Melotech

• Owning a revenue-generating product end to end • Building tools, automations, and products with AI • Running analysis, forming views, and deciding off the evidence • Moving across product, growth, and operations as needed • Going deep on topics that move numbers • Making bold calls to shape product trajectory

• Defining and shipping v1 of a new consumer product from scratch, prototyping fast and cutting anything that doesn't earn its place • Owning the product end to end, from user research to shipped features, across the full stack of the experience • Living in the numbers: retention, DAU and the engagement loops that shape our trajectory • Running user interviews constantly and turning what you hear into product people love • Building with AI as a default primitive, not a bolt-on, using modern tools to go from idea to production-ready MVP at lightspeed • Making bold product calls and creative bets that shape our roadmap and our company

• Owning outbound recruiting from start to finish: sourcing, screening and running most of the interview loop yourself, across technical, commercial and creative roles • Building a scalable hiring machine with outbound at its core, extending over time into university hiring, hackathons and referral networks • Acting as the first filter: knowing what exceptional looks like and where it comes from, so only the top of the funnel ever reaches our founders • Building talent pipelines across both Europe and the US • Standing up the people function as we scale: contracts, levelling, performance reviews, compensation, bonuses and benefits • Designing the internal systems and workflows a fast-growing, globally distributed team needs

• Serve as the CEO’s right hand and execute strategy across all areas of the business • Manage high-impact projects from conception to completion across all business verticals • Prepare presentations, reports, and briefing documents while tracking KPIs and compiling performance updates • Conduct market, competitor, and investor research to identify growth opportunities and support strategic decisions • Support fundraising by creating pitch materials, organizing investor outreach, and maintaining partner relations • Streamline workflows, improve operational processes, and handle recruiting at scale with the help of AI • Act as a sparring partner for the founder in prioritizing and executing strategic projects across different areas of the business.

• Owning features across our full stack, writing clean code for both frontend and backend systems • Working directly with commercial teams to architect and implement platform enhancements • Using AI coding assistants and modern development tools to accelerate workflows and maintain code quality • Building robust APIs and integrating AI models into production systems • Designing end-to-end solutions that combine individual data flows into unified models across verticals • Thinking of creative ideas and making bold decisions that shape our technology platform

• Managing high-impact projects from conception to completion across all business verticals • Preparing presentations, reports, and briefing documents while tracking KPIs and compiling performance updates • Conducting market, competitor, and investor research to identify growth opportunities and support strategic decisions • Supporting fundraising by creating pitch materials, organizing investor outreach, and maintaining partner relations • Streamlining workflows, improving operational processes, and handling recruiting at scale with the help of AI • Acting as a sparring partner for the founder in prioritizing and executing strategic projects across different areas of the business.

• Extract insights from hard-to-reach data sources to tackle cultural trends • Discover and exploit new, untapped data sources through creative scraping techniques • Build data processing pipelines from scratch to handle raw, unstructured data • Use LLMs and agentic coding tools to accelerate data cleaning and analysis workflows • Spin up EC2 instances for real-time data collection and automated scraping operations • Prototype and deploy ML models on AWS for real-time predictions and content analysis • Create custom dashboards and reports to communicate insights to leadership • Analyze trends, audience behavior, and performance metrics to guide business decisions

• Building and deploying production ML models for within our content and product ecosystem • Designing scalable ML infrastructure and pipelines that handle massive media datasets • Implementing inference systems for content optimization across multiple verticals • Fine-tuning and deploying multimodal AI systems using MLOps best practices • Collaborating with data science teams to transition research models into production-ready systems • Optimizing model performance for cost efficiency while maintaining accuracy and speed requirements • Integrating ML capabilities into existing platforms and building APIs for seamless model consumption

• Owning features across our full stack, writing clean code for both frontend and backend systems • Working directly with commercial teams to architect and implement platform enhancements • Using AI coding assistants and modern development tools to accelerate workflows and maintain code quality • Building robust APIs and integrating AI models into production systems • Designing end-to-end solutions that combine individual data flows into unified models across verticals • Thinking of creative ideas and making bold decisions that shape our technology platform

• Join us as Data Scientist Intern to bring order to the chaos of culture. • You'll extract insights from hard-to-reach data sources to tackle the big questions: What cultural trends are emerging that everyone else is missing? How can we predict virality? And what factors characterize an underserved category? • Discovering and exploiting new, untapped data sources through creative scraping techniques. • Building data processing pipelines from scratch to handle raw, unstructured data. • Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows. • Spinning up EC2 instances for real-time data collection and automated scraping operations. • Prototyping and deploying ML models on AWS for real-time predictions and content analysis. • Creating custom dashboards and reports to communicate insights to leadership. • Analyzing trends, audience behavior, and performance metrics to guide business decisions.