Data/AI Engineer jobs in United States
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Commons · 1 month ago

Data/AI Engineer

Commons is an award-winning app that helps people make sustainable spending choices. They are seeking an ambitious Data/AI Engineer to create tools that drive transparency and accountability in consumer spending, focusing on building scalable data infrastructure and applying AI to real-world problems.

AppsEnvironmental EngineeringMobile AppsSoftware

Responsibilities

Build scalable data infrastructure. Design and maintain pipelines that source, clean, and process large datasets, enabling us to evaluate thousands of brands efficiently
Unlock insights through rapid analysis. Conduct targeted analyses that answer critical business questions and help users make informed purchasing decisions
Apply AI to real-world problems. Develop agentic tools and leverage LLMs to automate data collection, improve recommendation systems, and scale our ability to assess brand sustainability
Collaborate across teams. Partner closely with Engineering and Product to understand our systems deeply, identify improvement opportunities, and scale solutions as we grow
Learn and iterate relentlessly. Embrace experimentation, treat learning as the primary outcome of your work, and push the team to move faster while staying focused on impact
Measure what matters. Define metrics to track progress, demonstrate system improvements, and quantify the real-world impact of your work

Qualification

SQLPythonData pipelinesAI toolsData analysisStructured thinkingBias for actionPassion for sustainabilityClear communication

Required

Proficiency in SQL, Python, and building data pipelines, with at least a few years of experience applying this in fast-moving work environments
Experience with scraping and cleaning data
You're an early adopter of GenAI tools and actively explore how LLMs can transform workflows
Experience applying AI to large-scale data collection, analysis, recommendations, or consumer applications
You approach problems methodically—seeking out new data sources, validating hypotheses, and building systems that scale
You thrive in fast-paced, ambiguous environments
You gather requirements efficiently, synthesize information into clear next steps, and communicate proactively in writing and conversation
You're motivated by helping people make informed choices and holding companies accountable
You're familiar with—or eager to decode—corporate sustainability practices

Company

Commons

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Sustainable spending made easy. Buy less. Buy better. Take climate action.

Funding

Current Stage
Early Stage
Total Funding
$3.5M
Key Investors
Sequoia Capital
2022-12-27Seed
2020-12-14Seed· $2.5M
2019-09-12Pre Seed· $1M

Leadership Team

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Sanchali Pal
Founder & CEO
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Company data provided by crunchbase