At a Glance
- Tasks: Lead and scale a high-performing Product Engineering function in AI and data.
- Company: Join a high-growth AI SaaS company transforming customer data into actionable insights.
- Benefits: Competitive salary up to £150,000 plus benefits.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Shape the future of product engineering and make a real impact in a growing company.
- Qualifications: Experience in leading technical teams and understanding modern data ecosystems.
The predicted salary is between 150000 - 150000 £ per year.
Job Description
- Director of Product Engineering
- Up to £150,000 + benefits
London This is a fantastic opportunity to join a high-growth AI Saa S company where you can take ownership of building and scaling a Product Engineering function that combines Data Science, Data Engineering, Platform Engineering and Application Development.
THE COMPANY: Founded to help enterprises unlock the value of their first-party customer data, our client helps transform customer, behavioural and commercial data into actionable business intelligence.
They are entering an exciting phase of growth as it evolves from project-led delivery to a scalable, repeatable product engineering model.
This role will be central to shaping that transformation.
THE ROLE
You will take ownership of the technical engineering capability, leading teams across Data Science, Data Engineering, Platform Engineering and Application Development while creating a scalable and repeatable delivery model.
Key responsibilities include
- Building and scaling a high-performing Product Engineering function across multiple technical disciplines.
- Leading technical architecture, solution design and engineering decisions for customer-facing AI and data products.
- Acting as a senior technical representative with enterprise clients and translating complex technical concepts into commercial outcomes.
YOUR SKILLS AND EXPERIENCE: You will bring strong capability in
- Leading and scaling technical functions within consulting, Saa S or service-based environments.
- Managing multidisciplinary teams across Data Engineering, Data Science and Software Engineering.
- Remaining technically credible with strong understanding of modern data ecosystems, architecture and engineering best practices.
THE BENEFITS: You will receive a salary up to £150,000 depending on experience.
HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Director of Product Engineering in London employer: Harnham - Data & Analytics Recruitment
Join a forward-thinking SaaS organisation in London, where you'll not only lead the Data Engineering function but also play a pivotal role in shaping the future of AI and data solutions. With a strong emphasis on innovation, employee development, and a collaborative work culture, this company offers clear progression opportunities and the chance to work on impactful projects that drive commercial success. Enjoy a supportive environment that values your expertise while you tackle exciting technical challenges and contribute to the growth of a rapidly expanding business.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Director of Product Engineering in London
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We think you need these skills to ace Director of Product Engineering 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 Harnham - Data & Analytics Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harnham - Data & Analytics Recruitment 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 Harnham - Data & Analytics Recruitment
✨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 Harnham - Data & Analytics Recruitment 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.
