Harnham
Director of Product Engineering

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Director of Product Engineering
Up to £150,000 + benefits
London
This is a fantastic opportunity to join a high-growth AI SaaS 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, behavioral, 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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Your Skills and Experience:
You will bring strong capability in:
- Leading and scaling technical functions within consulting, SaaS, or service-based environments.
- Managing multidisciplinary teams across Data Engineering, Data Science, and Software Engineering.
- Remaining technically credible with a 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.
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