Ad tech, monetization and measurement platform for digital audio and podcasts
Triton Digital supplies streaming, monetization and audience measurement technology to broadcasters, podcasters and online music services. Its stack pairs programmatic buying channels (DV360, The Trade Desk, Amazon DSP) with Kafka, Spark and Databricks, and job posts show a push into LangChain/LangGraph-based RAG and agentic AI. Recurring pain points around low bid rates and marketplace efficiency point to monetization yield as the core pressure.
Triton Digital is a privately held technology and services company serving the digital audio, podcast and broadcast radio industries. It helps broadcasters, podcasters and online music services grow listenership, generate advertising revenue and run daily operations, and offers online audio and podcast measurement services. The company is headquartered in New York, NY, employs 201–500 people, and reports operating in more than 80 countries. Current hiring spans Canada, the United States and Qatar, with marketing the largest function being recruited alongside data, engineering and design.
Triton Digital uses Python (FastAPI, Django, Flask), Scala, Kafka, RabbitMQ, Apache Spark and Databricks across AWS, GCP and Azure, with Kubernetes, Datadog, Grafana, and LangChain/LangGraph for AI work.
Yes, hiring is accelerating, led by marketing with additional data, engineering and design roles at mid and senior levels, in Canada, the United States and Qatar.
Job posts point to an AI chatbot backend, RAG pipelines, agentic AI integration, CI/CD for ML workflows, Spark pipeline optimization, Databricks deployment and DSP analytics dashboards.
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Triton Digital's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.