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Murphy AI

Forward Deployed Engineer - Portuguese Native

London
€35k – €75k/yr
Posted about 15 hours ago
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About the Role

Murphy is building the AI platform that powers debt collection for some of the world's leading banks, telcos, and utilities.

We're looking for a Forward Deployed Engineer based in Barcelona who will play a key role in building and deploying Murphy in Brazil.

You'll sit within our Barcelona team, working closely with Product, Engineering, Deployment, and Revenue, while spending significant time working directly with our customers and prospects in Brazil. This means regular travel to Brazil to run discovery sessions, support deployments, solve complex customer problems, and build strong relationships with the teams using Murphy.

You'll operate at the intersection of engineering, product, and customer success. You'll understand how a customer's business works, translate complex requirements into technical solutions, build and configure those solutions, and make sure Murphy delivers measurable value in production.

This is a highly autonomous role. You'll be expected to get close to the customer, figure out what needs to be done, and make it happen.

Responsibilities

  • Deliver technically robust client configurations
  • Ensure every deployment is technically correct, properly scoped, and aligned with agreed requirements before going live.
  • Own configuration quality end-to-end — no silent workarounds, no fragile setups.
  • Optimize agent performance through structured iteration
    • Continuously analyze performance metrics and improve voice agent and communication flows.
    • Use data to identify patterns, diagnose issues, and implement measurable improvements.
  • Act as the technical counterpart to clients
    • Participate in client meetings as the product and systems expert.
    • Clearly explain architecture, constraints, trade-offs, and product capabilities.
    • Set expectations without overpromising.
  • Provide structured product feedback
    • Identify when challenges stem from configuration vs. product gaps.
    • Raise structured product requests with clear context, impact, and proposed direction.
    • Collaborate with Product and Engineering to improve the platform.
  • Design scalable, reusable solutions
    • Ensure configurations are maintainable and scalable across clients.
    • Avoid one-off solutions that create downstream technical debt.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

See breakdown
Strong

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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Strong

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.

Requirements

  • Native Portuguese speaker with fluent English.
  • Based in Barcelona and comfortable with international travel, particularly to Brazil.
  • Background in Data Science or Data Analysis.
  • Strong technical foundations and the ability to write and understand production-quality code.
  • Comfortable working directly with customers and translating business requirements into technical solutions.
  • Deep product and systems understanding: Ability to reason end-to-end about data flows, architecture, dependencies, and system behavior. You think structurally, not reactively.
  • Analytical and performance-driven thinking: Comfortable working with KPIs, performance metrics, and iteration cycles. Uses data to guide improvements, not intuition alone.
  • Extreme ownership of configuration quality: Holds a high bar for technical correctness and long-term maintainability. Takes responsibility for outcomes, not just tasks.

What we offer

  • Salary: €35.000–€75.000+ gross/year from entry to senior levels
    • We aim to pay fairly and competitively based on skills, experience, and impact. For exceptional candidates, we’re open to discussing compensation outside of this range.
  • Stock options: Because we all build Murphy together – you'll own a piece of what we’re creating.
  • Impact: Be part of our startup journey from day one, playing a key role in our growth and building something meaningful from the ground up.
  • Learning: Continuous development through trainings, knowledge-sharing, and exposure to other top-tier startups in our ecosystem.
  • Healthy meals: No more boring tupperware – enjoy daily meals with Nora Foods & Kombo. We cover 50% of each order!
  • Cobee card: Flexible compensation for transport and restaurants, so you can make the most of your net salary.
  • Ride into work: Forget traffic jams – hop on your Panot e-bike and cruise to the office! We cover 50% of your subscription.
  • Hybrid & Flexible: Our default setup is hybrid – 3 days a week at our office in Poblenou, surrounded by a thriving tech scene, and 2 days of remote work. But if there’s one thing that defines us, it’s flexibility: we trust you to organize your time and space in the way that helps you do your best work.

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Our Process

We believe that hiring is a two-way street: while we get to know you, you also deserve the chance to understand who we are, how we work, and what makes Murphy AI special. Here’s what you can expect:

  1. First Interview – Getting to Know You

    • A conversation with a future teammate who’s excited to find a new colleague. We’ll talk about your story, what drives you, and what you’re looking for next—no trick questions, just a genuine exchange.
  2. Second Interview – Deep Dive

    • You’ll meet the Hiring Manager and potentially another team member. This is a more technical discussion where we explore your skills in detail, walk through real scenarios, and answer any questions you might have about the role.
  3. Tech Assessment or Business Case

    • A practical exercise to see how you approach challenges similar to those you’d tackle at Murphy. You’ll have time to reflect and showcase your thinking—no rush, no surprises.
  4. Coffee at the Office with the Founders

    • Finally, you’ll join us in our Barcelona office for a relaxed coffee with the founders and the Hiring Manager. It’s the perfect opportunity to experience our culture firsthand and meet more of the team who could soon be your colleagues.

👉 To learn more about how we hire and what to expect at every step, feel free to explore our Hiring Guide!

👉 We are committed to building a diverse, inclusive, and equitable workplace where everyone, regardless of background, identity, or experience, feels valued and empowered to thrive. We believe that different perspectives drive innovation and success, and we actively foster an environment where all voices are heard and respected.

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Skills

Data science
Data analysis
Production-quality code
Technical configuration
Performance metrics
Customer success
System architecture
Fintech
Artificial intelligence
Automation
Problem solving
Stakeholder management
Technical communication
KPI analysis
Product feedback

Location

Carrer de Pamplona, 96, 104, Sant Martí, 08018 Barcelona, Spain

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