Application Guide

How to Apply for Director, Data Engineering, ML & AI

at Measurabl

🏢 About Measurabl

Measurabl is the leading automated platform for measuring, managing, and boosting sustainability performance in commercial real estate. With a focus on AI-powered intelligence, they are transforming how the industry approaches environmental impact, making this a mission-driven company at the forefront of climate tech.

About This Role

This role leads the strategy and execution of Measurabl's data platform, ML, and AI capabilities, directly embedding intelligence into their sustainability platform. As a hands-on leader, you'll drive innovation in data infrastructure and applied AI to solve critical environmental challenges, positioning Measurabl as the definitive AI-powered sustainability intelligence platform.

💡 A Day in the Life

A typical day might involve reviewing data pipeline architecture with engineers in the morning, then joining a product strategy meeting to discuss AI features for the next quarter. Afternoon could include a one-on-one mentorship with a team lead, followed by hands-on work debugging a model deployment issue or evaluating a new tool for data processing.

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Interview Prep

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🎯 Who Measurabl Is Looking For

  • Experienced leader with a proven track record in building and scaling data platforms, ML models, and AI products in a fast-paced tech environment.
  • Deep technical expertise in data engineering, ML, and AI, with the ability to be hands-on when needed (e.g., architecting data pipelines, deploying models).
  • Passionate about sustainability and commercial real estate, with a desire to apply AI to drive measurable environmental impact.
  • Strong cross-functional collaborator who can partner with product, engineering, and business leaders to define and execute an AI strategy.

📝 Tips for Applying to Measurabl

1

Highlight any experience with sustainability data (e.g., energy, carbon, water) or commercial real estate analytics—even if tangential, show your domain interest.

2

Emphasize hands-on leadership: provide specific examples of when you personally coded, architected, or debugged systems, not just managed teams.

3

Tailor your resume to showcase end-to-end AI product delivery, from data ingestion to model deployment and monitoring.

4

Demonstrate impact with metrics: e.g., 'Reduced data processing time by 40%' or 'Deployed ML model that improved prediction accuracy by 25%'.

5

Research Measurabl's platform and competitors (e.g., Arc Skoru, Green Building Information Gateway) to show you understand the market.

✉️ What to Emphasize in Your Cover Letter

["Your vision for AI in sustainability and how it aligns with Measurabl's mission to boost sustainability performance.", 'Specific examples of leading data platform transformations and AI product launches, with measurable outcomes.', 'Your ability to balance strategic leadership with hands-on technical contributions in a remote, collaborative environment.', "Passion for climate tech and understanding of commercial real estate's role in global sustainability."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Measurabl's blog and press releases to understand their product roadmap and recent AI announcements.
  • → Familiarize yourself with their platform's data sources and how they handle energy, water, and waste data.
  • → Study the commercial real estate sustainability landscape, including key regulations (e.g., NYC Local Law 97, EU Taxonomy) and competitors.
  • → Look into their leadership team (especially CPTO and Product leaders) on LinkedIn to understand their backgrounds and priorities.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you design a data platform to handle diverse real estate data sources (e.g., utility bills, IoT sensors, building management systems)?
2 Describe a time you led a team to deploy an ML model into production. What challenges did you face and how did you overcome them?
3 What is your approach to prioritizing AI features vs. data infrastructure improvements when resources are limited?
4 How do you stay current with AI/ML advancements and decide which to adopt for a sustainability platform?
5 How would you measure the success of an AI-powered feature in Measurabl's product?
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⚠️ Common Mistakes to Avoid

  • Focusing only on management experience without demonstrating hands-on technical skills—this role requires both.
  • Being generic about AI/ML without connecting it to sustainability or real estate—show domain relevance.
  • Underestimating the importance of data engineering fundamentals (e.g., data quality, scalability, cost optimization) in favor of flashy AI models.

📅 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 Measurabl!

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