Crossing Hurdles
Principal Software Engineer

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Crossing Hurdles Recruitment Opportunity
Crossing Hurdles is a global recruitment consultancy assisting one of Europe’s leading software investors’ AI product incubators in hiring a Principal Software Engineer to build and scale real-world AI products used by thousands of customers worldwide.
This team operates like a serial startup engine — launching revenue-generating AI products inside established B2B businesses, combining startup ownership with enterprise scale.
Required Experience
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.
- 10–15 years full-stack engineering experience
- Built customer-facing products from 0→1
- Startup / founding-team or early-stage environment experience
- Experience building B2B SaaS applications
- Hands-on AI/ML product experience (LLMs, agentic systems)
- Bachelor’s or Master’s in Computer Science or related field
- Comfortable working with C-suite stakeholders
- Proven ability to mentor and lead engineers
What You’ll Do
- Lead engineering across multiple AI products from concept → production → scale
- Remain hands-on in architecture and coding for critical systems
- Build and mentor high-performance engineering teams
- Drive real-world AI adoption across industries
- Partner with executives and product leaders as a technical co-leader
- Own technical decisions impacting large customer bases from day one


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Why You Should Consider
- Build real AI products at scale
- Serial founder-like experience
- High ownership technical leadership
- Elite ecosystem exposure
“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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