AI Deployment Strategist

September 29, 2026

Office

Middle

Barcelona

May rule you out

Office-only work

Worth knowing

English is required

Description

The company builds and operates custom AI voice agents that automate high-volume workflows for SMEs and mid-market companies across Europe and LatAm. The role owns the full journey from a qualified customer opportunity to a production agent: discovery, prototyping, deployment coordination with Engineering, and ongoing performance improvement. It functions as a general manager of assigned agents, working closely with the founders to shape solutions and expand customer value.

Responsibilities

Lead customer discovery: take over qualified opportunities from Sales, understand customer operations, define use case, scope, and success criteria
Create initial agent prototypes, configure behaviours, iterate prompts, and run demos that build customer confidence
Turn customer needs into clear requirements, coordinate integrations with Engineering, manage dependencies, and lead testing, pilots, and production launches
Own the customer relationship: keep stakeholders aligned, manage expectations, resolve blockers, and communicate from operators to executives
Review conversations and results, identify failure patterns, and drive improvements measured by agent quality, adoption, and business outcomes
Identify additional workflows where agents can help, build the case for expansion, and turn successful deployments into broader adoption
Translate recurring deployment challenges and customer feedback into actionable improvements for Product and Engineering

Requirements

Evidence of ownership: taking a project or initiative from an unclear starting point to a concrete outcome
Business and operational judgment: asking useful questions, breaking down workflows, distinguishing requests from real solutions
Customer leadership: building trust, leading conversations, and explaining complex topics simply
Comfort pushing back and guiding stakeholders towards a workable decision
Practical technical curiosity: building prototypes, testing agent behaviour, and collaborating effectively with engineers
Comfort with ambiguity: setting priorities, moving forward with incomplete information, adapting as requirements change
Resourcefulness and follow-through: exploring alternatives and staying responsible for moving work forward
Applied interest in AI: using AI tools and caring whether the output is reliable and useful in practice
Motivation for an early-stage environment with responsibility, close collaboration, and a fast learning curve
Experience leading customer implementations, operational improvements, or projects with business and technical teams
Experience with prompting, AI agents, automation tools, APIs, CRM systems, or telephony
Experience measuring business outcomes and using data to improve a product or process
Experience identifying and developing new opportunities within existing customer accounts

Conditions

Steep learning curve with direct exposure to founders and the initial startup team
Real ownership from day one with impact visible in customer outcomes
High coding agents token budget
Technical ownership with architectural influence
Exposure to challenging problems rather than just operationally busy work
Dynamic, execution-driven environment with rapid iteration cycles
Mostly on-site with flexibility to work from home sporadically when needed
Full-time indefinite contract

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