Staff Technical Lead – Marketing Studio Intelligence

Overview

In this Staff Technical Lead role, you guide a small engineering team while staying hands-on to shape AI-enabled backend systems for Marketing Studio Intelligence. You’ll partner with Product and UX to deliver scalable, reliable services that integrate campaign data, assets, and CRM information. You help translate customer problems into robust technical solutions and drive architectural decisions across platform capabilities. This role combines technical leadership with practical coding, delivering impactful AI-powered experiences at scale. You’ll join a customer-focused team building the next generation of marketing intelligence.

Responsibilities

• Lead a 2-person engineering team, setting direction and aligning with product and engineering goals
• Design and evolve backend services powering campaign integrations, measurement, automation, and AI features
• Contribute production-grade Java code and tackle key technical challenges
• Architect integrations across Marketing Studio, HubSpot campaigns, assets, CRM data, and platform capabilities
• Build scalable systems for campaign performance reporting, attribution, analytics, and recommendations
• Shape backend capabilities for AI-powered experiences using campaign context and engagement history
• Decompose complex initiatives into actionable technical plans and manage delivery risks
• Coach engineers through design reviews, code reviews, and technical guidance
• Collaborate with Product and UX to translate customer problems into practical tech approaches
• Drive cross-team alignment for shared services, campaign infra, data systems, and Studio platform capabilities

Key requirements

• Extensive experience designing, building, and operating production backend systems
• Strong Java development and experience with Kafka and MySQL (or comparable tech)
• Experience leading a small engineering team while contributing to codebase
• Mentoring and coaching engineers to grow technical skills and ownership
• Solid understanding of system design, scalability, reliability, performance, fault tolerance, testing, and observability
• Experience delivering AI-powered products, agentic workflows, decisioning, personalization, or next-best-action experiences
• Experience building backend orchestration, services, APIs, and feedback loops connecting AI/ML to customer actions
• Experience with high-volume data and ensuring AI outputs are explainable, trustworthy, and useful
• Ability to work with ML and data science teams to productionize models without owning core ML infrastructure
• Strong product judgment and customer empathy; ability to communicate AI concepts clearly to stakeholders

• excellent communication
• customer empathy
• visionary yet pragmatic
• Java
• Kafka
• MySQL

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