Application Guide

How to Apply for Senior Frontend Engineer

at Aclima

🏢 About Aclima

Aclima is pioneering hyperlocal air quality measurement using sensor networks and AI to map pollution at the block level, creating actionable climate insights for communities, governments, and businesses. Their mission-driven focus on environmental justice and data transparency makes this role impactful beyond typical tech positions, offering the chance to work on technology that directly informs climate policy and community health decisions.

About This Role

This Senior Frontend Engineer role focuses on building high-performance interactive map visualizations for Aclima's geospatial air quality data platform, requiring deep expertise with CARTO and geospatial libraries. You'll translate complex AI-modeled pollution data into intuitive user interfaces that help communities and policymakers understand environmental risks, making technical decisions that directly impact how billions of sensor measurements are visualized and explored.

💡 A Day in the Life

You might start by reviewing new AI-modeled pollution data from the Data Science team, then implement custom CARTO visualizations to display these insights at block-level resolution. Throughout the day, you'd optimize rendering performance for new sensor measurements, collaborate with Product on user workflows for community data exploration, and architect solutions for scaling visualization of billions of data points across Aclima's platform.

🚀 Application Tools

Generate Cover Letter

AI-powered, tailored for Aclima

Interview Prep

Practice questions for this role

🎯 Who Aclima Is Looking For

  • Has 4+ years with React/TypeScript and specific, hands-on experience with the CARTO Platform (APIs, integration patterns, ecosystem tools)
  • Demonstrates proven expertise with geospatial visualization libraries like deck.gl or MapLibre GL JS, not just basic mapping experience
  • Can show examples of optimizing performance for large-scale data visualization (billions of measurements mentioned in JD)
  • Has experience collaborating with Data Science/AI teams to translate model outputs into visual interfaces

📝 Tips for Applying to Aclima

1

Specifically highlight CARTO Platform experience in your resume - list specific APIs, tools, or integration patterns you've used

2

Include portfolio links or descriptions of geospatial visualization projects, especially those dealing with large datasets or environmental data

3

Mention any experience with air quality, climate, or environmental data visualization - this domain knowledge is highly relevant

4

Quantify performance optimizations you've implemented for data-heavy applications (e.g., 'reduced map render time by X% for Y million data points')

5

Research Aclima's existing platform (aclima.io) and be prepared to discuss how you'd improve their current visualizations

✉️ What to Emphasize in Your Cover Letter

["Your specific experience with CARTO Platform and how you've customized it for data visualization projects", 'Examples of translating complex data (especially environmental or geospatial) into intuitive user interfaces', 'Experience collaborating with Data Science/AI teams to visualize model outputs', "Why you're passionate about Aclima's mission of environmental justice and hyperlocal air quality mapping"]

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Explore Aclima's public platform and existing map visualizations at aclima.io to understand their current approach
  • → Research CARTO's latest platform features and visualization libraries they might be using
  • → Understand the environmental justice context in San Francisco/Bay Area communities where Aclima operates
  • → Review Aclima's partnerships with government agencies and how their data informs policy decisions

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Deep technical questions about CARTO Platform customization and integration patterns
2 Performance optimization strategies for rendering billions of geospatial data points in browser-based maps
3 How you'd approach translating AI-modeled pollution data into actionable visual stories for different user types (community members vs. policymakers)
4 Architecture decisions for scalable geospatial applications handling large-scale sensor data
5 Specific experience with deck.gl/MapLibre GL JS and WebGL optimizations for map visualizations
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Generic frontend experience without specific CARTO or geospatial visualization expertise
  • Focusing only on UI/UX without demonstrating ability to handle large-scale data performance challenges
  • Not showing understanding of Aclima's specific mission or how this role differs from generic frontend positions

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Aclima!

← Back to Job Listing Apply Now →