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.

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. There's also a shift worth betting on. 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. 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.

Competitor moves, deal objections, buyer feedback, and coaching gaps are trapped across call recordings, CRM notes, documents, and Slack threads.

Show sales leaders where deals are advancing or stalling, while helping BDRs research territories and identify the right accounts to bring into pipeline
Let reps practise against voice-based AI buyers grounded in real deals, objections, and battlecard content




You won't just work inside this stack, you'll help decide where it goes. 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
Infra: AWS (RDS, EC2, CloudFront, S3, ECR, ECS, ElastiCache, Lambda), MongoDB Atlas, Grafana + Prometheus, GitHub Actions

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
CI/CD, deployments, and infrastructure hygiene

CS degree, Bachelor's or Master's, or equivalent
~4+ years shipping production software on a product team where you've owned something. Side projects are a bonus and can compensate for lack of experience
~ 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

Why you'll like it here
~ Almost unlimited token budget
~️

📌 Software Engineer* (Cequeliños)
🏢 Taizen
📍 Cequeliños