Technical Customer Success Manager

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Full Remote
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Offer summary

Qualifications:

5+ years of program/project management experience for enterprise-wide technology implementations., Strong program management skills with the ability to coordinate parallel workstreams and dependencies., Technical aptitude to understand system integrations and implementation requirements., Bachelor's degree in Computer Science, Information Systems, Business, or related field, or equivalent experience..

Key responsibilities:

  • Lead complex, enterprise-wide rollout programs for maisa AI's platform across multiple customer departments.
  • Develop and maintain comprehensive project plans with clear milestones, timelines, and resource requirements.
  • Coordinate customer onboarding activities, including technical setup, user training, and knowledge transfer.
  • Provide regular project status updates to both internal and customer executive stakeholders.

Maisa logo
Maisa https://maisa.ai
11 - 50 Employees
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Job description

About Maisa

maisa AI enables enterprises to confidently delegate mission-critical tasks to Digital Workers and AI Agents. Our unique computational approach combines AI intelligence with proven Chain-of-Work execution, while continuously capturing and transforming enterprise know-how into reusable knowledge. This allows enterprises to deploy AI agents that grow smarter through feedback and real-world usage, maintaining full traceability and accountability. As the evolution of RPA, our platform sets new standards for reliable and accountable enterprise agentic process automation leveraging AI.

The Role

We're seeking an experienced Technical Customer Success Manager to drive adoption, expansion, and value realization for enterprise customers implementing our agentic AI platform. This role primarily focuses on program/project management for enterprise-wide rollouts, coordinating implementation across multiple departments while ensuring consistent value delivery. You'll manage the full lifecycle of customer deployments, from initial technical implementation through broad organizational adoption. Reporting directly to leadership in our flat organization structure, you'll oversee complex, multi-stakeholder deployments to ensure customers achieve transformative results through our KPU technology.

Key Responsibilities

  • Lead complex, enterprise-wide rollout programs for maisa AI's platform across multiple customer departments
  • Develop and maintain comprehensive project plans with clear milestones, timelines, and resource requirements
  • Track and manage multiple parallel implementation streams and use cases across different business units
  • Coordinate customer onboarding activities, including technical setup, user training, and knowledge transfer
  • Build and maintain a use case repository to track implementation progress, measure success, and identify expansion opportunities
  • Serve as the primary point of contact for technical and operational issues during implementation
  • Develop scalable training programs and materials to enable customer self-sufficiency
  • Establish KPIs and success metrics for each deployment phase and track progress against them
  • Facilitate cross-functional collaboration between customer teams and maisa AI resources
  • Identify and mitigate implementation risks through proactive program management
  • Drive adoption through change management best practices and stakeholder engagement
  • Provide regular project status updates to both internal and customer executive stakeholders

Required Qualifications

  • 5+ years of program/project management experience for enterprise-wide technology implementations
  • Proven track record managing complex rollouts of RPA, Process Mining, or similar automation technologies across multiple business units
  • Strong program management skills with ability to coordinate parallel workstreams and dependencies
  • Experience developing and executing customer onboarding and training programs at scale
  • Technical aptitude to understand system integrations and implementation requirements
  • Demonstrated ability to manage stakeholders at all levels, from technical teams to C-suite
  • Excellent documentation skills for tracking use cases, implementation progress, and outcomes
  • Experience with change management methodologies for technology adoption
  • Business proficiency in Spanish and English; additional European languages a plus
  • Bachelor's degree in Computer Science, Information Systems, Business, or related field, or equivalent experience

Desired Qualities

  • Experience with enterprise-wide deployments of UiPath, Automation Anywhere, Blue Prism, Celonis, or similar platforms
  • Certification in project management methodologies (PMP, PRINCE2, Agile, etc.)
  • Experience creating and maintaining use case repositories and implementation playbooks
  • Background in process optimization, business process management, or digital transformation
  • Ability to develop scalable onboarding and training programs for enterprise customers
  • Track record of successful change management initiatives in large organizations
  • Self-starter mentality with ability to thrive in a fast-paced, founder-led environment
  • Strong analytical skills for tracking program metrics and demonstrating customer value
  • Comfort with ambiguity and ability to create structure in undefined scenarios
  • Willingness to actively use AI tools to enhance productivity and effectiveness
  • Preference for flat organizations and direct impact over management layers

What We Offer

  • Opportunity to shape the future of accountable enterprise AI agents
  • Competitive compensation package
  • Flat organization focused on impact rather than hierarchy
  • Work with cutting-edge computational AI technology
  • Dynamic, experienced team of technical experts
  • Continuous learning in the rapidly evolving field of Agentic AI

Required profile

Experience

Spoken language(s):
SpanishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Program Management
  • Training And Development
  • Collaboration
  • Communication
  • Analytical Skills

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