Verve operates a dual-sided ad-tech stack—DSP (demand) and supply technologies—built on Kafka, Spark, and BigQuery for real-time bidding and audience targeting. The company is actively scaling data science infrastructure (TensorFlow, PyTorch, scikit-learn) while grappling with classic high-growth operational friction: control gaps, data-processing efficiency, and sales-process optimization. Leadership hiring (Head of Product, Account Director roles open) suggests a shift toward operational maturity as the organization manages complexity at 501–1,000 headcount.
Notable leadership hires: Head of Product, Account Director
Verve is a public, New York-based advertising technology company that builds demand-side and supply-side platforms for programmatic media buying and monetization. The product ecosystem spans mobile, location-based, and premium audience targeting across multiple screens. Verve serves more than 90 of the top 100 U.S. advertisers, 4,000 publishers globally, and the world's leading demand-side platforms. The company operates 22 offices across the globe and is a subsidiary of Media and Games Invest (MGI). Current hiring activity (65 open roles, 39 posted in the last 30 days) is concentrated in sales and engineering, with expansion across Germany, India, Mexico, Sweden, United Kingdom, Brazil, and Canada.
Verve's core stack includes Kafka, Apache Spark, BigQuery, and Dataflow (GCP), with Java, Scala, Go, and Python for application code. For ML, the company uses TensorFlow, PyTorch, and scikit-learn. Orchestration runs on Kubernetes and Docker; CI/CD via GitHub Actions and Jenkins; monitoring via Grafana and Elasticsearch.
Active projects include bid optimization, a retail media platform, streaming and batch processing infrastructure, scalable data science systems, and demand pipeline and demand shaping strategies. Internal initiatives focus on workforce planning, incident management processes, and account management workflows.
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