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.
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.
About Us: We are creating a secure ecosystem for gamers, where they can discover opportunities, events, community insights, and tools for professional and social growth in the gaming world. We are passionate about building a platform that empowers gamers and enhances their experience. Position Overview: We are looking for a talented Frontend Developer with expertise in Nuxt and Vue.js to join our dynamic team. This is an exciting opportunity for someone who is semi-senior or more experienced to contribute to innovative projects that make a difference in the gaming community. We value team members who are gamers themselves, especially those with competitive gaming experience. Key Responsibilities: Develop and maintain user-friendly web applications using Vue.js and Nuxt. Collaborate with designers and backend developers to create seamless user experiences. Implement responsive design principles to ensure applications work on various devices. Optimize applications for maximum speed and scalability. Write clean, maintainable code and conduct code reviews. Stay updated with the latest industry trends and technologies to enhance our platform. Required Skills: Proficiency in Vue.js and Nuxt.js. Experience with state management libraries like Pinia. Strong knowledge of TypeScript. Familiarity with CSS frameworks such as Tailwind CSS. Understanding of RESTful APIs and asynchronous programming. Ability to work collaboratively in a team environment. What We Offer: PTO A vibrant work culture focused on innovation and creativity. Opportunities for professional growth and development within the gaming industry. Flexible working hours and remote work options. The chance to be part of a passionate team dedicated to making a positive impact on the gaming community. Exceptional performers will be highly rewarded for their contributions. If you are a gamer based in Buenos Aires looking to make an impact in the gaming world, we want to hear from you!
Junior Developer – AI Agents & Venture Tech We’re looking for a motivated Junior Developer to join our venture capital tech team and lead a project focused on building autonomous AI agents that help us identify promising startup founders. Key Responsibilities Design and build workflows using tools like LangChain, LLM APIs, and scrapers Integrate messy, unstructured data into clear, actionable founder profiles Create simple dashboards, APIs, or notebooks to present insights to non-technical users Experiment with evaluation models using embeddings, heuristics, and founder scoring Test your tools directly in our real-world startup evaluation process Take full technical ownership of the project—from prototyping to iteration Think critically about signal quality, even more than perfect code Collaborate closely with a small team that values speed, creativity, and real impact Requirements Experience with AI agents, scrapers, or automation workflows Comfortable working independently on open-ended problems Strong interest in startups, founders, and how high-impact companies emerge Bonus: Familiarity with LangChain, vector stores, or knowledge graphs
Remote – Preferably based in Colombia Full-time Mid-level (3–5 years of experience) Basic English required About the Role We are looking for a proactive and highly skilled Full Stack Developer with strong foundations in modern web development and solid engineering practices. You’ll join a fast-moving, collaborative team to build scalable, maintainable products using a modern stack — Golang on the backend and React with Next.js on the frontend. This is a hands-on role suited for someone who thrives in autonomous environments, is passionate about writing clean and testable code, and enjoys solving real product challenges from end to end. Key Responsibilities Build and maintain full-stack features using Go (backend) and Next.js (frontend) Contribute to architectural decisions and system design Help develop scalable solutions, ideally within a serverless infrastructure (e.g., AWS Lambda) Write high-quality, testable, and well-documented code Participate in development workflows: Git, code reviews, testing, CI/CD Collaborate effectively with team members while working independently Requirements 3–5 years of experience in full stack development Strong hands-on experience with Golang for backend services and RESTful APIs Solid knowledge of React.js and Next.js, including server-side rendering and state management Familiarity with databases such as PostgreSQL and/or MongoDB Strong problem-solving and logical reasoning skills Comfortable with development best practices and agile collaboration Good communication skills and ability to work well in remote environments Basic English proficiency (reading and writing) Nice to Have Experience with serverless architectures (e.g., AWS Lambda, SQS, API Gateway) Familiarity with AWS tools such as S3, DynamoDB, EventBridge Experience in performance optimization, authentication/token management, or security best practices
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.