At a Glance
- Tasks: Lead a small team to design and build AI-powered marketing solutions.
- Company: Join HubSpot, a leading AI-powered customer platform with a vibrant culture.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values innovation and collaboration.
- Why this job: Make a real impact by shaping the future of marketing technology.
- Qualifications: Experience in backend software development and team leadership is essential.
The predicted salary is between 66150 - 80850 £ per year.
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, 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.
- 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, advertising, or other decision-support domains.
We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply — we'd love to hear from you.
If you need accommodations or assistance due to a disability, please reach out to us using this form.
At HubSpot, we value both flexibility and connection. Whether you're a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you'll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.
If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements.
About HubSpot
HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.
We're building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.
Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.
Staff Technical Lead - Marketing Studio Intelligence in London employer: HubSpot
At HubSpot, we pride ourselves on being an exceptional employer, offering a dynamic work culture that values flexibility and connection, whether you choose to work remotely or from the office. As a Staff Technical Lead, you'll not only lead a talented team but also have ample opportunities for personal and professional growth, all while contributing to innovative AI-powered solutions that drive real customer value. Our commitment to employee development, coupled with our award-winning culture, makes HubSpot a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Technical Lead - Marketing Studio Intelligence in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Staff Technical Lead - Marketing Studio Intelligence in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at HubSpot.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at HubSpot and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at HubSpot
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If HubSpot uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.