Engineering Manager, Data Engineering

United States
Engineering /
Full-Time /
Remote
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!

Who we are
BI at Attentive is a centralized team of engineers and analysts responsible for analyzing large datasets, generating valuable insights, and providing data-driven recommendations to support decision-making. 

As an Engineering Manager on the BI Engineering team, you will lead a team of high performing engineers to support the organization’s data warehouse, metrics, and reporting needs. You’ll help build and shape the backbone for analytics needs across the organization. You’ll partner with Analysts, Data & ML Engineers, as well as other internal teams to define and shape self-service analytics and a data-driven organization. You’ll also support the relationship between the BI/Analytics teams and Engineering as we build out a world-class data warehouse for our business and customers.

Why Attentive needs you

    • Build cross functional partnerships with data producers and consumers. Guide and influence peer teams to adopt best practices when and where needed
    • Partner with leaders across the team to understand needs to support strategy planning, new initiatives, and ongoing operations. Own ideation and execution of data-driven solutions
    • Oversee a high performing team to meet BI Engineering needs across the organization. Determine roles and responsibilities. Coach team members to higher levels of performance and execution. Manage high priority, fast moving projects with multiple stakeholders
    • Deliver trusted, timely, cost efficient, & performant datasets & instrumentation answering critical business needs
    • Keep abreast of emerging technologies, best practices, and industry trends in data engineering and software development

About you

    • 7+ years in business intelligence/data engineering roles supporting multiple stakeholders
    • Experience managing and coaching 3+ direct reports for growth and success in a fast paced environment
    • Exceptional written and oral communication skills. Experience building presentations and presenting findings to executive audience. Experience using, writing and optimizing SQL queries in a business environment
    • Strong working knowledge of data engineering best practices & data warehousing concepts.
    • You are an effective people manager, who can manage high-performing teams, and helps them reach their highest potential
    • You have an inherent curiosity and analytic follow-through; you can’t help but ask “why?” and love using data and logic to explore potential solutions

Our scale

    • 8,000 brands powered by Attentive sent over 2.2 billion text messages over Cyber Week 2023 (Black Friday/Cyber Monday) representing a growth of 31% from 2022
    • We sent 32 billion SMS messages in 2023, up 32% YoY. That’s an average of 87 million per day
    • Our production cluster contains over 18,000 containers which serve 200+ services
    • Our streaming services process over 80 billion events per month

Our environment

    • We have access to Python, Snowflake, SQL, DBT
    • 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 Customer Success, 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
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:
- The US base salary range for this full-time position is $163,000 - $260,000 annually + equity + benefits
- Our salary ranges are determined by role, level, and location

#LI-FZ1

Attentive Company Values
Default to Action - Move swiftly and with purpose
Be One Unstoppable Team - Rally as each other’s champions
Champion the Customer - Our success is defined by our customers' success
Act Like an Owner - Take responsibility for Attentive’s success

Learn more about AWAKE, Attentive’s collective of employee resource groups.

If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.

At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.