Plan:it
Forward Deployed Engineer

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About the Company
Want to work as a Deployed Engineer for one of the most technically ambitious AI companies in the world?
The company builds AI software that engineering teams use every day. They're scaling their London team significantly and need people who can operate at the intersection of serious technical depth and genuine commercial ownership.
About the Role
You'll embed directly with enterprise engineering teams, own deployments end to end, run pilots, identify high-impact use cases, and make adoption stick. You'll also feed what you learn back into the product roadmap. This is not pre-sales, not solutions consulting, and not pure engineering.
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.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Expect significant travel, primarily across the UK and Europe.
Responsibilities
- Embed directly with enterprise engineering teams
- Own deployments end to end
- Run pilots
- Identify high-impact use cases
- Make adoption stick
- Feed learnings back into the product roadmap
Qualifications
A degree from a top university in a technical discipline. Computer science or closely related fields are preferred, but academic excellence in any rigorous subject matters.
Required Skills
- Genuine founding or co-founding experience, ideally with fundraising behind it
- Strong engineering foundation
- Comfortable in a codebase, debugging real systems, pulling PRs, and reasoning about technical architecture under pressure
- A track record in forward-deployed engineering
- Clear evidence of commercial ownership, not just client exposure
- Comfort operating in ambiguous, fast-moving environments without much structure
- Active use of AI coding tools day to day


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If your background is purely pre-sales, purely engineering with no customer interest, or entirely at large structured enterprises, this probably isn't the right fit.
Pay range and compensation package
Salary up to £200k + RSUs.
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