Director, Data Engineering, ML – AI

🕒 April 16

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Measurabl

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🏠 Real Estate

☁️ SaaS

📋 Compliance

💰 $50M Series C on 2021-09

Real Estate • SaaS • Compliance

Measurabl is an enterprise software company specializing in Environmental, Social, and Governance (ESG) data for the real estate sector. It provides a platform to quantify and optimize ESG data, enabling real estate owners, operators, and investors to measure, report, and catalyze sustainability efforts. By leveraging their Quantum Cloud data engine, Measurabl offers tools to improve compliance, asset optimization, and climate risk assessment, helping clients gain a competitive edge with accurate sustainability reporting and analysis.

📋 Description

• 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

• 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

• 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