Performance marketing and lead generation across paid media channels
Launch Potato runs consumer brands that turn paid traffic from Google, Meta, YouTube, Pinterest and Taboola into leads and conversions for advertisers. Its AWS streaming stack (Kinesis, Glue, Spark, Athena/Presto) feeds bidding and quality models, and hiring is weighted almost entirely toward marketing and data at lead and staff level, a sign that ROAS-driven media buying and insurance vertical modeling are where the company is scaling.
Launch Potato is a privately held performance marketing company founded in 2014 and headquartered in Delray Beach, Florida. It operates brands and technology that connect advertisers with consumers from awareness through purchase, with a focus on customer acquisition and lead generation. The company employs 51–200 people and hires across the United States, Canada, Peru, Ecuador, Uruguay and Brazil. Its engineering runs on Python with Django and FastAPI, deployed on AWS ECS and Lambda with Terraform and CircleCI.
Launch Potato builds on AWS (ECS, Lambda, Kinesis, Glue, Athena) with Python, Django, FastAPI, Spark and Presto. It uses Looker, Tableau and Power BI for BI, and Terraform and CircleCI for infrastructure and CI/CD.
Yes. Data is one of its two main hiring areas alongside marketing, with most openings at lead and staff seniority, centered on ROAS buying models, lead quality and insurance vertical modeling.
Launch Potato hires in the United States, Canada, Peru, Ecuador, Uruguay and Brazil, and is headquartered in Delray Beach, Florida.
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Launch Potato'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.