Software Engineer

Taizenai — Spain · Posted ~2 days ago

Onsite €40000-€65000 + equity

Skills

Software engineering AI agent development API integrations Backend development AI Agents APIs Salesforce HubSpot Slack Gong

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Summary ✨ AI‑Generated

Help build an AI execution layer where autonomous agents perform recurring go-to-market workflows rather than simply answering questions. You will develop software and integrations that connect AI agents with business systems, work closely with a small technical team, and ship rapidly in a production environment. The role offers a salary of €40k–€65k plus equity and requires working in person most of the week.

Highlights

Competitive salary with equity, hands-on work at an early-stage company, close collaboration with technical leadership, rapid product development, and experience building production-grade AI systems.

Description

Join us as a Software Engineer to build the AI execution layer where go-to-market agents do the work, not just answer questions. Taizen builds purpose-built AI agents for Product Marketing, Sales Enablement, and Revenue teams. Our AI agents connect to tools like Gong, Salesforce, HubSpot, and Slack, then proactively run recurring workflows without waiting to be prompted. 📍 Barcelona, in-person at least 4 days/week. At our size, being in the room means you're next to the founders, the technical team and the roadmap. 💰 €40k–€65k + equity. Why take the bet We're early-stage, so the risk is real: timelines move, and equity is worth what the company becomes, not what it's valued at today. Here's why we think it's worth it. We're two ex-Spotify engineers who've shipped and scaled software used by millions, funded, and building with real customers every week. We move fast and we break things, but we also run SOC2 and ISO 27001-compliant infrastructure, a combination you won't find in most pre-seed teams. There's also a shift worth betting on. Agents can write boilerplate and wire up endpoints faster than any human now. What they can't do is untangle a vague problem, design a data model that holds up under real usage, or debug something failing in a way nobody expected. That's what we're hiring for. After a few years in the job, the thing that sets you apart isn't how fast you type, it's your judgment, and that's exactly what this role leans on. What we do Go-to-market teams are drowning in signals they can't act on fast enough. Competitor moves, deal objections, buyer feedback, and coaching gaps are trapped across call recordings, CRM notes, documents, and Slack threads. We're building agents that do the operational work: Competitive intelligence: Monitor competitor activity and calls, then deliver reports, updated battlecards, and rep talk tracks automaticallyDeal and account intelligence: Show sales leaders where deals are advancing or stalling, while helping BDRs research territories and identify the right accounts to bring into pipelineAI roleplay: Let reps practise against voice-based AI buyers grounded in real deals, objections, and battlecard contentAI Win/loss interviews: Interview buyers after a deal and turn the conversations into structured insights without someone scheduling every call The Stack You won't just work inside this stack, you'll help decide where it goes. How our retrieval layer evolves as we grow past our first customers is still an open question you'd have a say in. Frontend: ReactBackend: two services, a Node/TypeScript core and a Python agent serviceRetrieval: our own vector store written in Rust, SOTA late-interaction retrievalData: Postgres + MongoDBAgents: our own harness, not an off-the-shelf framework, and model-agnosticML: a mix of our own and open-source models; Modal for GPU workInfra: AWS (RDS, EC2, CloudFront, S3, ECR, ECS, ElastiCache, Lambda), MongoDB Atlas, Grafana + Prometheus, GitHub Actions What you'll do Ship features end-to-end, from customer problem to design, deployment, and iteration — architecture decisions includedBuild reliable backend services and workflows behind the agentsBuild product surfaces across the web app and SlackWork on data models and infrastructure that handle very different data types, tuned for fast reads and writesOwn quality: testing, monitoring, observability, and incident responseKeep the delivery pipeline healthy: CI/CD, deployments, and infrastructure hygiene What we're looking for CS degree, Bachelor's or Master's, or equivalent4+ years shipping production software on a product team where you've owned something. Side projects are a bonus and can compensate for lack of experienceStrong problem-solving and solid CS fundamentals, which matter to us more than your framework list or years on the clockComfortable with TypeScript/React and Python/Node, or quick to pick them upSome hands-on time with CI/CD, deployments, and observability, and up for owning more hereHigh agency and happy working on a small, cross-functional team Nice to haves Shipped features with LLM or AI componentsCurious about information retrieval or distributed systems — a bonus, not a requirementBuilt integrations with third-party APIsPick up new tools and languages fast Why you'll like it here 🚀 We are growing fast💻 You get to choose your own machine and peripherals💰 Almost unlimited token budget🏗️ Real architecture ownership you wouldn't touch for years at a bigger company🤖 A new kind of product: AI-native and agent-powered, not a chatbot wrapper🥳 We work hard and celebrate the wins, small and big🎉 Offsites a few times a year to work and play together