One of the companies we work with at Joppy is looking for a Forward Deployed Engineer to join the team.

Working arrangement: HYBRID in Madrid (1 day a week in the office).

🚀 "This is an immediate start role."

👋🏼 About us

Our company builds AI agents for B2C sales in the education sector. Our agents run on WhatsApp and voice, qualifying leads, scheduling calls and engaging prospects in real time, turning raw inbound volume into high-intent pipeline.

We're running 100,000+ conversations per month for some of the biggest education groups in Spain, including UNIR, Grupo Planeta, OMNES Education, Ironhack and Wall Street English. We've grown without proper outbound/inbound motions and we just made our first sales hires. In 2025 we raised €1.1M from leading European investors.

We sell to CMOs and CSOs at education companies. Our buyers care about speed to lead, conversion rates and CAC. If you understand customer acquisition funnels, you’ll speak their language. We target mid-market and enterprise clients, with high ACV and low churn.

🚀 Your mission

We are shaping the agentic economy, defining how customers and companies interact. We imagine a world where every customer gets red carpet treatment with personalized, instant service.

We’re in growth mode, looking for early adopters eager to implement AI agents right now. That’s where you come in.

Your mission is to get our AI agents live and performing for every new customer, and to turn what you learn in the field into product. You'll own deployments end to end: from the first technical call with the customer to an agent that moves the metric that matters most to us: lead to booking.

You'll work closely with the CTPO and the founding team and play a key role in shaping how our company deploys and scales.

🧩 The role

This is not a pre-sales role and not a ticket-queue engineering role. It's both halves at once: you sit with admissions, marketing and IT teams to understand how they really turn an enquiry into an enrolment and then you write the code, prompts and evals that make our agents do it better on WhatsApp and on the phone.

You'll be the person who knows each customer's funnel best, and the person who tells the product team which problems we keep solving by hand and should solve once, for everyone.

🗓️ Your first 90 days

First 30 days → learn by shipping. Get to know our product, stack and customers. Ship your first improvements to a live deployment. Get hands-on with our voice agents (STT + LLM + TTS): per-turn latency and cost are tracked on every conversation, and you'll help keep them where they need to be. Join customer calls alongside the team.

By day 60 → own a deployment. Lead at least one customer deployment end to end: discovery, CRM integration (e.g. our native Zoho integration, HubSpot or own customer's CRM), conversation design, evals and go-live, including multichannel outreach where voice and WhatsApp work together. Report its lead to booking impact.

By day 90 → make it repeatable. Own a portfolio of customer deployments. Measurably improve lead to booking on at least one of them (voice is where we see the biggest gap today). Feed what you learn into the agent's self-improvement loop and turn one recurring field learning into a shipped product improvement. Write v1 of the deployment playbook.

🎯 What you’ll do

• 🛠️ Deploy and integrate our agents: take new customers from kickoff to go-live across WhatsApp and voice (STT + LLM + TTS)
• 🔌 Own CRM and data integrations: connect our agents to customers' systems (Zoho, HubSpot, and whatever else they run) so leads, bookings and outcomes flow both ways, reliably
• 🧠 Design prompts, flows and evals: build the conversation logic for each customer, write evals and iterate until quality is measurable, not anecdotal
• 🎙️ Keep voice fast and affordable: watch per-turn latency and cost per conversation, find the bottleneck (speech-to-text, the model, text-to-speech, telephony) and fix it; help us evaluate new approaches such as live speech-to-speech models
• 📈 Measure and improve lead to booking: instrument every deployment, read the conversations, find where leads drop and fix it
• 🤝 Be the technical face for customers: run technical discovery, workshops and reviews with admissions, marketing and IT teams, manage expectations and earn their trust quickly
• 🔁 Turn field learnings into product: spot patterns across customers, write them up, and build or push for reusable features, templates and tooling with the product and engineering team
• 🚀 Lay the groundwork to scale: document the deployment playbook so that the next ten customers go live faster than the last one

💜 Are we a match?

Must-haves:

• 🧑 💻 Engineer with a track record of shipping and running production software, strong in Python and/or TypeScript (preferably)
• 🔗 APIs and integrations: REST, webhooks, auth, data mapping, retries and idempotency. You've connected systems that weren't designed to talk to each other, and kept them working
• 🤖 LLMs in production: you've shipped LLM-powered features or agents to real users and know where they break (prompting, tool calling, evals, monitoring, model changes, cost)
• 🎙️ Customer-facing: you're comfortable in front of a customer, can explain technical trade-offs to non-technical people, manage expectations and say no when needed
• 🧭 Product sense: you care about the outcome and you can tell a one-off request from a product opportunity
• ✍️ Clear writer: your specs, notes and playbooks can be followed without you in the room
• 💪🏼 "Get sh*t done" energy: bias toward action, comfortable with ambiguity
• 🇪🇸🇬🇧 Fluent Spanish and English, spoken and written

Nice-to-haves:

☎️ Voice AI and telephony experience (STT/TTS, SIP, latency tuning), Twilio or similar

💬 WhatsApp Business API or other messaging platforms

🗂️ Hands-on experience with CRMs (Zoho, HubSpot, Salesforce) and sales/admissions funnels

🧪 Experience building eval pipelines or feedback loops that improve agents over time

🎓 Edtech or B2C sales background

🌱 Previous experience at an early-stage startup, as a forward deployed / deployment engineer, or as a founder

📈 How this role grows

You'll be our first FDE, so you'll define what the role is. As we add customers, there are two natural paths, and we'll shape them with you:

Lead forward deployed engineering: hire and lead the next FDEs, own the deployment playbook and how the company goes live with customers

Product engineering: take the patterns you see in the field and own them as product areas (integrations, voice, evals and agent quality)

🌟 Why join now?

🤝 Work hand-in-hand with the founding team

📈 Career growth and opportunity to lead the team in the future

💰 Compensation: €50-60k base + phantom shares

🛠️ Budget and AI-native stack to support you

📍Hybrid, based in Madrid

🚀 Real ownership. Real impact. And yes, a wild ride