Technical Lead - Marketing Studio Intelligence

POS-11333

Our mission at Hub Spot is to help millions of organizations grow better.
Marketing Studio Intelligence is building the intelligence layer behind Hub Spot’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.

• 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, Hub Spot 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.

• 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, monitoring, and learning mechanisms to assess the quality and impact of AI-generated recommendations or insights.
• Ability to partner effectively with ML and data science teams to integrate and…