What you will do
You own the technical success of every account, from signature to a deployed solution that works and pays for itself.
- Plan each deployment: scope, sequence and what goes live first.
- Build and evaluate agents to production standard on our platform, connected to the customer's ERP, email and documents.
- Onboard the users and measure ROI per account: hours saved, errors caught, days from request to order.
- Bring what you see at customers back to product as user stories, every week.
- Write the playbooks for how we build agents, how we evaluate them and how we run projects, so each deployment takes less time than the previous one.
You work with our Head of AI on agents, with product in a weekly field debrief, and with sales on each account.
What you won't do
You won't own the commercial relationship, run discovery before a deal is signed or build demos. Use cases reach you already scoped. You write code for configuration, integrations and agents; core product features belong to engineering. Nobody will measure you by lines of code.
How we measure the role
Days from signature to a live workflow. Accounts lost to implementation, with a target of zero. ROI measured per account.
Who you are
- At least 2 years shipping software that real users depend on, ideally close to customers (forward deployed, solutions or implementation engineering, technical consulting).
- Python or TypeScript, SQL and APIs. You have built with LLMs past the demo stage: prompts, evals, failure cases.
- You can explain to a procurement manager why an agent got an invoice wrong, and what changes so it doesn't happen again.
- Professional Spanish and English.
- Ready to spend time at customer sites, mostly in Spain.
- A plus: industrial or mechanical engineering background, procurement experience, or ERP data (SAP, Dynamics).