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Technical Lead - Marketing Studio Intelligence

Job in Cardiff, Cardiff City Area, CF10, Wales, UK
Listing for: Jackalope Digital LLC
Full Time position
Listed on 2026-09-09
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Position: Staff Technical Lead - Marketing Studio Intelligence

POS-11333

Staff Technical Lead
- Marketing Studio Intelligence Location: UK - Remote, Flex, or Office

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.

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, 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.
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, 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 product ionize models, without necessarily owning model training or core ML infrastructure.
  • Strong product judgment and customer empathy, with the ability to identify which insights will create genuine value and how they should be presented to customers.
  • Ability to communicate complex AI concepts clearly and influence Product, Engineering, UX, Design, and business stakeholders.

Nice to Have Qualifications

  • Direct experience with…
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