Staff Technical Lead – Marketing Studio Intelligence

Job not on LinkedIn

🔥 0 minutes ago

🌐 United Kingdom, Ireland – Remote

🇬🇧 United Kingdom – Remote 🇮🇪 Ireland – Remote

💵 £140.6k - £225k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 0%

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HubSpot

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

🤝 B2B

☁️ SaaS

📣 Marketing

B2B • SaaS • Marketing

HubSpot is an AI-powered customer platform that combines marketing, sales, and customer service software into one integrated suite. With over 238,000 customers in 135 countries, HubSpot offers tools for marketing automation, sales management, customer service, content marketing, operations, and B2B commerce. With products like Marketing Hub, Sales Hub, Service Hub, and Content Hub, HubSpot enables businesses to generate leads, close deals, and provide excellent customer support, all while using AI to enhance operations and insights. The platform is designed to unify teams and customer data, supporting both small startups and large enterprises in their growth journey.

📋 Description

• Lead a small team of 2–3 engineers, setting technical direction and supporting delivery against product and engineering goals • Design, build, and evolve backend services powering campaign integrations, measurement, automation, and intelligent Marketing Studio capabilities • Contribute production-quality Java code and work hands-on on key technical challenges • Lead technical design for integrations among Marketing Studio, campaign systems, marketing assets, CRM data, and platform capabilities • Build scalable systems for campaign performance reporting, attribution, analytics, and intelligent recommendations • Shape backend capabilities for AI-powered experiences using campaign context, CRM data, and engagement history • Break complex initiatives into technical plans and guide architecture, 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 translate customer problems into technical approaches • Drive alignment across engineering teams spanning shared services, campaign infrastructure, data systems, integrations, and Studio platform capabilities

🎯 Requirements

• Significant experience designing, building, and operating backend software systems in production environments • Strong Java development skills • Experience with Kafka, MySQL, or comparable backend technologies • Experience technically leading a small engineering team while remaining an active codebase contributor • Experience coaching and mentoring engineers • 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 backend orchestration, services, APIs, and feedback loops connecting AI or ML models to customer actions and outcomes • Experience working with complex, high-volume data • Experience defining evaluation, monitoring, and learning mechanisms for AI-generated recommendations or insights • Ability to partner with ML and data science teams to integrate and productionize models • Strong product judgment and customer empathy • Ability to communicate complex AI concepts clearly and influence Product, Engineering, UX, Design, and business stakeholders • Direct marketing or recommendation-system experience is not required • Python or another transferable backend language experience is nice to have

🏖️ Benefits

• Remote, Flex, or Office work options • In-person onboarding at a regional HubSpot office for Engineering employees • In-person Product Group Summit and other gatherings for broader Product team employees • Disability accommodations and assistance • Alternative travel arrangements for candidates requiring accommodations • Employee connections with team and peers • Award-winning company culture • AI-assisted screening with human hiring decisions • CLEAR ID Verification to support a safe, secure, and trusted hiring process