Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Build and maintain scalable monitoring solutions and dashboards to track production, campaign, and operational data. Analyze large-scale datasets to detect anomalies, perform root-cause investigations with Engineering and Production Operations, and deliver actionable insights to improve platform reliability and operational efficiency.

Own end-to-end authentication and campaign setup/management UI, translate product strategy into executable roadmaps, drive squad delivery, align stakeholders, use data to prioritize, and partner with engineering to manage technical sequencing and risk for high-traffic, revenue-critical advertiser flows.

Design and prototype user-centric experiences for MNTN's SaaS self-serve advertising platform. Collaborate cross-functionally across product, engineering, QA, and customer teams through research, wireframes, mockups, and shipped features. Advocate for user engagement, iterate on design systems, mentor with the Platform Squad, and help grow product design efforts.

The Principal Strategist, Ad Measurement will devise advanced measurement strategies and performance validation within the CTV ecosystem, partnering with internal teams and customers to ensure effective measurement approaches and actionable insights.

As a Senior Software Engineer at MNTN, you'll design and operate backend systems for ad delivery, ensuring high performance and reliability. You'll work with Java, Kotlin, and Scala to handle high-throughput services and contribute to architectural decisions while improving system efficiency.

As a Senior Backend Engineer, you will enhance the Integrations platform for managing large data streams, collaborating with teams, and optimizing connectors.

Lead development of graph-based identity resolution for CTV advertising: design models and validation, analyze large identity datasets with distributed tools, productionize data-science workflows, partner with engineering/product, and apply privacy-by-design while leveraging LLMs and AI-assisted development.

Lead customer analytics to measure and improve campaign and product performance. Build scalable data models, dashboards, and reports; perform segmentation, cohort, forecasting, anomaly detection, and ad-hoc analyses; ensure data quality and rigorous QA; communicate insights and recommendations to technical and non-technical stakeholders.