Job Summary: A consulting firm specialized in SAP Analytics Cloud (SAC) implementations is seeking a Senior Consultant (technical and/or functional profile) with strong experience in SAC Planning. The role involves working on end-to-end planning projects for large companies, contributing to model design, advanced SAC configuration, client training, and solution delivery. The ideal candidate is proactive, analytical, and capable of working independently while collaborating in agile teams. Key Responsibilities: Lead or participate in the implementation of SAC Planning projects for enterprise clients. Design customized planning models based on each client’s management style and business needs. Configure SAP Analytics Cloud Planning modules: ○ Stories ○ Data Actions ○ Data Imports/Exports Integrate SAC with SAP HANA, BW, or other SAP modules. Translate client requirements into functional and technical specifications. Document project deliverables and configurations with clear, well-structured writing. Provide training to both internal consultants and client stakeholders. Participate in daily stand-ups and agile workflows with the project team. Act as a consultative partner to clients, offering best practices and recommendations. Required Qualifications: Required Qualifications: Bachelor’s degree in Engineering, Information Systems, Business Administration, Accounting, or similar. Minimum 3 years of hands-on experience with SAP Analytics Cloud Planning. Solid understanding of financial planning and budgeting processes. Proficiency in configuring SAC (stories, data actions, import/export). Experience integrating SAC with SAP HANA or similar systems. Strong written communication and structured documentation skills. Advanced Excel knowledge. Proven ability to work independently and lead client conversations. Availability for occasional travel. Valid passport (required for non-Mexico-based candidates). Ability to read and understand technical content in English. Preferred Qualifications: Experience with SAP BPC (Business Planning and Consolidation). Familiarity with SAP DataSphere and/or SAP Joule. Participation in functional design or requirements gathering workshops. High level of soft skills: teamwork, adaptability, assertiveness, and client diplomacy. Experience mentoring or training colleagues and users. Spoken English proficiency is a plus
We are hiring a QA Engineer to lead and execute both manual and automated testing including web, REST APIs, and potentially mobile/watch apps. You’ll design and run comprehensive test suites, validate key features, and contribute to automation pipelines in collaboration with developers and DevOps. Key Responsibilities Design, document, and execute test cases and test scenarios based on product requirements Perform both manual testing and automated testing across web, API, and optionally mobile platforms Build and maintain automated test suites using Selenium, Cypress, REST Assured, Postman, or JMeter Work closely with engineering teams to catch defects early and improve code/test coverage Contribute to CI/CD test automation and reporting integration Document bugs, analyze root causes, and validate resolutions First 90 Days Deliver comprehensive test coverage for web and API components of our cardio application Launch and validate the first wave of automated tests within our CI/CD pipeline Collaborate cross-functionally to integrate QA processes into the release cycle Establish baseline quality metrics and defect tracking systems Tools & Stack Testing Tools: Selenium, Cypress, Postman, REST Assured, JMeter Testing Types: Functional, regression, integration, load, and exploratory Focus Areas: Web app, REST APIs, potentially smartwatch/mobile apps CI/CD Integration: Azure DevOps, GitHub Actions Success Metrics High test case execution coverage Timely detection and resolution of critical defects CI/CD pipeline integration for automated test suites Reliable test documentation and communication Requirements 4–8 years of QA experience in software testing Experience with both manual and automated testing Familiarity with API testing and tools like Postman and REST Assured Working knowledge of automation frameworks (Selenium/Cypress/etc.) Strong attention to detail and remote documentation habits Fluent English and ability to work overlapping US hours Other Details Work arrangement: Remote, offshore Workload: Full-time (40+ hours/week) Interview process: Technical interview + management interview Soft skills: Communication, documentation, startup agility Compensation: TBD
📍 Localização: 100% remoto – Brasil, SP Descrição da vaga Este talento é vital dentro da área de Customer Experience, pois é quem acompanha a operação para oferecer um atendimento ao cliente de excelência no menor tempo possível. É responsável principalmente por processos como: onboarding, acompanhamento e renovação de clientes. Funções essenciais Atendimento ao cliente: contato direto via mensagens ou chamadas. Acompanhamento e atualização do pipeline conforme o avanço do cliente. Apoio em funções operacionais: acompanhamento de bugs identificados no software para que sejam resolvidos pela equipe de tecnologia, melhorando a experiência do cliente. Responsável pelo onboarding de novos clientes, esclarecendo dúvidas e acompanhando toda a jornada de compra e pós-compra. Acompanhamento de clientes atuais para incentivar recompra. Suporte constante ao cliente em caso de dúvidas sobre a ferramenta. Reuniões frequentes com o Commercial Head para apresentação de resultados. Competências corporativas Autonomia e proatividade, empatia, comunicação verbal, orientação para resultados, colaboração, potencial de aprendizado, senso de urgência. Competências técnicas Atendimento ao cliente via telefone (call center) e via webcam (indispensável). Capacidade de realizar múltiplas tarefas ao mesmo tempo. Experiência em ambiente startup (desejável). Conhecimento de Excel (básico a intermediário – desejável). Observações adicionais Para o perfil ideal, buscamos alguém que venha do ambiente startup, tenha experiência em atendimento ao cliente via telefone e que seja multitarefa, já que este talento é quem acompanha de perto a operação.
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
About Us: We are a growth financing marketplace for small business owners, with a mission to increase access to entrepreneurship. By connecting businesses to growth capital and offering world-class financial management services, we empower entrepreneurs to take control of their financials and achieve sustainable economic success. The Role: We are looking for five Accountants to join our team as soon as possible. This role is ideal for professionals with solid accounting expertise who can adapt to evolving technological processes in financial operations. You will work closely with the Accounting Service Manager and other teams to ensure financial accuracy and compliance, supporting our mission of fostering small business growth. Key Responsibilities: Bookkeeping & Transactions: Accurately record and process accounts payable, accounts receivable, payroll, and general ledger entries. Financial Reporting: Assist in preparing financial statements and reports in accordance with US GAAP standards. Account Reconciliation: Perform regular bank, credit card, and general ledger reconciliations to ensure accuracy. Compliance & Tax Support: Ensure compliance with tax regulations and assist with audits and tax filings as needed. Process Improvement: Identify opportunities to enhance financial operations, increase efficiency, and reduce errors. Collaboration: Work with internal teams and external partners to maintain seamless accounting processes. Requirements: Education: Bachelor’s degree in Accounting, Finance, or a related field. Experience: 1-3 years of accounting experience (reduced requirement due to technology-driven process changes). We highly value candidates with background in companies such as: Deloitte, PwC, EY, KPMG. Technical Skills: Familiarity with accounting software (e.g., QuickBooks, Xero) and proficiency in Excel. Knowledge: Understanding of US GAAP and financial reporting practices. Adaptability: Willingness to learn new tools and adjust to evolving accounting technologies. Attention to Detail: High accuracy in financial reporting and reconciliations. Communication: Advanced English proficiency (Spanish is optional). Location. Preferred location: Brazil (open to Guatemala).
Ubicación São Paulo, SP Beneficios Tomado de la descripción completa del trabajo Bono de transporte Descripción completa del puesto Vendedor externo (puerta a puerta) ¿Te apasionan las ventas, te gusta estar fuera de casa y te resulta fácil hacer conexiones? Estamos transformando la forma en que los talleres de reparación de automóviles gestionan sus negocios a través de la tecnología, ¡y queremos que usted sea parte de este movimiento! Lo que harás: Generar interés en los talleres de reparación de automóviles sobre nuestro software. Programe reuniones calificadas (presenciales o vía videollamada) para nuestro equipo de ventas. Comprender el funcionamiento de un taller (piezas, mano de obra, clientes) y mostrar cómo nosotros resolvemos estos desafíos. Desarrollar relaciones sólidas que conduzcan a nuevos negocios. Mapee a clientes potenciales en la región para encontrar oportunidades. Lo que buscamos: Experiencia en ventas externas/puerta a puerta (imprescindible). Autonomía, proactividad y enfoque en resultados. Comunicación clara, escucha activa y empatía. Habilidades de negociación. El conocimiento del sector de automoción es un plus. Requisitos: Moto propia + carnet de conducir vigente A. ( imprescindible ) Disponibilidad de lunes a viernes (de 9 a 18 horas) y sábados (de 9 a 14 horas). Lo que ofrecemos: Salario base Asistencia con combustible: R$ 582. ¡Comisiones atractivas y sin techo! Tipo de trabajo: Tiempo completo Beneficios: Bono de transporte Preguntas de selección: ¿Tienes una motocicleta?
Sr Backend & Infrastructure Engineer Position Title: Sr Backend & Infrastructure Engineer Location: Híbrido/Remoto según la necesidad Employment Type: Full-time Experience Level: Senior Acerca de Nosotros Somos una compañía en rápido crecimiento que está definiendo lo que significa ser una Insurtech. Nuestra misión es reinventar la integración entre tecnología y seguros, creando productos escalables, ágiles y con un impacto real en nuestros clientes. Para lograrlo, necesitamos bases técnicas sólidas. Resumen del Puesto Estamos buscando un ingeniero fundacional que sea dueño tanto del desarrollo backend como de la infraestructura y plataforma. Este es un rol de alto impacto donde tus decisiones van a marcar el rumbo tecnológico de la compañía por años. Buscamos a alguien con una mentalidad de startup que esté listo para tomar decisiones y comprender que cada una de ellas tendrá un impacto directo en el futuro de la compañía. No solo vas a construir, también vas a decidir cómo se hacen las cosas, desde la selección de lenguajes y frameworks hasta la estrategia de escalabilidad. Responsabilidades Clave Diseñar y desarrollar nuestros servicios y APIs backend desde cero. Definir nuestro stack tecnológico (lenguajes, frameworks, herramientas de infraestructura). Configurar y administrar la infraestructura en la nube (de Dev a Producción). Implementar pipelines de CI/CD y flujos modernos de desarrollo. Establecer monitorización, logging y alertas para garantizar la confiabilidad. Crear estándares de seguridad y buenas prácticas desde el día uno. Ser la referencia principal en backend e infraestructura a medida que la compañía crece. Habilidades y Experiencia Requeridas Experiencia: Más de 5 años de experiencia en ingeniería backend y/o infraestructura. Habilidades Técnicas: Sólidas habilidades de programación y diseño de sistemas backend. Conocimiento de Nube: Experiencia práctica con al menos un proveedor de nube (AWS, Azure, GCP). Infraestructura: Conocimiento en automatización de infraestructura (Terraform, Ansible, etc.). Herramientas: Experiencia implementando CI/CD y herramientas de observabilidad. Habilidades Blandas: Mentalidad de "builder", alto sentido de "ownership" y ganas de moverse rápido en un entorno dinámico. Por qué unirte Rol fundacional: Tus decisiones van a definir nuestro stack y futuro tecnológico. Alto impacto: Vas a construir las bases técnicas de una compañía en expansión. Cultura startup: Velocidad, iteración, innovación y autonomía. Crecimiento acelerado: Vas a escalar junto a la compañía. Beneficios: Cultura flexible y de confianza, equipos pequeños con alta autonomía y visibilidad, horario flexible y un ambiente dinámico y sin burocracia. Beneficios Cultura flexible y de confianza: trabajo híbrido/remoto según necesidad. Equipos pequeños → alta autonomía y visibilidad de tu trabajo. Crecimiento acelerado: vas a escalar junto a la compañía. Horario flexible orientado a resultados, no a control de horas. Ambiente de startup: dinámico, innovador y sin burocracia. 👉 Si te motiva construir desde cero y ser dueño tanto del backend como de la infraestructura, ¡queremos conocerte!
About Us: We are a growth financing marketplace for small business owners, with a mission to increase access to entrepreneurship. By connecting businesses to growth capital and offering world-class financial management services, we empower entrepreneurs to take control of their financials and achieve sustainable economic success. The Role: We are looking for five Accountants to join our team as soon as possible. This role is ideal for professionals with solid accounting expertise who can adapt to evolving technological processes in financial operations. You will work closely with the Accounting Service Manager and other teams to ensure financial accuracy and compliance, supporting our mission of fostering small business growth. Key Responsibilities: Bookkeeping & Transactions: Accurately record and process accounts payable, accounts receivable, payroll, and general ledger entries. Financial Reporting: Assist in preparing financial statements and reports in accordance with US GAAP standards. Account Reconciliation: Perform regular bank, credit card, and general ledger reconciliations to ensure accuracy. Compliance & Tax Support: Ensure compliance with tax regulations and assist with audits and tax filings as needed. Process Improvement: Identify opportunities to enhance financial operations, increase efficiency, and reduce errors. Collaboration: Work with internal teams and external partners to maintain seamless accounting processes. Requirements: Education: Bachelor’s degree in Accounting, Finance, or a related field. Experience: 1-3 years of accounting experience (reduced requirement due to technology-driven process changes). We highly value candidates with background in companies such as: Deloitte, PwC, EY, KPMG. Technical Skills: Familiarity with accounting software (e.g., QuickBooks, Xero) and proficiency in Excel. Knowledge: Understanding of US GAAP and financial reporting practices. Adaptability: Willingness to learn new tools and adjust to evolving accounting technologies. Attention to Detail: High accuracy in financial reporting and reconciliations. Communication: Advanced English proficiency (Spanish is optional). Location. Preferred location: Brazil (open to Guatemala).
Position Overview We are seeking an exceptional Chief Technology Officer to lead our Large Language Model initiatives and drive technological innovation in AI/ML. This executive role requires a visionary leader who can bridge cutting-edge research with scalable production systems while building and managing world-class engineering teams. Key Responsibilities Strategic Leadership Define and execute the technical vision for LLM development, deployment, and scaling Drive strategic partnerships with research institutions, cloud providers, and AI/ML vendors Lead technology roadmap planning aligned with business objectives and market opportunities Represent the company at industry conferences, research symposiums, and with key stakeholders Technical Excellence Oversee architecture and development of large-scale LLM training and inference infrastructure Guide research initiatives in model optimization, efficiency improvements, and novel architectures Ensure robust MLOps practices, including model versioning, monitoring, and deployment pipelines Drive innovation in areas such as multi-modal models, retrieval-augmented generation, and agent frameworks Organizational Leadership Build, mentor, and scale high-performing engineering and research teams (50-200+ people) Establish engineering culture focused on excellence, innovation, and rapid iteration Collaborate closely with CEO, CPO, and other executives on product strategy and go-to-market Drive talent acquisition strategy for specialized AI/ML roles Operational Management Oversee technical budgets, infrastructure costs, and resource allocation Ensure security, compliance, and ethical AI practices across all LLM initiatives Manage vendor relationships and technology partnerships Drive cost optimization for compute-intensive workloads Required Qualifications Education & Experience PhD in Computer Science, Machine Learning, AI, or related field (or equivalent industry experience) 12+ years of technical leadership experience, with 5+ years in executive roles 5+ years of hands-on experience with large language models, transformers, or related architectures Proven track record of scaling engineering organizations from startup to enterprise level Technical Expertise Deep understanding of LLM architectures, training methodologies, and optimization techniques Experience with distributed training frameworks such as PyTorch Strong background in cloud infrastructure, particularly GPU/TPU clusters and ML platforms Knowledge of model compression, quantization, and inference optimization Understanding of AI safety, alignment, and responsible AI practices Leadership Skills Demonstrated ability to recruit, develop, and retain top-tier technical talent Experience managing complex, multi-disciplinary projects with competing priorities Strong communication skills with ability to explain complex technical concepts to diverse audiences Track record of successful collaboration with product, business, and research teams Preferred Qualifications Startup experience or research experience at leading AI/ML companies (OpenAI, Anthropic, Google DeepMind, etc.) Published research in top-tier ML conferences such us NeurIPS, ICLML, ICLR, etc. Experience with foundation model commercialization and API products Experience with open source models, RAG (Retrieval-Augmented Generation), and fine-tuning techniques Cloud experience with AWS or Google Cloud Platform Background in adjacent areas such as computer vision, robotics, or speech recognition MBA or equivalent business education What We Offer Competitive executive compensation package including equity Opportunity to shape the future of AI technology at scale Access to cutting-edge compute resources and research partnerships Collaborative work environment with world-class researchers and engineers Comprehensive benefits including health, dental, vision, and retirement plans Flexible work arrangements and professional development budget Reporting Structure This role reports directly to the CEO and will be a member of the executive leadership team. The CRO will manage multiple VP-level leaders across Engineering, Research, Infrastructure, and Security. Location San Francisco, CA (HQ) with flexibility for hybrid/remote work arrangements. Regular travel required for conferences, team meetings, and partnership activities.
Location: Híbrido (2-3 días en oficina y el resto desde casa/remoto) Tijuana, MXN Full Time Salary Range: $17,000 - $18,500 MXN base + estructura de comisiones Experience Level: Entry-level (2+) About Us Somos una empresa líder en el sector salud especializada en el cobro de pagos de seguros médicos. Actuamos como intermediarios entre proveedores de atención médica y compañías de seguros, asegurando cobros oportunos y eficientes. Nuestro compromiso con un servicio excelente y el mantenimiento de relaciones sólidas con nuestros clientes nos distingue en la industria. Position Overview Buscamos un Asesor Comercial dinámico y orientado a resultados para unirse a nuestro equipo. En este rol, serás el responsable de identificar y colaborar con nuevos clientes potenciales (médicos), presentándoles nuestra solución de factoraje de manera clara y convincente. El candidato ideal tiene un trato excepcional con los clientes, disfruta de la prospección activa y cuenta con habilidades de comunicación sobresalientes para construir relaciones de confianza a largo plazo. Key Responsibilities Prospección y Desarrollo de Negocio: Identificar y contactar a nuevos clientes potenciales a través de llamadas en frío, visitas, referencias y networking. La prospección activa y constante es fundamental. Gestión del Ciclo de Venta: Guiar al cliente desde el primer contacto hasta el cierre de la venta, presentando nuestra solución de manera clara y convincente. Gestión de Clientes: Mantener una comunicación fluida y amable con los clientes, resolviendo dudas y construyendo una relación a largo plazo. Coordinación Interna: Trabajar de la mano con el equipo de gestión, cobranza y operaciones para asegurar que el proceso de alta y gestión de documentación sea eficiente y ordenada. Reportes y Seguimiento: Mantener un registro detallado de la actividad en un CRM para dar seguimiento a los avances y resultados. Required Skills & Experience Experiencia Comprobada en Ventas: Mínimo de 2 años de experiencia en un rol de ventas, preferiblemente en un sector de alta prospección. Habilidades de Prospección en Frío: Capacidad demostrada para contactar y generar interés en clientes potenciales sin un contacto previo. Habilidades de Comunicación: Un trato amable, empático y profesional, con capacidad de explicar conceptos de manera sencilla. Orientación a Resultados: Ser una persona ambiciosa, automotivada e impulsada por los objetivos. Organización y Proactividad: Capacidad para manejar múltiples procesos de venta simultáneamente y mantener un registro ordenado de la información. Resiliencia: Mantener una actitud positiva frente al rechazo y demostrar perseverancia. Adaptabilidad: Sentirse cómodo aprendiendo sobre un nuevo sector (financiero y médico) y adaptando el discurso a las necesidades del cliente.