iSpot.tv

We develop and manage a high-scale Ad Platform infrastructure that handles the end-to-end data lifecycle, from ingestion to a Content Catalog. This platform acts as a central source for all downstream measurement and attribution. We focus on modernizing the platform, including AI-driven cataloging, to ensure high throughput, low latency, and reliability across all our systems. We define front-end architecture and roadmaps for our web platforms, building scalable, performant, and accessible user interfaces. We also integrate GenAI/LLM services into user-facing products. Our solutions engineering team combines business intelligence, technical expertise, and customer service to build data-driven solutions for complex client needs. We also partner with media companies, offering modern media measurement (including ACR, attribution, cross-platform measurement, and ID resolution) through our complex SaaS offerings. We manage partnerships within the Connected TV ecosystem, working as a liaison for data, identity, and attribution partners. These collaborations involve scoping, managing, and operationalizing integrations to improve measurement accuracy and client outcomes. We also develop data-science-driven solutions, building predictive-modeling solutions for our syndicated products and managed services. We continuously test and improve our algorithms. Our product marketing team develops positioning, messaging, and content to support our go-to-market strategies and generate demand.

Our culture focuses on excellence and continuous learning. We aim to drive new business and expansion through expert solutions and education. We emphasize high reliability, strong coding standards, and continuous integration/continuous deployment (CI/CD) practices. A data-driven mindset and cross-functional collaboration are central to our approach.

We operate in a dynamic, fast-paced startup environment, using an agile methodology. Our culture values excellence, continuous learning, and strong cross-functional collaboration. Our teams work together across Product, Data Science, Operations, Design, Engineering, Sales, and Marketing. We emphasize balancing people leadership with technical execution to achieve quality outcomes, and we focus on mentoring our team members.

We offer cash compensation, including a base salary, variable commission for eligible roles, and annual bonus targets. Employees can participate in our equity plan to receive stock options, with an annual equity grant. We provide standard benefits, and non-exempt roles may be eligible for pre-approved overtime pay. We maintain a hybrid and flexible workplace policy, with options for office-based, remote, or hybrid arrangements. For those near Bellevue, WA, or New York, NY, a hybrid schedule typically means 1-3 days per week in the office. Fully remote work is available for those not office-based or located farther from these offices. Some roles may require travel.