• Lead and develop a team of platform engineers delivering managed Kubernetes across multiple cloud providers. • Own the platform engineering delivery roadmap with sequencing and cross-team coordination. • Drive foundational infrastructure programs including private networking and managed Kubernetes. • Manage customer support commitments and internal platform investment. • Translate technical decisions into executable plans for engineers. • Build operational foundations for reliability and business continuity. • Represent the Platform team’s work to senior leadership and cross-functional stakeholders.

Role Description Attentive’s streaming platform is the backbone of our real-time messaging and personalization ecosystem, powering billions of events and processing millions of messages per second. It enables teams across the company to build responsive, data-driven products at massive scale. We’re looking for an Engineering Manager to lead the Streaming Platform team, responsible for evolving and operating the core infrastructure that powers event ingestion, processing, and delivery across Attentive. In this role, you will combine strong technical leadership with people management to drive the next generation of our streaming architecture balancing reliability, scalability, and developer productivity. You’ll work at the intersection of infrastructure, data, and product engineering, partnering closely with teams across the organization to ensure our streaming platform unlocks innovation in personalization, experimentation, and growth. This is a high-impact role for a leader who thrives on scaling distributed systems and building high-performing teams in a fast-moving environment. What You’ll Accomplish - Technical & Platform Leadership - Define and drive the technical vision and roadmap for Attentive’s streaming platform (Kafka, Pulsar, Flink, etc.), aligning with company-wide goals. - Evolve the streaming platform to support AI/agent-driven workloads, including real-time feature pipelines, low-latency inference, event replay, and closed-loop feedback systems for continuous learning and decisioning. - Partner with ML and data teams to define standards and primitives (data contracts, observability, consistency) that enable reliable integration between streaming systems and AI agents while maintaining scalability, debuggability, and platform simplicity. - Oversee the design and evolution of high-throughput, low-latency, and cost-efficient streaming systems that power mission-critical use cases. - Team Leadership & Execution - Build, mentor, and lead a high-performing team of engineers, fostering a culture of ownership, collaboration, and continuous improvement. - Balance hands-on technical involvement with people leadership, providing guidance on architecture, design, and execution. - Drive effective planning, prioritization, and delivery across multiple initiatives while maintaining high standards for quality and reliability. - Developer Experience & Platform Adoption - Champion improvements to the streaming developer experience, including tooling for observability, debugging, testing, and configuration. - Enable product and data teams to move faster by building self-service capabilities and paved paths, while supporting advanced use cases for power users. - Promote best practices in event design, schema management, and system usage across the organization. - Cross-Functional Collaboration - Partner with product, data, infrastructure, and ML teams to deliver scalable, real-time solutions for customer-facing features. - Act as a bridge between platform and application teams, ensuring alignment on priorities, tradeoffs, and system capabilities. - Influence broader engineering strategy around real-time systems, data infrastructure, and platform architecture. - Operational Excellence - Ensure high standards for reliability, observability, and incident response across the streaming ecosystem. - Drive improvements in system performance, cost efficiency, and scalability. - Establish and maintain best practices for monitoring, alerting, and debugging distributed systems at scale. Qualifications - 9+ years of experience in software engineering, with 2+ years in engineering management or technical leadership roles. - Strong background in distributed systems and high-throughput data infrastructure, particularly event streaming or messaging systems. - Experience with technologies such as Kafka, Pulsar, Flink, Spark, or Kinesis, and a deep understanding of their tradeoffs and operating models. - Proven ability to lead complex platform or infrastructure initiatives spanning multiple teams. - Solid backend engineering skills (preferably Java/Spring Boot) with the ability to engage in technical design and code reviews. - Experience building and operating systems with a focus on scalability, reliability, and debuggability. - Familiarity with cloud-native infrastructure (AWS, Kubernetes/EKS) and infrastructure-as-code (Terraform, Helm). - Strong understanding of observability practices (metrics, tracing, logging) in distributed systems. - Demonstrated ability to hire, mentor, and grow engineers, and foster an inclusive, high-performance culture. - Excellent communication skills, with the ability to clearly articulate technical tradeoffs and influence stakeholders. Benefits - Competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. Company Description Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture.

Role Description Lead engineering teams and ensure delivery of enterprise applications across multiple workstreams. Program Context: - Large-scale migration and transformation program - Multi-platform ecosystem with complex integrations - Phased, wave-based delivery model Key Responsibilities: - Manage engineering teams across multiple tracks - Drive delivery planning, execution, and quality - Coordinate with architects, PMs, and business stakeholders - Manage risks, dependencies, and timelines - Ensure scalability and consistency in delivery Qualifications - 12–15+ years experience - Strong experience in enterprise delivery and transformation programs - Exposure to multi-platform environments - Strong leadership and stakeholder management skills - Ability to manage complexity and ambiguity - Willingness to work in flexible shifts Requirements - Strong understanding of enterprise tech stacks - Experience managing development across multiple platforms Benefits - Drive AI adoption in development lifecycle - Improve delivery efficiency using automation and AI

• Partner closely with our Product, Product Marketing, and Commercial teams to prioritize a research and implementation roadmap to maximize the value of our Encounters data product to customer use cases • Develop a technical vision and roadmap with the engineering team to accelerate the delivery of valuable customer use cases • Contribute meaningfully to the growth of each engineer individually and to the team’s overall operating capability • Be a strong voice for technical excellence, a passionate advocate for thoughtful, customer-oriented software design, and a mentor and coach who inspires engineers to grow • Drive initiatives across our engineering team to build and reinforce our culture of expansive ownership, individual autonomy, and constant learning through curiosity • Facilitate collaboration with other teams to deliver the best solution for the customer regardless of internal lines of ownership • Take a leadership role throughout the engineering organization, including in our hiring and onboarding processes