Creative SSP powering programmatic native and connected TV ads
TripleLift operates a creative supply-side platform (SSP) focused on native, in-feed, and connected TV advertising. The stack reveals a mature, data-driven infrastructure: Snowflake + Databricks + Apache Spark + Airflow for analytics and ML (scikit-learn, ONNX), Redpanda for streaming, AWS for compute, plus Prebid and Google Ad Manager for programmatic plumbing. The hiring profile is sales-heavy (nearly 50% of open roles) with Director-level leadership gaps in sales and engineering, indicating rapid go-to-market scaling alongside infrastructure build-out—consistent with active projects around CTV/retail media expansion and new customer onboarding.
Notable leadership hires: Sales Director, Director of Engineering
TripleLift is a creative SSP founded in 2012, serving publishers, advertisers, and agencies across native, programmatic, OTT, and connected TV formats. The platform combines ad-format innovation with measurement and outcome optimization. The company operates from New York with 201–500 employees, currently expanding in North America and the UK. Core pain points cluster around scaling CTV revenue, managing cloud costs, and increasing publisher liquidity—operational challenges typical of a platform trying to grow supply-side volume while maintaining unit economics.
TripleLift's stack includes Prebid and Google Ad Manager for programmatic, Snowflake and Databricks for analytics, Apache Spark and Airflow for data pipelines, Redpanda for streaming, and AWS infrastructure. Finance and billing run on NetSuite and Sage IntAcct.
Primary initiatives include scaling CTV and retail media revenue, onboarding new customers, expanding DSP partnerships, and building resilient AWS infrastructure. Strategic focus also includes improving supply exchange health and identifying new growth opportunities.
TripleLift'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.