment. The role emphasizes platform engineering, CI/CD quality, automation, incident analysis, cost optimization, AI-assisted development, mentorship, and cross-functional technical leadership. Required technologies include Java, Spring Boot, MySQL, RabbitMQ, Kubernetes/EKS, Docker, and AWS services.

Leads iSpot’s AI engineering roadmap and team, taking generative AI, agentic workflows, retrieval systems, and machine learning capabilities from prototype to reliable production. Owns AI architecture, evaluation, guardrails, cost, latency, and operational performance while partnering with product, data science, and platform teams. The role combines hands-on coding and experimentation with hiring, technical leadership, roadmap planning, responsible AI, and executive communication.

Lead a full‑stack engineering team to build AI‑augmented workflows, scalable streaming and batch data pipelines, resilient backend services, and high‑quality React frontends. Drive AI-first development, test automation, observability, technical design, mentorship, cross‑functional collaboration, and on‑call system health.

Leads creative and advertising research programs for enterprise brands and agencies. Designs surveys and custom studies, analyzes and interprets creative-testing results, develops competitive and campaign reporting, and presents actionable recommendations to clients. Partners with Sales, Customer Success, Product, Data Science, and Marketing on proposals, methodology, validation, metrics, and thought leadership. Serves as the subject matter expert on creative research while monitoring developments in survey methodology, sample quality, synthetic data, and AI-based testing.

Manage the full consultative B2B sales cycle for iSpot’s media measurement, attribution, optimization services, and AI platform. Responsibilities include prospecting, customized presentations and demos, account planning, pipeline forecasting, negotiations, contracting, relationship management, and closing. The role requires selling complex subscription-based SaaS offerings to brands, collaborating cross-functionally, using AI tools for deal strategy, and achieving sales quotas in a hybrid or remote environment.

Collects, processes, and analyzes data from multiple sources using R, Python, and SQL. Develops reports, visualizations, analytical methods, and data-driven insights while applying statistical and introductory machine learning techniques. Collaborates with internal and external stakeholders, documents project progress in JIRA, debugs code, clarifies requirements, and communicates findings through reports and presentations.

Own product strategy, roadmap, and end-to-end delivery for identity-powered TV measurement features across CTV and streaming. Lead clean room and identity resolution capabilities, conduct market and customer research, define KPIs, and collaborate with engineering, data science, design, sales, and customer success. Advocate for customers, communicate product direction, maintain documentation, and mentor product managers in a data-intensive advertising technology environment.