Engineering Manager, Streaming

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Event Streaming: Apache Kafka, Pulsar, Flink
• Cloud Infrastructure: AWS (EKS/Kubernetes), Terraform, Helm, Istio, CloudFlare
• Backend: Java, Spring Boot, Gradle, DynamoDB, Postgres, Redis
• Observability: Datadog, distributed tracing, custom tooling
• Data & Automation: Python, Airflow, and integrations with ML/analytics systems
• Frontend (for tooling): React, TypeScript, GraphQL

• Own and shape the core real-time platform that powers Attentive’s entire product ecosystem
• Lead a team working on systems at massive scale (billions of events, millions/sec throughput)
• Influence company-wide architecture and unlock new capabilities in personalization and experimentation
• Grow as a leader while staying close to deep technical challenges in distributed systems

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

• The US base salary range for this full-time position is $210,000 - $265,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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