Engineering Manager, BI Tooling and Platform - Attentive

Job Title: Engineering Manager, BI Tooling and Platform
Job Location: United States
Job Listing URL: https://jobs.lever.co/attentive/16538c72-41a4-433c-9821-c3883001b001
Job Description: Attentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that truly resonate.

With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. To learn more or request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.

Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees!

About the Role
Our Business Intelligence team transforms complex data into actionable insights and impactful reporting. We empower clients and internal teams with the metrics, analytics, reports, and visualizations needed to make informed decisions and shape strategies that drive meaningful growth. Joining our team offers a dynamic career opportunity to collaborate with some of the most talented data professionals in a high-performance, high-impact environment.
What You'll Accomplish
Define and drive the roadmap and vision for the BI Tooling & Platform team, ensuring alignment with company objectives and delivering high impact solutions
Understand the technology in your domain identifying opportunities to improve foundational systems and setting the standard for excellence
Manage, prioritize and thoroughly understand multiple projects, delivering high-quality results on time while balancing competing demands effectively
Design, implement, and enhance systems that power our external metrics, ensuring they are robust, scalable, and efficient
Elevate code quality through rigorous code reviews, comprehensive testing, and promoting best practices across the team
Proactively identify and resolve technical debt, safeguarding the long-term maintainability and scalability of our codebase
Your Expertise
Experience managing and coaching 4+ direct reports for growth and success in a fast paced environment
Proven expertise in coaching and mentoring, inspiring teams to excel and fostering a culture of collaboration, continuous learning, and excellence
Experience with APIs, Java, Python, GraphQL
Familiarity with AWS services and cloud infrastructure
5+ years of industry experience in data engineering/software development, with a proven track record of solving complex challenges and delivering impactful solutions
Track record of designing and maintaining robust, high-uptime systems that consistently exceed expectations for reliability and performance
What We Use
We have access to Python, Snowflake, SQL, DBT for analysis
Our data visualization tool is Looker
Our product backend is Java and Python microservices coupled with Spark, Kinesis, Airflow, Snowflake, and Postgres, all hosted on AWS
Our team supports stakeholders from Client Strategy, Product Management, Sales, Marketing, Finance, Engineering, Designers and the Leadership Team
We believe our company will win in the long run through product innovation and data-driven decision-making
Nice to Haves
Experience working with data (SQL, Analysis, Data Engineering)
Knowledge of databases such as DynamoDB, Postgres, or Redis.
Experience with messaging systems or streaming platforms (e.g., Kafka, Pulsar).
Understanding of frontend development with React and TypeScript.
Experience with DevOps practices and tools such as Docker and Kubernetes.