Research Lab. Exploring new frontiers of voice generation. We are researching and deploying novel methods in voice AI to make content enjoyable in any language and voice to benefit new audiences and viewers.
2 - 10 employees
π° $19M Series A on 2023-06
February 15
Research Lab. Exploring new frontiers of voice generation. We are researching and deploying novel methods in voice AI to make content enjoyable in any language and voice to benefit new audiences and viewers.
2 - 10 employees
π° $19M Series A on 2023-06
β’ This role is remote, so it can be executed globally. β’ Weβre looking for an experienced, hands-on Data Scientist to lead analytics and operations for our paid marketing efforts. β’ This role is central to significantly scaling our reach across digital and traditional paid marketing channels and platforms. β’ Own our marketing measurement strategy β from attribution modeling to incrementality testing β ensuring we have a crystal-clear view of what drives performance across our marketing mix. β’ Build and optimize dynamic LTV models that power our spend decisions, helping us target the right customers and maximize ROI across both B2B and B2C segments. β’ Create intuitive dashboards and reporting systems that track campaign performance and uncover optimization opportunities across digital and traditional channels. β’ Conduct detailed analysis to uncover trends, opportunities, and areas for optimization. β’ Work with engineering to drive automation and efficiency by procuring, implementing and managing our MarTech stack, including our marketing automation and tag management systems that scale our marketing operations.
β’ We are seeking someone with a track record of driving meaningful business growth through paid marketing initiatives at a software company. β’ Experience building and scaling marketing measurement frameworks from the ground up, including multi-touch attribution models, incrementality measurements, LTV models, audience segmentations, etc. β’ Familiarity with analytics tools across the modern data and MarTech stack (SQL, python, BI tools, dbt, Google Tag Manager, etc.) β’ Technical enough to dive into the codebase when needed β whether it's implementing tracking pixels, building data pipelines, or stitching data together across disparate data sources. β’ Experience working on a dual B2C/B2B business models. β’ Experience implementing and scaling MarTech stacks.
β’ High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. β’ A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) β’ Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings. β’ Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.
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