Staff Technical Lead - Marketing Studio Intelligence

hubspotjobslead

In short

▸Liderazgo técnico de 2-3 ingenieros en un equipo de IA para marketing, con fuerte enfoque en diseño de sistemas backend escalables.
▸Desarrollo hands-on en Java, Kafka, MySQL y servicios de IA que integran datos del CRM, campañas y comportamiento del cliente.
▸Destacado: Impulsar experiencias de IA confiables y explicables que generen recomendaciones reales para marketers.

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What they ask for

✓Experiencia probada en diseño e implementación de sistemas backend en producción.
✓Habilidades sólidas en Java y desarrollo de servicios backend de alto rendimiento.
✓Experiencia en liderar técnico un equipo pequeño mientras contribuye activamente al código.
✓Capacidad para construir y hacer evolucionar sistemas escalables con alta disponibilidad.
✓Conocimiento avanzado en arquitectura de sistemas: escalabilidad, fiabilidad, rendimiento y observabilidad.
✓Experiencia en desarrollo de productos con IA: agentic workflows, recomendaciones, decisioning, personalización.

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JavaKafkaMySQLBackend ServicesAPIsAI ModelsML ModelsData SystemsCRM DataCampaign Systems

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POS-11333 Staff Technical Lead - Marketing Studio Intelligence Location: UK - Remote, Flex, or Office Our mission at HubSpot is to help millions of organizations grow better. Marketing Studio Intelligence is building the intelligence layer behind HubSpot’s next-generation marketing platform. We bring together campaign performance, marketing assets, CRM data, and AI to help marketers understand what’s working, uncover opportunities, and discover what to do next. This is a deeply customer-focused space, where we work closely with marketers to understand real problems and turn rapidly evolving AI capabilities into simple, trustworthy experiences that deliver meaningful value. As a Staff Technical Lead, you’ll lead a small team of 2 - 3 engineers while staying deeply hands-on. You’ll partner closely with Product and UX to shape and build AI systems at scale, tackling ambitious problems across agentic systems, intelligent decisioning, AI quality, and evaluation. What You’ll Do • Lead a small team of 2 engineers, setting technical direction and helping the team deliver against shared product and engineering goals. • Design, build, and evolve backend services that power campaign integrations, measurement, automation, and intelligent capabilities across Marketing Studio. • Stay hands on with development, contributing production quality Java code and working directly on the team’s most important technical challenges. • Lead technical design for integrations between Marketing Studio, HubSpot campaign systems, marketing assets, CRM data, and other platform capabilities. • Build scalable systems that support campaign performance reporting, attribution, analytics, and intelligent recommendations. • Help shape backend capabilities for AI powered experiences that use campaign context, CRM data, and engagement history to generate insights and recommendations. • Break complex initiatives into clear technical plans and help engineers navigate architecture decisions, dependencies, tradeoffs, and delivery risks. • Coach and mentor engineers through design reviews, code reviews, feedback, and day to day technical guidance. • Partner with Product and UX to shape priorities and translate customer problems into technical approaches that balance speed, quality, and long term system health. • Drive alignment across engineering teams when work spans shared services, campaign infrastructure, data systems, integrations, or Studio platform capabilities. What You’ll Bring • Significant experience designing, building, and operating backend software systems in production environments. • Strong Java development skills and experience building production grade backend services, as well as Kafka, MySQL or comparable backend technologies. • Experience technically leading a small engineering team while remaining an active contributor to the codebase. • Experience coaching and mentoring engineers and helping others grow their technical skills and ownership. • Strong understanding of system design, scalability, reliability, performance, fault tolerance, testing, and observability. • Experience designing and delivering AI-powered products, agentic workflows, AI agents, recommendation systems, decisioning systems, personalization, or next-best-action experiences. • Experience building the backend orchestration, services, APIs, and feedback loops that connect AI or ML models to real customer actions and outcomes. • Experience working with complex, high-volume data and ensuring AI outputs are relevant, explainable, trustworthy, and useful to customers. • Experience defining evaluation, mo

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