Descripción de la oferta
Software Engineer Taizen valladolid, castilla león, Spain
Descripción del trabajo
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 youre next to the founders, the technical team and the roadmap. €40k-€65k + equity. Why take the bet Were early-stage, so the risk is real: timelines move, and equity is worth what the company becomes, not what its valued at today. Heres why we think its worth it. Were two ex-Spotify engineers whove 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 wont find in most pre-seed teams. Theres also a shift worth betting on. Agents can write boilerplate and wire up endpoints faster than any human now. What they cant 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. Thats what were hiring for. After a few years in the job, the thing that sets you apart isnt how fast you type, its your judgment, and thats exactly what this role leans on.
What we do
Competitive intelligence: Monitor competitor activity and calls, then deliver reports, updated battlecards, and rep talk tracks automatically
Deal 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 pipeline
AI roleplay: Let reps practise against voice-based AI buyers grounded in real deals, objections, and battlecard content
AI Win/loss interviews: Interview buyers after a deal and turn the conversations into structured insights without someone scheduling every call
The Stack
Frontend: React
Backend: two services, a Node/TypeScript core and a Python agent service
Retrieval: our own vector store written in Rust, SOTA late-interaction retrieval
Data: Postgres + MongoDB
Agents: our own harness, not an off-the-shelf framework, and model-agnostic ML: a mix of our own and open-source models; Modal for GPU work
Infra: AWS (RDS, EC2, CloudFront, S3, ECR, ECS, ElastiCache, Lambda), MongoDB Atlas, Grafana + Prometheus, GitHub Actions
What youll do
Ship features end-to-end, from customer problem to design, deployment, and iteration - architecture decisions included
Build reliable backend services and workflows behind the agents
Build product surfaces across the web app and Slack
Work on data models and infrastructure that handle very different data types, tuned for fast reads and writes
Own quality: testing, monitoring, observability, and incident response
Keep the delivery pipeline healthy: CI/CD, deployments, and infrastructure hygiene
What were looking for
CS degree, Bachelors or Masters, or equivalent 4+ years shipping production software on a product team where youve owned something.
Side projects are a bonus and can compensate for lack of experience
Strong problem-solving and solid CS fundamentals, which matter to us more than your framework list or years on the clock
Comfortable with TypeScript/React and Python/Node, or quick to pick them up
Some hands‑on time with CI/CD, deployments, and observability, and up for owning more here
High agency and happy working on a small, cross-functional team
Nice to haves
Shipped features with LLM or AI components
Curious about information retrieval or distributed systems - a bonus, not a requirement
Built integrations with third-party APIs
Pick up new tools and languages fast
Why youll like it here
We are growing fast
You get to choose your own machine and peripherals
Almost unlimited token budget
Real architecture ownership you wouldnt 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
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