🚢 LogSpend is building the self-serve analytics platform for AI-native products. We recognize that building LLM products is hard and so we help product teams get an in-depth view of how their users are interacting with their products so they can build the best AI-powered user experiences.
<aside> 🌎 Location: Barcelona, Spain ☀️ Job type: Full-time
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👨👨👧👦 The next frontier of user experiences will be AI-powered and our mission is to accelerate this transition into an AI-first world by enabling companies create more value for their customers and end users through delightful AI-powered experiences.
🎯 LogSpend equips product teams with the super powers to go beyond tracking explicit user actions to gleaning insights from unstructured user interaction and navigation data. We do this by simplifying complex data collection and reconciliation from multiple sources to ensure high-quality data at the source, automating insight extraction at scale and providing full flexibility on how these insights are consumed and acted upon by product teams.
We’ve processed over 100M user interactions to date and serve several data-driven and AI companies. If you’re excited about the potential to redefine what the future of data-driven organizations should look like in an AI-first world, then you just might have found your band!
🎶 We are a VC-backed company built by two founders who spent the last 6 years at Spotify shipping personalized listening experiences to millions of Spotify users globally.
We are currently seeking an experienced Machine Learning Engineer to join our growing team. As a Founding Engineer on the team, you will be responsible for building a robust, scalable and cost-efficient machine learning infrastructure for extracting valuable insights from heterogenous sources of unstructured and structured data. You will experiment with different types of models and model architectures to come up with novel solutions to enhance our platform’s capabilities.