Staff Technical Lead - Marketing Studio Intelligence

HubSpot · Remote - Ireland

  • Senior
  • Full-time
  • Posted 2026-09-04
  • Confirmed live on 25 September 2026

Apply at HubSpot

Job description

POS-11333

Staff Technical Lead - Marketing Studio Intelligence

Location: Ireland - 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, 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 productionize 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 recommendation systems, decisioning, personalization, ranking, experimentation, or next-best-action products.

• Experience integrating CRM, marketing, campaign, advertising, or customer data across multiple systems.

• Experience in marketing technology or other domains where products help customers make data-informed decisions.

• Experience with Python or another transferable backend language in addition to, or instead of, Java. Check out our engineering blog to learn more.

Direct marketing or recommendation-system experience is a plus, but not required. We also welcome candidates with transferable experience building customer-facing AI products in areas such as customer support, prospecting, content, adverti

Interview problems reported for HubSpot

Reported by candidates and public write-ups, not by HubSpot. Practise each one here:

More at HubSpot

All open software jobs