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AIAily Labs SLU

AI Delivery Lead(m/w/x)

München
Full-timeWith Home OfficeSenior
AI/ML

Deploying AI models and validating performance for business decision systems. Strategic leadership with technical depth and team building ability required. Equity package, flexible remote-first culture.

Requirements

  • Thrives at intersection of AI, business strategy, client partnership
  • Strategic leader with technical depth and team building ability
  • Proven track record of building, managing, growing technical teams
  • Strong understanding of AI architectures, data modeling, model fine-tuning
  • Experience leading complex technical integrations from scoping to optimization
  • Ability to apply AI solutions across multiple industries and business functions
  • Owns senior-level client relationships on technical side
  • Track record of implementing scalable methodologies for delivery quality and team efficiency
  • Clear understanding of AI business value and strategic outcomes
  • Ability to anticipate AI trends and position team for innovation
  • Experience championing end-user needs in technical decisions
  • Hands-on experience with agentic AI systems or decision optimization platforms
  • Background in technical pre-sales or solution architecture
  • Experience working in or closely with enterprise SaaS companies

Tasks

  • Lead and develop Decision Intelligence Analysts
  • Own the end-to-end integration lifecycle
  • Define requirements for client integrations
  • Deploy AI models to client environments
  • Validate AI model performance
  • Establish standardized data requirement methodologies
  • Adapt AI models to client contexts
  • Ensure consistent delivery quality
  • Oversee strategic data model architecture decisions
  • Ensure scalability and flexibility of data models
  • Align data models with client business objectives
  • Guide AI model fine-tuning and optimization
  • Achieve optimal decision outcomes
  • Implement rigorous validation frameworks
  • Ensure model outputs deliver measurable business value
  • Serve as senior technical relationship owner
  • Manage client expectations
  • Align platform capabilities with client goals
  • Collaborate with Product, Engineering, and Client Success teams
  • Surface client insights to enhance platform roadmap
  • Develop deep expertise in client business processes
  • Understand client user needs
  • Create solutions that drive adoption
  • Create solutions that drive lasting impact

Work Experience

  • 7 - 10 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • AI
  • data science
  • analytics
  • agentic AI systems
  • decision optimization platforms
  • SaaS

Benefits

Competitive Pay

  • Competitive salary package
  • Equity package

Flexible Working

  • Flexible remote-first culture

Other Benefits

  • Office in Lisbon

Modern Office

  • Office in Munich
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