Machine Learning Engineer

Full-time (40h/week), Remote  About Us We are a technology company on a mission to transform how organizations use data. We believe that for businesses to lead their industries, they must effectively harness their data. Our innovative, AI-powered analytics platform was built to make data-driven insights universally accessible, eliminating the need for complex infrastructure or large specialist teams. We empower non-technical users to connect to hundreds of data sources, ask questions in plain English, and get immediate, actionable insights. By unifying disparate data and enabling easy collaboration, we help businesses make faster, smarter decisions and turn their data into a pivotal competitive advantage. About the role We are seeking a Customer Success Engineer to handle customer-specific technical implementations and platform work. This is a crucial, forward-facing technical role designed to support our customers by addressing their unique account issues and technical needs, complementing our existing data team. This position will report directly to the CTO and work closely with internal stakeholders like the Product Manager and the Customer Success team. The primary focus will be on technical execution, with the potential for limited direct client communication via email or tickets. You will be instrumental in ensuring our customers are successfully onboarded and supported, directly impacting their success and our company's growth. Key responsibilities: Configure, debug, and manage ETL pipelines for new customer implementations. Build and maintain custom Airbyte connectors (Python or low-code/no-code) to meet specific customer data integration needs. Troubleshoot and resolve issues with Fivetran connectors. Provide AWS infrastructure support for customer environments, particularly managing S3 and IAM roles for secure data transfer Handle API integration work for customer accounts. Collaborate with and support our existing data team contractors. Utilize AI tools to debug SQL queries and troubleshoot various technical issues. Perform data quality assurance and validation to ensure data integrity. Set up customized BI dashboards for customer accounts within our platform. Review user LLM session logs to diagnose issues with our RAG pipeline and create detailed tickets for the engineering team. Requirements: Mid-level or higher engineering experience with a strong background in data engineering and ETL processes. Proficiency with Fivetran, Airbyte or equivalent ETL tools. Proficiency with AWS, specifically S3 and IAM roles. Solid experience with API integration, and debugging. Basic to advanced SQL proficiency for debugging and data validation. Proven ability to work independently and take ownership of customer-facing technical issues. Comfortable debugging issues throughout a data platform stack (from front-end to database and infrastructure) and writing clear, actionable bug tickets for the development team. Tools: Cloud: AWS (S3, IAM) Data Tools: Fivetran, Redshift, pgVector/Postgres, Metabase Languages: Ruby, Python Frontend: React (experience is helpful) Authentication: Keycloak AI: OpenAI, Anthropic Project Management: Trello Nice to have: Familiarity with AI/LLM tools and debugging (or enthusiasm to learn) Existing Airbyte/Fivetran/general ETL connector development experience Familiarity with data transformation tools and data modeling (eg. dbt) More advanced SQL and data analysis skills We would want at least 4 hours of overlap in the morning (9AM-1PM) as we have people in other timezones where the morning makes sense. Ideally would be US hours overlap (9AM-6PM or thereabouts) as reactive issues can come in from clients throughout the day.

About the Role We are seeking a Senior Frontend Engineer with a strong background in building SaaS applications and data-rich user interfaces. In this role, you will lead the development of performant, maintainable, and visually intuitive web applications. You’ll collaborate closely with product managers, designers, and backend engineers to create analytical dashboards, data visualizations, and user experiences that empower our users to make informed decisions. Responsibilities Architect and develop complex frontend features using React and Redux Design and maintain a modular component library using Storybook Integrate and manage dynamic data through GraphQL APIs (e.g., Apollo Client) Build intuitive, high-performance analytical dashboards and data visualizations (e.g., charts, tables, KPIs) Collaborate with design and product teams to translate complex requirements into seamless user experiences Drive frontend best practices around performance, testing, maintainability, and accessibility Conduct code reviews, mentor team members, and contribute to a strong engineering culture Optimize user interfaces for speed, scalability, and cross-browser compatibility Qualifications 5+ years of professional experience in frontend development Proven experience building SaaS applications with complex UI requirements Deep expertise in React.js and Redux Solid experience with GraphQL and modern state/data management patterns Strong understanding of building analytical dashboards, including experience with charting libraries (e.g., Recharts, D3, Chart.js, Highcharts) Proficiency in modern JavaScript (ES6+), HTML5, and CSS3 Experience with frontend testing tools and frameworks (Jest, Testing Library, Cypress, etc.) Excellent communication and collaboration skills Nice to Have Experience with TypeScript Hands-on proficiency with Storybook and component-driven development Background in data-heavy domains such as analytics, BI, or financial dashboards Experience building or contributing to design systems Familiarity with CI/CD pipelines and modern build tools (Webpack, Vite, etc.)

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.