Engineering Manager, Business Intelligence at Attentive

Attentive logo
Attentive

Engineering Manager, Business Intelligence

180k - 260k USD

Remote

Full Time

#Engineering

#Business Intelligence

#Data Engineering

#SQL

#Python

#Snowflake

#DBT

#Looker

#Java

#Spark

#Kinesis

#Airflow

#Postgres

Attentive is looking for a Engineering Manager, Business Intelligence

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Attentive is the leading AI marketing platform that helps brands drive revenue through personalized SMS and email interactions. We support over 8,000 global brands, including names like Urban Outfitters and GUESS, by leveraging mobile-first technology to deliver high-impact commerce experiences. As we continue to grow, we are looking for a Senior Engineering Manager to lead our Business Intelligence Engineering team and shape the data infrastructure that powers our decision-making.

Responsibilities

  • Lead and mentor a high-performing team of engineers, defining roles and supporting their professional growth.
  • Partner with internal stakeholders across product, finance, and marketing to translate business needs into scalable data solutions.
  • Oversee the development and maintenance of our data warehouse, ensuring datasets are timely, accurate, and cost-efficient.
  • Drive the strategy for self-service analytics and promote data-driven decision-making throughout the organization.
  • Manage complex, fast-moving projects while maintaining high standards for code quality and engineering best practices.
  • Stay current with industry trends in software development and data engineering to ensure our stack remains competitive.

Must-haves

  • At least 7 years of experience in data engineering or business intelligence roles.
  • Proven track record of managing and coaching a team of at least 3 direct reports in a fast-paced environment.
  • Strong proficiency in SQL and experience optimizing queries for large-scale business environments.
  • Deep understanding of data warehousing concepts and modern data engineering best practices.
  • Exceptional communication skills, with the ability to present complex findings to executive leadership.
  • Fluency in English.

Nice-to-haves

  • Experience working within our core technology stack, including Python, Snowflake, DBT, and Looker.
  • Familiarity with distributed systems and big data tools such as Spark, Kinesis, Airflow, Java, or Postgres.

Benefits

The annual base salary for this position ranges from $180,000 to $260,000, depending on experience and location.

  • Remote work flexibility.
  • Equity compensation.
  • Flexible working hours.
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