Engineering Manager, User Profile - Attentive

Job Title: Engineering Manager, User Profile
Job Location: United States
Job Listing URL: https://jobs.lever.co/attentive/0e8f19bc-28d8-4de0-8bd5-f5e58369b5c4
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 Attentive Team
Have you ever received text message marketing from your favorite brand with an incredible offer? Did you know that effective text message marketing is by far the highest ROI marketing channel? And did you know that customers are increasingly preferring to interact with brands through text? That is what we do at Attentive. We help the world’s largest brands interact with their clients at the right time and with the right message. Our platform powers more than 400 million messages per day, approaching 100 billion per year.

We’re building big things! Check out our tech blog here: https://tech.attentive.com/

About the Role
Our Engineering team creates innovative product experiences that power personalized marketing at massive scale. We develop cutting-edge applications and systems that process 100s of billions of messages and events per year, enabling marketers to connect effectively with hundreds of millions of consumers. Joining our team offers a high growth career opportunity to work with some of the world’s most talented engineers in a high-performance and high-impact culture.

We’re seeking an Engineering Manager to lead our User Profile team. You’ll be at the helm of building and optimizing a cutting-edge platform that supports data-driven products and drives strategic outcomes for our customers.

This team is building a comprehensive, unified view of our clients’ customers. The team is responsible for identifying, collecting, and integrating user data from on-site and third party sources to create a unified, actionable profile of each customer. Attentive uses this data to personalize content onsite and in messaging. By delivering more relevant content, Attentive is able to drive higher performance for our clients and better experiences for their customers. As the Engineering Manager, you will play a pivotal role in defining the vision, strategy, and execution for this team, ensuring it can effectively meet current and future needs.

In this role, you'll collaborate closely with Machine Learning, Product Management, and Engineering leadership to ensure the User Profile meets the needs of these teams and our clients. This hands-on role requires a balance of people management, technical direction, and cross-functional leadership, making it ideal for a leader who excels in driving innovation and execution.
What You'll Accomplish
Lead the technical vision for the User Profile team, aligning with company goals and driving strategic outcomes through innovative data solutions
Oversee the design and implementation of high-throughput data solutions, ensuring that they are scalable, efficient, and capable of powering critical operations
Partner with teams across AI, ML, analytics, and other departments to enhance and expand our platform, ensuring it meets the evolving needs of the organization
Establish and uphold high standards for data quality, governance, and system integration; addressing complex distributed data challenges with robust solutions
Recruit, mentor, and develop a high-performing engineering team, fostering a culture of continuous learning, experimentation, and collaboration
Balance and prioritize multiple projects, ensuring timely delivery and alignment with business objectives while maintaining high standards of technical excellence
Champion the technical design, development, implementation and support of web stack and big data applications including extending its capabilities applications using existing and emerging technology platforms
Your Expertise
You have 5+ years of industry experience developing software, with a proven track record of solving complex big data challenges and delivering impactful solutions
You are knowledgeable about data modeling, data access, and data storage, and have experience building high-scale, low latency applications
You are an outstanding coach and mentor, with a talent for developing high-performing teams and nurturing a culture of continuous improvement and collaboration
You have a strong commitment to software quality, with a history of building reliable, high-uptime systems that meet and exceed performance expectations
You excel at translating business needs into well-defined projects, taking a hands-on approach to solution design, implementation, and execution
You are passionate about emerging technologies and have the ability to evaluate and choose the right tools and technologies to drive innovation while balancing practical considerations
You thrive in a collaborative environment, working effectively with cross-functional teams to align technical solutions with business goals and ensure cohesive execution
What We Use
Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS
Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas