Audiohook is a leading demand-side platform (DSP) for audio advertising, offering unparalleled reach to consumers and publishers. Specializing in podcast and audio marketing, Audiohook provides an innovative and impactful approach to advertising. Their proprietary, patent-pending technology and commitment to measurable results make them the choice for advertisers looking to amplify their message. Audiohook ensures privacy-safe tools, closed-loop attribution, transparency reporting, and comprehensive analytics, making audio advertising efficient and measurable. The company works with popular audio networks like Spotify, iHeartRadio, and Pandora, and offers programmatic podcast advertising solutions for maximized efficiency and reach. Trusted by numerous brands, Audiohook simplifies the process of running audio ad campaigns while maintaining brand authenticity.
11 - 50 employees
βοΈ SaaS
February 15
πΊπΈ United States β Remote
π΅ $140k - $170k / year
β° Full Time
π Senior
π§βπ» Full-stack Engineer
Audiohook is a leading demand-side platform (DSP) for audio advertising, offering unparalleled reach to consumers and publishers. Specializing in podcast and audio marketing, Audiohook provides an innovative and impactful approach to advertising. Their proprietary, patent-pending technology and commitment to measurable results make them the choice for advertisers looking to amplify their message. Audiohook ensures privacy-safe tools, closed-loop attribution, transparency reporting, and comprehensive analytics, making audio advertising efficient and measurable. The company works with popular audio networks like Spotify, iHeartRadio, and Pandora, and offers programmatic podcast advertising solutions for maximized efficiency and reach. Trusted by numerous brands, Audiohook simplifies the process of running audio ad campaigns while maintaining brand authenticity.
11 - 50 employees
βοΈ SaaS
β’ Python (our primary backend language) β’ Node.js β’ PostgreSQL β’ Iceberge Datalake β’ Vue.js (front-end framework) β’ AWS Lambda, Firehose, Glue β’ GCP / Kubernetes
β’ 5+ yrs of experience minimum (ideally 8+ yrs) β’ Machine learning experience β’ At least some AI experience using and implementing LLMs β’ Amazing tech skills and demonstrable mastery of problem solving skills are table stakes β’ Must be able to comment on Pull Requests and do some light work in the front-end
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