
Science • Artificial Intelligence • Environmental
Aclima, Inc. is a pioneering company that specializes in advanced air measurement and analysis. They utilize a network of roving and stationary sensors to provide high-resolution insights into air pollution and greenhouse gas emissions at an unprecedented scale. Their services enable industry, government, and communities to reduce emissions, improve public health, and ensure clean air for all through rigorous scientific methods and innovative data analytics.
October 11

Science • Artificial Intelligence • Environmental
Aclima, Inc. is a pioneering company that specializes in advanced air measurement and analysis. They utilize a network of roving and stationary sensors to provide high-resolution insights into air pollution and greenhouse gas emissions at an unprecedented scale. Their services enable industry, government, and communities to reduce emissions, improve public health, and ensure clean air for all through rigorous scientific methods and innovative data analytics.
• Lead, mentor, and grow a team of frontend engineers, fostering a culture of technical excellence and high performance. • Define the technical roadmap and architecture for our user-facing applications, emphasizing scalability and performance for large-scale geospatial data. • Serve as the primary technical expert on the integration and utilization of the CARTO platform (APIs, Builder, Analytics Toolbox) within Aclima's product suite. • Establish best practices for code quality, testing, deployment, and performance using modern technologies like React, TypeScript, and WebGL-based visualization frameworks. • Design and implement highly performant, custom interactive map visualizations to display block-by-block air quality data, AI-modeled insights, and climate-changing emissions. • Expertly utilize and customize CARTO's visualization libraries (especially deck.gl and MapLibre GL JS) to render high-resolution data layers (e.g., heatmaps, aggregated zones) efficiently. • Partner closely with Data Science and AI/ML teams to translate complex model outputs (e.g., pollutant source identification, forecasts) into meaningful visual stories and actionable user workflows. • Ensure a seamless, highly-responsive user experience across all our data exploration and reporting tools. • Drive the strategic use of CARTO's spatial data capabilities to power our application frontend, optimizing data fetching and rendering of billions of sensor measurements. • Collaborate with Product and Design to translate community, government, and enterprise needs into intuitive interfaces that facilitate data-driven decision-making.
• 5+ years of professional experience in frontend engineering, with at least 2+ years in a Lead, Principal, or Staff role, including direct mentorship or technical management. • Expert proficiency with modern JavaScript frameworks, particularly React and TypeScript. • Experience with Python or other scripting languages used in data science pipelines. • Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and CI/CD pipelines. • Deep, hands-on experience with the CARTO Platform, including its APIs, integration patterns, and ecosystem tools. • Proven expertise in geospatial data visualization using high-performance libraries like deck.gl, MapLibre GL JS, or similar WebGL-based technologies. • Demonstrable experience building visualizations and user interfaces for data science, business intelligence, or AI/ML applications, specifically focused on data exploration and analysis. • Solid understanding of architectural patterns for large-scale data applications (state management, performance optimization, data throttling).
• medical/dental/vision/Life/AD&D/LTD • 401K • commuter and wellness credits • company events • extraordinary culture
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