Quiénes Somos Somos una empresa dedicada al alquiler de habitaciones y pisos para estudiantes, con presencia en varias ciudades y en proceso de expansión hacia nuevos mercados, incluyendo Miami (EE.UU.). Nuestro enfoque es ofrecer soluciones de alojamiento seguras y bien gestionadas para jóvenes universitarios y profesionales, utilizando un modelo ágil, moderno y digitalizado. Perfil del Puesto Buscamos una persona estructurada, confiable y proactiva, con capacidad organizativa para brindar soporte administrativo, asistencia personal y ayuda operativa en nuestras gestiones diarias y expansión internacional. Responsabilidades: Asistencia Personal y Operativa Gestión de agenda, reuniones y recordatorios. Organización de tareas, planificación y seguimiento. Apoyo en la creación, edición y archivo de documentos. Coordinación diaria y soporte administrativo general. Gestión de Publicaciones y Reservas Subir fotos y videos a plataformas como Airbnb, Idealista y redes sociales. Redacción de descripciones claras y atractivas. Atención a consultas de clientes potenciales. Explicación detallada de las condiciones de reserva. Gestión y seguimiento hasta el cierre de reservas. Comisión del 10% por cada cierre de reserva. Requisitos: Residir en Latinoamérica. Excelente organización, estructura y manejo del tiempo. Perfil autónomo, confiable, comunicativo y resolutivo. Buen manejo de herramientas ofimáticas (Google Workspace, Word, Excel, etc.). Inglés básico/intermedio (deseable). Experiencia como asistente virtual, administrativo o atención al cliente. Valoramos También: Conocimientos de plataformas de alquiler. Experiencia en CRM, Trello, Notion, Asana o herramientas de productividad. Interés en crecer con una startup en expansión. Lo Que Ofrecemos: Estabilidad y posibilidad de crecimiento dentro del equipo. Trabajo remoto 100%, con horario compatible con Miami. Clima de trabajo flexible y humano, enfocado en resultados. Participación en un proyecto sólido y en expansión internacional. Comisiones atractivas por desempeño (10% por cierre).
Job Title: B2B Sales Executive (Mexico City – Hybrid) Location: Mexico City, Mexico (Hybrid) Experience Level: Entry-Level (1–3 years of experience) Languages Required: Spanish (required); English is desirable but not essential About the Role We’re seeking a highly motivated and results-oriented B2B Sales Executive to join our team in Mexico City. The ideal candidate will be responsible for identifying new business opportunities, building strong relationships with prospects and existing clients, and meeting sales targets. This is a hybrid role that requires a solid understanding of the B2B sales cycle, excellent communication and negotiation skills, and the ability to collaborate across departments to drive business growth. Key Responsibilities Conduct market research to identify new sales opportunities and assess client needs in the Mexican market Actively prospect and generate new business via cold calls, networking, social media, and other lead generation strategies Schedule and conduct meetings with potential clients to present services and understand their requirements Prepare and deliver compelling, customized sales presentations and proposals Negotiate and close sales deals while ensuring client satisfaction and revenue goals Build and maintain long-term client relationships as a trusted advisor Collaborate with internal teams (marketing, product development, support) to ensure smooth client onboarding and satisfaction Manage the sales pipeline, update CRM records, and provide accurate sales reporting Attend trade shows, industry conferences, and networking events to represent the company and generate leads Stay informed about market trends, competitors, and best practices in B2B sales Requirements Proven experience in a B2B sales role in the Mexican market Strong track record of meeting or exceeding sales targets Excellent communication, presentation, and negotiation skills Ability to build rapport and influence stakeholders at all levels Proactive, results-driven, and self-motivated with strong work ethic Proficiency with CRM software (e.g., Salesforce, HubSpot) Familiarity with marketing and negotiation techniques Ability to work both independently and collaboratively Bachelor’s degree in Business, Marketing, or a related field (preferred) Availability to travel within Mexico as needed Preferred Qualifications Experience in a relevant industry (e.g., technology, manufacturing, services) Knowledge of Mexico’s business and cultural landscape Work Modality Hybrid (partial remote and in-person in Mexico City) Compensation & Benefits Competitive commission structure Opportunities for career growth and professional development Dynamic, collaborative work environment Additional benefits to be specified by the company
About Mappa Mappa builds real-time voice-AI infrastructure that decodes over 100,000 behavior patterns per person—based on prosodic and linguistic signals—and turns them into actionable insights for hiring and beyond. Our data science team transforms raw audio into structured understanding at scale. Role Purpose Analyze and model complex behavioral and audio data sets to power Mappa’s AI systems. You’ll design and implement data pipelines, extract actionable insights, and prepare datasets for training cutting-edge machine learning models. Key Outcomes (First 6 Months) Deliver at least 3 key insights from exploratory analysis that inform product or model design. Build and deploy at least one production-grade ML-ready dataset using Airflow. Identify and implement ≥ 2 performance improvements in existing data pipelines. Collaborate with ML and Product to define data strategies for new features or behavior signals. Core Responsibilities Analyze voice, text, and behavioral datasets using statistical and ML methods. Prepare, clean, and transform data for downstream machine learning tasks. Design and maintain data pipelines using Airflow and Dockerized workflows. Contribute to model development using tools like Hugging Face and PyTorch. Collaborate with ML Engineers and Product to align data initiatives with product goals. Present findings and prototypes to cross-functional stakeholders, including CTO and COO. Monitor data health, quality, and coverage across all stages of the pipeline. Must-Have Skills 3–5 years in data science, ML, or analytics with experience in real-world data problems. Proficiency in Python and ML/data libraries (e.g., pandas, scikit-learn, Hugging Face). Experience building and maintaining data pipelines with Apache Airflow. Familiarity with Docker and modern data architecture principles. Strong foundation in statistics, data wrangling, and model evaluation. Comfortable communicating complex results to non-technical stakeholders. Fluent in English. Nice-to-Have Experience with audio, voice, or behavioral datasets. Familiarity with time-series analysis or sequence modeling. Knowledge of vector embeddings or NLP model fine-tuning. Who You Are A curious and rigorous thinker who’s fluent in data and comfortable navigating ambiguity. You love turning messy signals into structured insight—and insights into products. You value reproducibility, impact, and collaborating with multidisciplinary teams. Why Join Mappa Deep impact: Your insights shape the core of our AI product. Modern stack: Work with Python, Hugging Face, Airflow, and Docker in a fast-moving team. Remote-first: Join a distributed team across LatAm and the U.S.
QA / Test Automation Engineer Location: Remote (LatAm time zones preferred) Type: Full-time Reports to: CTO About Mappa Mappa builds real-time voice-AI infrastructure that decodes over 100,000 behavior patterns per person—based on prosodic and linguistic signals—and turns them into actionable insights for hiring and beyond. Quality and reliability are core to our product—and we’re looking for someone who ensures both scale with us. Role Purpose Design and maintain test automation systems that guarantee the stability, performance, and trustworthiness of Mappa’s voice-AI platform. You'll lead the creation of robust test cases, frameworks, and regression suites integrated with our CI/CD pipelines. Key Outcomes (First 6 Months) Implement automated test coverage for all core application components (frontend and backend). Reduce manual regression testing time by ≥ 60% via automation. Detect and prevent critical bugs pre-deployment in at least 90% of release cycles. Integrate testing into our CI/CD workflows and ship reliable builds multiple times per week. Core Responsibilities Design and implement end-to-end, integration, and regression test cases for web and backend components. Build and maintain test automation frameworks using Python, TypeScript, Selenium, Puppeteer, and PyTest/Bun. Integrate testing pipelines with CI/CD tools (Jenkins, GitHub Actions) for automated validation. Collaborate with Engineering and Product to define test plans and acceptance criteria. Monitor test coverage, identify gaps, and proactively improve testing strategies. Triage bugs, write detailed bug reports, and contribute to root cause analysis post-deployment. Maintain test documentation and ensure testing processes are well-documented and repeatable. Must-Have Skills 3+ years of experience in QA engineering or test automation. Strong proficiency in Python and/or TypeScript for scripting and test development. Experience with test automation tools (e.g., Selenium, Puppeteer) and test frameworks (PyTest, Bun or similar). Solid understanding of CI/CD pipelines and automated testing in release workflows. Familiarity with test case management, regression testing, and performance validation. Excellent attention to detail and process ownership. Fluent in English. Nice-to-Have Experience in testing AI or voice-based applications. Familiarity with monitoring tools or observability stacks (e.g., Sentry, Datadog). Exposure to performance and load testing frameworks. Who You Are A quality guardian who builds systems to break things—before users ever see a bug. You bring structure to chaos, automate relentlessly, and think like both an engineer and a user. You’re the last line of defense and proud of it. Why Join Mappa Product-critical role: Your tests keep our behavioral AI system stable and trustworthy. Modern stack: Work with engineers shipping Python, TypeScript, CI/CD, and agents at scale. Remote-first: Join a distributed team across LatAm and the U.S.
Machine Learning Engineer Location: Remote (LatAm time zones preferred) Type: Full-time Reports to: CTO About Mappa Mappa builds real-time voice-AI infrastructure that decodes over 100,000 behavior patterns per person—based on prosodic and linguistic signals—and turns them into actionable insights for hiring and beyond. Our ML stack is core to transforming raw audio into structured behavioral data at scale. Role Purpose Design, train, and deploy machine learning models that power Mappa’s behavioral inference engine. You'll work across the ML lifecycle—from data ingestion to optimized neural network deployment—ensuring speed, precision, and reliability at scale. Key Outcomes (First 6 Months) Develop and productionize at least two core models contributing directly to behavior extraction. Optimize inference performance by reducing model latency and memory consumption by ≥ 30%. Implement a modular training pipeline that supports continuous experimentation and deployment. Collaborate with data and infra teams to streamline the ML-to-production workflow using MLOps best practices. Core Responsibilities Design, train, and evaluate ML models—especially neural networks—for behavioral and linguistic data. Optimize tensor operations for efficient computation and memory usage in real-time environments. Implement scalable pipelines for data preprocessing and feature engineering using tools like Spark or Kafka. Apply model evaluation techniques, error analysis, and performance monitoring in production. Collaborate with Engineering and Data Science to integrate models into the voice-AI infrastructure. Contribute to MLOps processes including CI/CD for models, versioning, and experiment tracking. Must-Have Skills 3–5 years of experience in machine learning or applied deep learning roles. Strong Python skills and deep proficiency in PyTorch (or equivalent frameworks). Experience with neural network design, training optimization, and inference tuning. Familiarity with MLOps practices and tools for model deployment and monitoring. Understanding of distributed data processing tools (e.g., Apache Spark, Kafka). Strong grasp of model evaluation, bias/error analysis, and validation workflows. Fluent English. Nice-to-Have Experience with voice/audio data or NLP tasks. Familiarity with vector databases, real-time inference, or edge model deployment. Exposure to infrastructure-as-code tools and scalable cloud environments. Who You Are You turn data into models and models into real-world impact. You care about performance—computational, behavioral, and business—and thrive in fast-moving environments where research meets production. You bring scientific rigor and engineering discipline to every experiment. Why Join Mappa Cutting-edge tech: Tackle voice-AI, real-time inference, and behavioral modeling at once. High ownership: Build and ship models that power our core product. Remote-first: Join a distributed team across LatAm and the U.S.
About Mappa Mappa builds real-time voice-AI infrastructure that decodes over 100,000 behavior patterns per person—based on prosodic and linguistic signals—and turns them into actionable insights for hiring and beyond. We’re growing fast and building novel LLM-based systems that power behavior interpretation at scale. Role Purpose Design, implement, and maintain agentic systems that turn raw voice data into intelligent decisions. You'll own the architecture and prompt logic behind Mappa’s LLM pipelines—ensuring safe, scalable, and high-precision outcomes. Key Outcomes (First 6 Months) Build and deploy core LLM agents capable of executing multi-step reasoning tasks with memory, safety checks, and structured handoffs. Deliver prompt architectures that support real-time interaction with prosodic and linguistic features. Implement testing and evaluation workflows to monitor hallucinations, latency, and performance of agentic flows. Collaborate with behavioral scientists and product teams to continuously refine the signal-to-insight loop. Core Responsibilities Architect and maintain prompt frameworks, chains, and guardrails for LLM-based behavior inference. Build custom agents using tools like OpenAI’s Agents Framework, integrating with internal APIs and voice-processing layers. Implement memory systems, feedback loops, and handoff logic to other systems (human or machine). Ensure safety, reliability, and transparency across LLM interactions. Partner with Engineering and Data Science to continuously test, fine-tune, and improve LLM performance. Document systems, prompts, and experiments for internal reproducibility and iteration. Must-Have Skills 3–5 years of experience in backend or ML engineering with exposure to LLMs and agentic architectures. Strong knowledge of Python and/or TypeScript. Hands-on experience with prompt engineering and LLM APIs (OpenAI, Anthropic, etc.). Familiarity with agent frameworks (e.g., OpenAI Agents, LangChain, or similar). Understanding of memory management, handoff logic, and prompt evaluation techniques. Ability to collaborate closely with product, behavior science, and data teams. Fluent English. Nice-to-Have Experience working with safety tooling for LLMs (e.g., moderation APIs, rule-based filters, evaluation tooling). Exposure to voice, audio, or NLP pipelines. Familiarity with real-time or latency-sensitive AI systems. Who You Are Builder of smart systems. You move fast, test relentlessly, and are passionate about using LLMs not just to chat—but to reason, decide, and act. You care about edge cases, safety, and crafting behavior that feels intentional and reliable. Why Join Mappa Deep tech: Work at the intersection of LLMs, voice, and behavioral science. High ownership: Build the agentic brain behind our core products. Remote-first: Join a distributed team across LatAm and the U.S.
Growth Marketing Lead About Mappa Mappa builds real-time voice-AI infrastructure that decodes over 100,000 behavior patterns per person—based on prosodic and linguistic signals—and turns them into actionable insights for hiring and beyond. We’re growing fast and need a marketing-obsessed operator to keep our performance flywheel spinning. Role Purpose Identify, test, and scale acquisition and retention levers that move revenue—fast. Own the full growth stack from channel exploration to campaign execution, measurement, and iteration. Key Outcomes (First 6 Months) Launch a growth engine across paid, organic, PLG, and partner channels. Increase qualified pipeline by 40% while keeping CAC payback ≤ 3 months. Design and execute a lifecycle program that boosts product activation by 25%. Co-build a growth analytics dashboard with the Performance Lead to track acquisition, activation, retention, and expansion metrics. Launch one scalable new channel (e.g., co-marketing, community, API marketplace) that contributes ≥10% of net-new MRR. Core Responsibilities Generate and prioritize hypotheses using funnel data, user research, and competitive intel (ICE/RICE scoring). Execute campaigns end-to-end: copy, creative, landing pages, tracking, and reporting across paid, organic, programmatic, and email. Own SEO and content ops: keyword strategy, on-page optimization, backlink outreach, and performance tracking. Drive product-led growth loops: in-app prompts, referrals, pricing/packaging tests. Manage marketing automation in Pipedrive for lead nurture and lifecycle. Collaborate with Sales, Product, and Data for accurate attribution and shared insights. Monitor cohort metrics: CAC, LTV, payback, NDR; deliver insights to the C-suite for decision-making. Must-Have Skills 4–6 years in growth/performance marketing for B2B SaaS or API products; early-stage startup experience required. Full-funnel operator: can plan channel strategy at 9 a.m. and launch a campaign by 3 p.m. Hands-on with Google Ads, LinkedIn, Meta, programmatic DSPs, SEO tools, and marketing automation. Strong SQL and spreadsheet skills; capable of building cohort models and debugging attribution. Solid understanding of A/B and multivariate testing and statistical significance. Persuasive copywriter with an eye for creative; can brief designers or build in Figma/Canva if needed. Fluent in English; Spanish or Portuguese is a plus. Nice-to-Have Experience marketing data or AI products to both technical and non-technical buyers. Familiarity with APIs, SaaS, and product-led onboarding. Proven success launching community-led or partner-led growth programs. Who You Are An action-biased self-starter who moves fast, learns faster, and doesn’t wait for permission. Equally at home debating CAC curves with the CFO or writing ad copy that converts. You measure success in revenue, not vanity metrics or slides. Why Join Mappa Real ownership: Your experiments directly influence revenue and market share. Builder culture: Work alongside operators, engineers, and scientists who ship fast and iterate faster. Remote-first: Join a distributed team across LatAm and the U.S.
About Mappa Mappa builds real-time voice-AI infrastructure that decodes over 100,000 behavior patterns per person—based on prosodic and linguistic signals—and turns them into actionable insights for hiring and beyond. We’re growing fast and need a data-obsessed operator to keep our performance flywheel spinning. Role Purpose Own the source of truth for how the business performs—across operations, product, and technology—and surface insights that drive revenue growth and efficiency. Key Outcomes (First 6 Months) Deploy company-wide performance dashboards (daily, weekly, monthly) tracking funnel, product usage, SLA compliance, and cost drivers. Identify ≥ 5 high-impact efficiency opportunities worth $250K+ in new revenue. Implement a lightweight OKR tracking system and cadence with C-level owners. Launch a monthly “State of Mappa” report to guide strategic decision-making. Core Responsibilities Map internal and client-facing processes; define KPIs and leading indicators. Build and maintain BI dashboards using Excel, SQL, and tools like Tableau, Looker, or Metabase. Lead deep-dive analyses on product telemetry, AI pipeline costs, and sales funnels. Collaborate with Engineering to instrument events and automate data flows. Drive cross-functional projects to improve conversion, retention, and gross margin. Present insights to CEO, COO, and CTO; turn findings into action and lead implementation. Conduct post-mortems and root-cause analyses for missed targets. Must-Have Skills 5–8 years in analytics, business operations, or growth at fast-paced, early-stage startups. Excel/Google Sheets power user (array formulas, Power Query, VBA/scripts, Monte Carlo). Strong SQL skills and experience with at least one BI stack (Looker, Tableau, Power BI, Metabase). Proven ability to manage cross-functional projects end-to-end. Strong grasp of SaaS metrics: CAC, LTV, payback, NDR, cohort analysis, funnel health. Fluent in English and Spanish. Nice-to-Have Ability to code for ad-hoc analysis and automation. Familiarity with RevOps tools (e.g., HubSpot, Salesforce, Mixpanel, Segment). Who You Are An analytical athlete who transforms messy data into crisp insights and ruthless prioritization. Builder mindset: automate today, optimize tomorrow. You challenge with facts, not opinions, and thrive in ambiguity at startup speed. Why Join Mappa Direct impact: Your dashboards drive weekly C-level decisions. Tech-driven culture: Collaborate with operators, engineers, scientists, and product thinkers. Remote-first: Join a distributed team across LatAm and the U.S.
Mappa builds real-time voice-AI infrastructure that decodes over 100,000 behavior patterns based on prosodic and linguistic signals per person, turning them into actionable insights for hiring, and more. We’re growing fast—and need a data-obsessed operator to keep our performance flywheel spinning.Role Purpose Own the narrative, positioning, and go-to-market strategy for Mappa’s platform—driving adoption, activation, and revenue growth Core Responsibilities • Partner with Product Designer, Tech and Growth to define value props, personas, UX and success metrics for every release. • Design and execute GTM plans—beta programs, rollout comms, launch assets, and enablement. • Own website and self-serve funnel messaging; iterate with A/B tests and analytics. • Conduct market and user research to uncover pains, Jobs-to-Be-Done, and whitespace. • Collaborate with Growth to run campaigns that boost qualified leads and product-led expansion. • Equip Sales and Customer Success with narratives, decks, and objection-handling guides. • Track launch KPIs and synthesize insights for C-level decision-making.Must-Have Skills • 3–5 years in product marketing for B2B SaaS or growth startups. • Proven record of launching technical products and driving measurable adoption. • Sharp storyteller who can distill complex ML / API concepts into clear, compelling copy and narrative. • Data fluency—comfortable in BI for cohort and funnel analysis. • Growth toolkit: A/B testing frameworks, pricing strategy, lifecycle email, PLG best practices. • Strong project management—able to rally Design, Eng, Sales, and Comms against tight timelines. • Native-level English and Spanish. Nice-to-Have • Exposure to API or Enterprise products. • Experience with marketing and productization in early stage startups. Who You Are Customer-obsessed, creative thinker, insight-driven, and endlessly curious. You zoom between high-level narrative and pixel-level detail, test hypotheses fast, and sweat the metrics. You thrive in ambiguity, default to action, and believe great products deserve unforgettable stories Why Join • Shape the category narrative for behavior mapping through voice AI. • Work with a cross-disciplinary team of operators, engineers, data scientists, and behavioral experts. • Remote-first culture
Overview We are seeking a talented Angular Frontend Developer to join our team in building a modern, scalable platform for scheduling, CRM, and field-service management. You’ll work closely with backend engineers, designers, and product stakeholders to create responsive, user-friendly web applications that power critical business workflows. Key Responsibilities • Develop dynamic, component-based user interfaces using Angular (v15+) • Build complex features including calendars, dashboards, and job dispatch views • Integrate RESTful APIs to support real-time, data-driven interactions • Ensure cross-platform compatibility with responsive (PWA) designs for desktop and mobile • Collaborate with backend developers, designers, and product teams to deliver high-quality user experiences • Write unit and integration tests to ensure code quality and maintainability • Optimize application performance, scalability, and accessibility Required Qualifications • 6+ years of hands-on experience with Angular (v12+), TypeScript, HTML5, and SCSS/CSS • Proficiency with RxJS or NgRx for state management • Solid understanding of REST APIs and JSON data handling • Experience with UI libraries such as Angular Material, Tailwind, or similar • Strong grasp of responsive design principles and cross-browser compatibility • Comfortable working in an Agile environment with Git version control Preferred Qualifications • Experience developing Progressive Web Apps (PWAs) or mobile-optimized interfaces • Familiarity with Azure DevOps, CI/CD pipelines, or automated deployments • Background in building scheduling or field-service solutions (e.g., calendars, dispatch, CRM features) Notes: This is a short-term position for the upcoming two months.