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Measurabl

Director, Data Engineering, ML – AI

Measurabl

Director of Data Engineering leading ML and AI initiatives for Measurabl. Responsible for data platform strategy and sustainability analytics in commercial real estate.

Posted 4/16/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
AirflowETLKafkaSpark

About the role

Key responsibilities & impact
  • Own and evolve Measurabl’s data platform architecture—warehousing, ETL/ELT pipelines, data quality frameworks, and data governance practices
  • Drive data reliability and observability at scale
  • Establish and enforce data contracts, lineage, and cataloging standards across the organization
  • Evaluate and adopt modern data stack technologies (e.g., Snowflake, dbt, Airflow, Spark, Kafka)
  • Define and execute the ML/AI product roadmap
  • Lead development of production ML systems
  • Champion the responsible adoption of LLMs and generative AI across the product
  • Establish MLOps practices
  • Build and scale sustainability-specific data models, carbon accounting frameworks, and benchmarking analytics
  • Drive department engagement and performance through hands-on leadership
  • Define and execute annual strategic plan/focus and department OKRs

Requirements

What you’ll need
  • 10+ years of hands-on experience in data engineering, ML engineering, or applied AI, with at least 3–5 years in a leadership role managing teams of 5+.
  • 15+ years of hands-on and leadership experience for VP.
  • Education, whether formal or informal, in computer science, data science, engineering, or a related quantitative field
  • Proven track record of shipping ML/AI-powered product features at scale in a SaaS or data-platform environment
  • Demonstrated leadership experience and ability to drive team success across data engineering, ML, and analytics functions
  • Previous experience managing large-scale data and AI projects that interplay with multiple teams and/or stakeholders
  • Experience in commercial real estate, sustainability/ESG, cleantech, or regulated data environments is a strong plus
  • Familiarity with ESG frameworks and standards such as GRESB, GHG Protocol, ENERGY STAR, CSRD, or TCFD is a plus
  • A combination of professional or educational experience (whether formal or informal) that affords you with the knowledge, skills, and abilities above

Benefits

Comp & perks
  • Flexible PTO
  • Health and Dental Insurance + HSA options
  • Pet Insurance
  • Holiday Paid Time Off
  • Matching 401k
  • 100% fully remote
  • Flexible work hours
  • Monthly phone & internet reimbursement
  • Stock options
  • Bonus potential

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data engineeringML engineeringapplied AIETLELTdata quality frameworksdata governanceMLOpsdata modelingbenchmarking analytics
Soft Skills
leadershipteam managementstrategic planningperformance managementcross-team collaborationcommunicationengagement