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

Go-to-market teams are drowning in signals they cant act on fast enough. Competitor moves, deal objections, buyer feedback, and coaching gaps are trapped across call recordings, CRM notes, documents, and Slack threads.

Were building agents that do the operational work:





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

You wont just work inside this stack, youll help decide where it goes. How our retrieval layer evolves as we grow past our first customers is still an open question youd have a say in.

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

📌 Software Engineer (Valencia)
🏢 Taizen
📍 Valencia