We’re looking for a dedicated and professional freelancer to help manage our clients. This role is essential for maintaining strong client relationships and ensuring their needs are consistently met. It is a full-time position that requires excellent spoken English—please do not apply if your English is not fluent or have bad accent. About Us We are a Canadian company that has been in the market for over three years, proudly serving more than 100 clients. We’ve developed a detailed, step-by-step strategy that helps our clients generate income by opening sports betting accounts and placing calculated, risk-free smart bets. Our approach is simple, effective, and beginner-friendly. Your Role You will guide clients through our entire process and support them with anything they may need along the way. To ensure you’re fully equipped, you’ll begin by working closely with our founders, who will personally train you. Key Responsibilities - Communicate with clients via video calls (camera required) - Support clients and assist with account management - Use creativity and independence to solve problems - Research new tools and strategies to improve the process Ideal Skills and Experience - Experience in customer support or client-facing roles - Fluent in English (spoken and written) - Confident and professional on video calls - Excellent communication skills - Creative and resourceful problem-solver - Stable and reliable internet connection Perks - Flexible schedule (you set the timing of client calls) - Fully remote (work from anywhere) - Competitive salary with performance-based bonuses Interested? Apply now and join our growing team!
Web Product Analyst We’re looking for a passionate and data-driven Web Product Analyst to join our team. This role is perfect for someone who thrives on uncovering insights, optimizing digital experiences, and collaborating with cross-functional teams to build better products. If you're detail-oriented and obsessed with understanding user behavior to drive product improvements, we want to hear from you! Key Responsibilities Analyze user behavior, customer feedback, and market trends to identify opportunities for product improvements. Detect bottlenecks and propose data-backed solutions to enhance product retention, growth, and usability. Work closely with product managers, designers, and engineers to align on product direction and priorities. Apply UX best practices and customer-centric thinking to improve digital user experiences. Clearly communicate findings and actionable insights to stakeholders at all levels. Technical & Analytical Requirements Proven experience in product analysis or similar roles in fast-paced, tech-driven environments. Strong analytical skills and the ability to make data-informed decisions. Proficiency with data analysis tools such as Excel, SQL, Google Analytics. Familiarity with UX concepts and design tools like Figma. User-Centered Mindset Solid understanding of customer-centric design and UX best practices. Ability to act as the voice of the user in product decisions. Personal Attributes Strong attention to detail and a commitment to continuous improvement. Fast learner with the ability to quickly adapt to new tools and technologies. Effective communicator, capable of presenting complex findings in a clear, concise manner. This is a full-time, remote position at the intermediate level, ideal for candidates passionate about web product analysis and improving user experiences.
DevOps Engineer Position We are looking for a skilled DevOps Engineer to join our engineering team and help streamline our development and operational processes. Key Responsibilities Develop and maintain infrastructure as code. Automate deployment pipelines and monitor system performance. Collaborate with software engineers to improve reliability and scalability. Manage cloud environments and ensure security best practices. Troubleshoot and resolve operational issues. Requirements Strong knowledge of cloud platforms such as AWS and Pulumi. Excellent problem-solving and communication skills.
I want a self starter that will be able to conduct projects without being babysat. Want a proficiency in Portugese, English, or both. Want an expertise in Nuxt, Tailwind, Vue, Typescript. Would love someone with leadership skills and great communication that can clearly communicate with team. Potential to develop into leadership role.
About Us: We represent the most talented Latin creators in the United States. Our goal is to help them grow their careers, close major brand deals, and protect their image as talents. We are looking for someone passionate about culture, with a keen eye for potential, and with hands-on experience working with influencers. What You'll Do: Manage the daily relationship with Latin influencers in the United States. Negotiate and close contracts with brands, agencies, and platforms. Coordinate campaigns and ensure talent meets deliverables. Be the point of contact for legal matters, payments, and schedules. Identify growth opportunities for each talent. What We’re Looking For: At least 2 years of experience working directly with influencers. Basic experience in negotiating and signing contracts. Strong communication skills with brands, talent, and internal teams. Organizational skills, follow-through, and positive energy. Intermediate to advanced proficiency in both English and Spanish. Plus (Not Mandatory): Knowledge of influencer marketing in the U.S. Hispanic market. Experience in an agency or talent representation company. Connections within the creator industry. What We Offer: Be part of a powerful network of culture, creativity, and business. Learn from the best team in Latin influencer marketing. Opportunity for rapid growth within the company. Access to events, global campaigns, and high-impact projects.
Location: Remote (LATAM) Job Type: Full-Time Department: Marketing Reports To: Chief Marketing Officer (CMO) / CEO About the Role We are seeking a data-driven, strategic, and creative Growth Marketing Director to lead our customer acquisition, activation, and retention initiatives. In this leadership role, you will own the growth marketing strategy, oversee multi-channel campaigns, and collaborate across teams to scale customer growth and lifetime value. You’ll be a key driver in building and optimizing the marketing funnel and maximizing ROI. Key Responsibilities Develop and Execute Growth Strategy: Lead the development and execution of scalable growth strategies across paid media, SEO, email, referral, partnerships, lifecycle marketing, and more. Own the Funnel: Optimize the full customer journey—from top-of-funnel brand awareness to conversion and retention. Performance Marketing: Manage and scale paid acquisition campaigns (Google Ads, Meta, LinkedIn, etc.) with a focus on CAC, ROAS, and LTV. Marketing Analytics & Attribution: Analyze campaign performance, segment audiences, and use data to refine strategies and forecast growth. Experimentation & A/B Testing: Run rapid tests to identify and validate high-impact growth opportunities. Cross-Functional Leadership: Partner with Product, Sales, Data, and Creative teams to align growth efforts and ensure consistent messaging and experience across touchpoints. Team Management: Build and lead a high-performing growth team; manage external agencies and vendors when applicable. CRM & Lifecycle: Optimize email marketing, drip campaigns, and re-engagement flows to improve retention and drive upsell/cross-sell. Tech Stack Oversight: Evaluate and manage tools for marketing automation, analytics, attribution, and CRM. Qualifications 7+ years of experience in digital marketing/growth marketing, with at least 3 years in a leadership role Proven success scaling a B2B, B2C, SaaS, or eCommerce business through performance and lifecycle marketing Deep understanding of marketing analytics, attribution modeling, customer segmentation, and funnel optimization Strong expertise in tools like Google Analytics, HubSpot, Marketo, Amplitude, Segment, Mixpanel, and major ad platforms Excellent leadership, communication, and project management skills Comfort with ambiguity, high-growth environments, and rapid iteration Nice to Have Experience in a startup or high-growth tech environment Familiarity with product-led growth (PLG) strategies Experience with international or multi-language campaigns SQL proficiency or familiarity with BI tools What We Offer Competitive salary + performance-based bonuses Equity/stock options Health, dental, and vision benefits Flexible work hours and remote-friendly environment Opportunity to lead growth at a mission-driven, fast-scaling company
Full Stack Developer / Vibe Coding Intern (Stipend • AI-Powered • Remote) Location: Remote Start: Summer 2025 Compensation: Stipend Schedule: Part-time, flexible hours (at least 5 hours per week) About BiblioSync: We’re building a second brain for modern thinkers and doers — an AI-powered web app that helps people organize their insights and actually use them. Our MVP is live, and we’re expanding quickly. We're looking for an intern who thrives in early-stage energy, builds fast, and is curious about how AI and product design intersect. https://bibliosync.com What You'll Do: Learn and apply AI-assisted coding and prompting techniques. You will not be writing lines of code for hours, but instead will be orchestrating code development using AI Ship features using Supabase + Replit (along with other Vibe Coding tools and workflows) Test, Debug and refine our live MVP Collaborate on UI in Figma and manage work in ClickUp Help transition our responsive web app to mobile readiness Explore how knowledge graphs support user memory and insight retrieval Qualifications: Experience with full stack projects (personal, academic, or bootcamp); Mobile experience is a PLUS Comfort with GitHub, frontend JS, and responsive layout work Interest in AI workflows and building smarter, not harder Foundational understanding of databases and cloud services (GCP, AWS) Ability to use + create APIs Curiosity about knowledge graphs or semantic relationships AI Prompting experience (Chat level is fine) Understanding of ML/Model Training and Knowledge Graph foundations is a PLUS Perks: Stipend Real user feedback on your work Fast-paced learning environment Mentorship on AI product design & execution Potential permanent hire + equity Exposure / Shareable clips of our "behind the scenes" social share videos How to Apply: Please submit - A project(s) you’ve built (doesn't need to have flashy UI, we're more interested in functionality) A brief description of your skill set and experience (would love to hear about the types of stuff you're interested in building) Why this opportunity resonates with you Your summer availability We launched in May 2025. It’s real. Users are in. Code ships weekly. We’re moving fast—and you’ll help us move faster. This is not your average “dev internship.” This is: Vibe coding with AI Designing better prompts, workflows, and results Getting your code into production Making real product decisions in a startup team What You’ll Learn AI-powered product building—from inside a fast-moving startup. By the end of the summer, you’ll have: Shipped real features to real users Learned AI dev workflows with AI tools and agents + Cloud-based tools Understood how prompts drive AI coding agents (and how to improve them) Worked on a distributed team using async collaboration Practiced debugging, testing, and releasing with product focus Built responsive UIs and explored mobile-first thinking Explored knowledge graphs and GraphRag Worked with MCP and Agentic workflows Gained resume-ready experience that stands out ....just to name a few
Location: Remote (LatAm or US) Reports to: CEO Type: Full-time, builder-first Compensation: USD 8k - 10k Role Overview We’re looking for a VP of AI & GEO (Generative Engineering & Operations) to lead the design, execution, and scaling of our generative AI infrastructure. This person will own the full stack that powers our copilots — including voice interfaces, prompt pipelines, RAG systems, and real-time decision engines. This is not a research role. It’s a hands-on, builder-first leadership position for someone who thrives in speed, complexity, and technical clarity. works directly with the CEO to make our vision real — and scalable. Key Responsibilities Design and scale the full GEO stack: voice transcription (Whisper), LLM prompts (OpenAI), embeddings and context recall (Pinecone, Weaviate, etc.) Lead the implementation of retrieval-augmented generation (RAG) pipelines across our 5,000+ and soon 5M+ diagnostic cases Build tool-based agents for our copilots: from repair guidance to procurement to fleet actions Set up logging, monitoring, evaluation, and fallback systems to ensure fast and reliable inference Collaborate with product to shape user flows and real-world use cases for mechanics and fleet operators Mentor and grow the technical team around best practices in generative systems and AI-native ops Qualifications 7+ years of experience building backend or AI systems, with at least 2 years shipping GenAI products Deep hands-on experience with OpenAI, LangChain or LangGraph, Whisper, Pinecone or equivalent vector DBs Strong Python engineering fundamentals (FastAPI, Docker, async workflows) Experience shipping real-world AI products, not just prototypes or research Respect from technical peers — ideally with a visible GitHub, community presence, or open-source contributions Fluency in prompt design, evaluation, and cost/latency trade-offs Low-ego, high-output, clear communicator Fluency in both Spanish and English Bonus Built copilots or agent-based interfaces from scratch Experience in speech-to-text and voice generation (e.g., Eleven Labs) Familiar with the automotive, logistics, or field operations industry Experience leading technical teams or mentoring other engineers Preferred Technical Toolkit This role requires hands-on technical depth. While not all are mandatory, the ideal candidate will have experience across most of the following: Programming Languages Python (core): for pipeline development, agents, FastAPI, and LLM integration TypeScript / JavaScript: for real-time interfaces and voice assistant integration SQL / NoSQL (PostgreSQL, MongoDB): for structured and semi-structured data management Bash / Shell scripting: for automation, version control, and deployment Speech and Audio Technologies Speech-to-text: Whisper Text-to-speech: ElevenLabs, Coqui, or equivalent Optional: speaker diarization or voice cloning tools for advanced personalization AI Modeling & Infrastructure LangChain / LangGraph: to orchestrate complex generative agent workflows OpenAI APIs (chat, embeddings, whisper, function calling) Vector databases: Pinecone, Weaviate, FAISS, or Qdrant Whisper: for accurate voice-to-text transcription Docker / Docker Compose: for containerization of models and microservices FastAPI / async frameworks: for high-performance copilot APIs Evaluation and Performance Monitoring Weights & Biases / MLflow: for experiment tracking and model performance Prometheus / Grafana / OpenTelemetry: for observability and reliable inference in production Ray / Dask (optional): for scalable orchestration of complex AI pipelines
Estamos en búsqueda de un Gerente Comercial. El candidato ideal deberá contar con sólida experiencia en el desarrollo de estrategias comerciales, gestión de relaciones con clientes y conocimiento del mercado de servicios financieros y tecnología. Responsabilidades principales Diseñar e implementar estrategias comerciales para crecer la cartera de clientes, principalmente en el sector privado. Identificar oportunidades de negocio, entender las necesidades del mercado y del cliente. Establecer relaciones comerciales sólidas con clientes actuales y nuevos. Trabajar con enfoque al cierre comercial, garantizando resultados. Formar el equipo comercial desde cero, con foco en desarrollo y autogestión. Elaborar reportes e informes que sirvan de base para decisiones ágiles. Colaborar con otras áreas para alinear objetivos comerciales y operativos. Perfil deseado Formación: Profesional en Administración, Marketing, Comercialización o afines. Experiencia: Mínimo 6 años en gestión comercial o ventas. Preferentemente en entornos PYMEs o estructuras horizontales. Conocimiento en servicios financieros o tecnología es valorado. Competencias clave: Enfoque al cierre y orientación a resultados. Capacidad para tomar decisiones dentro de un marco definido. Proactividad, autonomía y energía para construir desde cero. Comunicación clara, empatía y capacidad para trabajar en equipo. Tolerancia al cambio, dinamismo y adaptación a estructuras no tradicionales. Otros: No buscamos experiencia previa liderando grandes equipos. Beneficios OSDE 210 o Swiss Medical SMG20 para grupo familiar. Modalidad híbrida (oficinas en Belgrano, CABA). Remuneración competitiva en pesos + variable según objetivos. Oportunidad real de crecimiento y construcción de área desde cero.
We're seeking an experienced LLM/ML Specialist with deep expertise in LLaMA models or other open source and Retrieval-Augmented Generation (RAG) systems. The ideal candidate will have strong skills in model fine-tuning, prompt engineering, and production deployment of language models. You'll build and optimize RAG pipelines, implement vector databases, and develop efficient inference solutions. Requirements include 2+ years of LLM experience, Python proficiency with PyTorch/Hugging Face, and demonstrated projects involving LLaMA models. Technical Skills: Deep understanding of LLaMA model architecture and its variants Experience fine-tuning and adapting LLaMA models for specific applications Proficiency in Python and ML frameworks (especially PyTorch and Hugging Face) Knowledge of prompt engineering specific to LLaMA models Experience with efficient inference and quantization techniques for LLaMA Understanding of model deployment and optimization for large language models Expertise in Retrieval-Augmented Generation (RAG) systems and architectures Experience implementing vector databases and similarity search techniques Knowledge of document chunking and embedding strategies for RAG Familiarity with evaluation metrics for RAG systems Qualifications: Machine Learning, NLP, Computer Science, or related field 2+ years of experience working with large language models, preferably LLaMA Strong mathematical background in statistics and probability Demonstrated projects involving LLaMA model adaptation or deployment Excellent communication skills to explain complex concepts Proven experience building and optimizing RAG pipelines in production environments Preferred: Experience with PEFT methods (LoRA, QLoRA, etc.) for LLaMA models Experience with fine-tuning Understanding of model limitations and ethical considerations Experience with LLaMA integration into production systems Familiarity with open-source LLM ecosystems Experience with hybrid search methodologies (dense + sparse retrieval) Knowledge of context window optimization techniques for RAG systems Experience with multi-stage retrieval architectures Responsibilities: Design and implement LLaMA-based solutions for real-world applications Develop, optimize, and deploy RAG systems using vector databases and embedding strategies Fine-tune LLaMA models using techniques like LoRA and QLoRA Create efficient prompt engineering strategies for specialized use cases Implement and optimize inference pipelines for production environments Design evaluation frameworks to measure model and RAG system performance Collaborate with engineering teams to integrate LLMs into product infrastructure Research and implement the latest advancements in LLM and RAG technologies Document technical approaches, model architectures, and system designs Mentor junior team members on LLM and NLP best practices What We Offer: Opportunity to work on cutting-edge LLM and RAG applications Access to computational resources for model training and experimentation Collaborative environment with other ML/AI specialists Flexible work arrangements with remote options Competitive salary and comprehensive benefits package Professional development budget for conferences and courses Clear career progression path for AI specialists Chance to contribute to open-source LLM ecosystem Balanced workload with dedicated research time Inclusive culture that values diverse perspectives and innovative thinking