Welcome to Maisa - Making AI Accountable! 

Our agentic process automation platform helps enterprises automate complex, decision-heavy processes that traditional automation can’t handle and GenAI can’t be trusted with.

We enable organizations to scale operations, resist hallucinations, and bring end-to-end visibility and control to your most complex processes.
Powered by a new kind of computing platform, Maisa combines AI-driven problem solving with programmatic execution, so every action is reliable, auditable, and built for enterprise scale.

About the Role

Our Technical Account Managers play a crucial client-facing role to drive adoption, expansion, and value realization for enterprise customers implementing our agentic AI platform, contributing significantly to ensuring the success of key enterprise customers. You'll manage the full lifecycle of customer deployments, from leading discovery processes, through initial technical implementation, and on to broad organizational adoption. TAMs provide program/project management for enterprise-wide rollouts, coordinating implementation across multiple departments and stakeholders while ensuring consistent value delivery and transformative results for clients.
Whilst this role can be remote, based anywhere in Spain, you can expect 25% travel time on-site with customers and Maisa offices.

Key Responsibilities

Implementation & Delivery: 

• Lead enterprise-wide platform rollouts across multiple customer departments, managing parallel implementation streams, comprehensive project plans, milestones, and resource requirements
• Coordinate customer onboarding activities, including technical setup, process discovery and mapping, user training, and knowledge transfer. 

Program Management & Governance:

• Establish and track KPIs and success metrics for each deployment phase, providing regular status updates to internal and customer executive stakeholders
• Identify and mitigate implementation risks through proactive program management

Enablement & Adoption:

• Develop scalable training programs and materials to drive customer self-sufficiency and adoption through change management best practices
• Build and maintain a use case repository to track implementation progress, measure success, and identify expansion opportunities

Stakeholder Management:

• Serve as the primary point of contact for technical and operational issues during implementation
• Facilitate cross-functional collaboration between customer teams and Maisa AI resources, driving stakeholder engagement

What you'll bring

Key Requirements: 

• Strong demonstrable experience managing enterprise technology implementations, with proven experience leading customer onboarding, training programs, and change management initiatives at scale
• Strong program management capabilities, including coordinating parallel workstreams, dependencies, and stakeholder management from technical teams to C-suite
• Solid technical knowledge across modern cloud infrastructure and software technologies (AWS, Azure, Kubernetes, CI/CD, REST APIs) from either commercial experience or a Bachelor's degree in Computer Science, Information Systems, or related field
• Demonstrable experience leading discovery processes and process mapping using various frameworks and methodologies
• Excellent communication and documentation skills with the ability to present complex technical ideas and AI automation solutions to both technical and non-technical stakeholders
• Business proficiency in Spanish and English; additional European languages a plus
• Ability to travel up to 25% of the time

Desired Qualities: 

• Hands-on experience with enterprise automation platforms (UiPath, Automation
  Anywhere, Blue Prism, Celonis) and relevant certifications (PMP, PRINCE2, Agile)
• Background in process optimization, business process management, or digital
  transformation with a track record of successful change management in large
  organizations
  
• Self-starter who thrives in fast-paced, founder-led environments with comfort
  navigating ambiguity and creating structure in undefined scenarios
• Strong analytical skills for tracking program metrics and demonstrating customer
  value
• Willingness to actively use AI tools to enhance productivity and preference for flat
organizations with direct impact