Alguna
Forward Deployed Engineer (FDE)

How your CV stacks up
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You’re customer-obsessed
You want to live close to real users and real problems. You get energy from turning “this is painful” into “this is fixed.”
You’re a builder who ships
You don’t just advise or prototype. You deliver working solutions that run in production.
You thrive in ambiguity
Early-stage means unclear requirements, moving targets, and learning as we go. You can still make progress fast.
You’re relentlessly pragmatic
You’ll make smart tradeoffs to get value out quickly, then iterate once we know what matters.
You’re technical and versatile
You can jump across codebases, APIs, data, infra, and integrations. Whatever the bottleneck is, you go there.
You communicate clearly
You can translate between customer context and engineering reality without losing nuance (or patience).
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.
You’re efficiency-obsessed
You automate repetitive work, reduce manual steps, and shorten time-to-value for customers.
You use AI as leverage
You use AI tools to speed up debugging, integration work, scripting, docs, and iteration—while owning correctness and security.
What the job involves
- Work directly with customers: Understand their workflows, constraints, and goals. Help them succeed with Alguna, fast.
- Build forward-deployed solutions: Ship integrations, custom workflows, data pipelines, and product extensions that unlock customer value.
- Close the loop back into the product: Turn repeated customer needs into scalable product improvements and reusable patterns.
- Be reactive (in a good way): When something breaks or a customer is blocked, you jump in, triage, fix, and communicate clearly.
- Own implementations end-to-end (the fun kind): From “wait, what do you actually need?” → design → build → deploy → monitor → iterate. If it’s flaky at 2am, you’ll care.
- Create paved paths: Build templates, tooling, docs, and automation so the next customer goes live faster than the last.
- Partner cross-functionally: Work tightly with engineering, product, and customer success to prioritize, scope, and ship.


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What success looks like
- Customers get to value quickly and stick around because things just work
- Repeated customer work turns into reusable, scalable product capabilities
- The team gets faster over time because you remove friction and build “paved roads”
- You reliably take messy real-world problems and turn them into shipped outcomes
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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