Role Description Our client is looking for a Growth & Partnerships Lead to help launch and scale our presence in the creator economy, with a strong focus on the OnlyFans ecosystem. This is a hands-on, high-ownership role for someone who can build strategic relationships, open market access, shape go-to-market strategy, and help refine the business as we grow. You will work closely with the technical team to improve product positioning, oversee product quality and functionality, and identify new market opportunities. The role also includes ownership of brand presence, social media, and website coordination from the ground up. We are looking for a high-energy, AI-savvy operator who is comfortable building in fast-moving environments and can help turn Chatbooster into a recognized player in the creator economy space. Flexible location and timezone, with EST overlap preferred. Key Responsibilities - Build relationships and open market access with OnlyFans agencies, creators, and creator economy stakeholders - Develop and execute go-to-market and growth strategies for Chatbooster - Advise on pricing strategy and business model refinement - Coordinate between the technical team and business development efforts - Identify adjacent market opportunities and expansion possibilities - Manage and grow the company’s website, social media, and brand presence - Oversee product quality and functionality alongside the technical team - Gather market feedback to improve product positioning and user experience - Help establish Chatbooster as a trusted product within the creator economy Qualifications - Experience in go-to-market strategy, growth, partnerships, or product launches - Understanding of the creator economy and OnlyFans ecosystem or similar industries strongly preferred - Medium to high-level AI knowledge and familiarity with AI applications - Proven ability to build relationships and create market opportunities - Strong communication and business development skills - Comfortable working cross-functionally with technical and business teams - Self-starter mindset with the ability to operate independently - High-energy, execution-focused approach - EST timezone overlap preferred Requirements - USD Salary - Ability to work remotely - Growth potential: 1-2 orders of magnitude increase based on performance

• Diseñar, desarrollar e implementar soluciones tecnológicas integrales utilizando .NET Core y Angular, garantizando calidad, rendimiento y escalabilidad. • Integrar y optimizar bases de datos Oracle y SQL Server, asegurando seguridad, disponibilidad y correcto funcionamiento de las aplicaciones. • Construir y mantener APIs REST, ejecutar pruebas automatizadas y colaborar en procesos de integración y despliegue continuo bajo metodologías ágiles y buenas prácticas de desarrollo.

• Designing and implementing AI solutions aligned with business needs and technological standards. • Applying techniques like Retrieval-Augmented Generation (RAG) to improve the precision and relevance of AI interactions. • Developing Agentic RAGs, incorporating autonomous agents to refine data retrieval and content generation. • Creating modular architectures for agents specializing in tasks like information retrieval, contextual inference, and data-driven decision-making. • Leveraging Large Language Models (LLMs) such as Gemini and Llama for text generation and question answering. • Designing and managing data ingestion pipelines, and implementing serverless architectures and Pub/Sub models to scale data intake. • Using DevOps and MLOps practices for automating the deployment and management of AI models. • Integrating APIs to connect AI models with external systems and to register events and metadata. • Optimizing performance by analyzing system performance, detecting bottlenecks, and implementing caching strategies. • Collaborating with designers and product teams to ensure AI solutions meet real business and user needs, while maintaining innovation through continuous research and experimentation.

• Develop and maintain the Python codebase for the core automation engine, including data ingestion pipelines, standardization logic, and matching algorithms • Design and implement ETL middleware solutions that process, validate, and transform data from multiple sources with high accuracy and performance • Build Excel and PDF output pipelines using pandas, openpyxl, and xlsxwriter to generate comprehensive reports and reconciliation documents • Create responsive frontend components using React.js that enable users to interact with automation workflows and visualize results • Translate business rules into scalable code by collaborating with stakeholders to understand matching scenarios, reconciliation logic, and classification requirements • Write comprehensive unit tests using pytest to ensure code quality, reliability, and maintainability across the full stack • Document matching rules and reconciliation scenarios based on stakeholder discussions, serving as a bridge between technical implementation and business requirements • Collaborate with senior developers to architect solutions that balance performance, scalability, and maintainability