Director, Data Engineering, ML – AI

🕒 Abril 16

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Measurabl

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2013

🏠 Imobiliário

☁️ SaaS

📋 Conformidade

💰 $50.000.000 Series C em 2021-09

Real Estate • SaaS • Compliance

A Measurabl é uma empresa especializada em transformar dados ESG (Ambiental, Social e Governança) subjetivos em insights objetivos através de sua avançada plataforma de dados e soluções flexíveis. A empresa se concentra em quantificar e aprimorar a sustentabilidade para o ecossistema imobiliário, proporcionando uma vantagem competitiva para proprietários, operadores, investidores e índices. Sua plataforma, impulsionada pelo Quantum, agrega dados imobiliários para melhorar a análise de portfólio e o relatório das partes interessadas, levando a resultados mensuráveis em sustentabilidade. A Measurabl atende a mais de 1000 empresas em todo o mundo, auxiliando-as no rastreamento de emissões, melhoria do valor dos ativos e alcance de metas de sustentabilidade de maneira mais precisa e abrangente.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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