Taxy.io

• Lead, mentor and develop the marketing team (including operational and disciplinary leadership). • Plan, implement and continuously improve the marketing and communications strategy. • Create, execute and evolve a cross-product marketing strategy. • Own all lead channels, including the website, blog, newsletter and social media channels. • Define, analyze and monitor key KPIs to ensure channel and campaign success. • Apply AI strategically to increase efficiency and automate marketing processes. • Conduct continuous performance analysis across the entire marketing funnel. • Take ownership of lead and brand management. • Share responsibility for short- and medium-term sales performance. • Perform regular analyses to continuously monitor the market and competitive landscape. • Coordinate and communicate with external service providers and partners. • Own marketing budget planning. • Participate in trade shows on occasion.

• Holistic product responsibility & AI-native engineering • End-to-end product ownership • Direct client advisory and communication • AI-native software development • Architecture & RAG (Retrieval-Augmented Generation) optimization • Strategic involvement

• Collaborate with major clients and partners • Clearly explain technical concepts and propose solution recommendations in direct collaboration with major clients and partners. • Evaluate, monitor, and continuously improve the performance of our Retrieval-Augmented Generation (RAG) pipeline to ensure high-quality responses to legal queries. • Prototype, evaluate, and enhance our RAG pipeline to increase response accuracy, speed, and cost-efficiency. • Fine-tune large language models (LLMs) to ensure precision and relevance when answering legal questions. • Design, implement, and maintain robust ETL pipelines for seamless data transformation. • Optimize workflows for storing and managing parsed content in a vector database to enable efficient information retrieval. • Develop and improve embedding and chat models to optimize the user experience. • Work closely with the software engineering team to seamlessly integrate AI/ML components into the overall product architecture. • Deploy LLMs and associated models to production using Azure cloud infrastructure to ensure optimal performance and reliability. • Collaborate with the operations team to automate model deployments using Terraform and other CI/CD tools to ensure scalability and efficiency.