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AIAily Labs

AI DI Engineering Manager(m/w/x)

München
Full-timeWith Home OfficeManagement
AI/ML

Deploying AI models to client environments for business decision-making. Strategic leadership with technical depth required. Equity package, flexible remote-first culture.

Requirements

  • Thrives at intersection of AI, business strategy, client partnership
  • Translates technical capabilities into measurable outcomes
  • Builds world-class internal practices
  • Strategic leader with technical depth
  • Builds high-performing teams
  • Builds trusted client relationships
  • Proven track record of building technical teams
  • Proven track record of managing technical teams
  • Proven track record of growing technical teams
  • Experience in fast-paced environments
  • Strong understanding of AI architectures
  • Strong understanding of data modeling principles
  • Strong understanding of model fine-tuning methodologies
  • Experience leading complex technical integrations
  • Experience from scoping through delivery
  • Experience from delivery through ongoing optimization
  • Ability to apply AI solutions across multiple industries
  • Ability to apply AI solutions across multiple business functions
  • Demonstrated measurable results
  • Comfortable owning senior-level client relationships
  • Setting client expectations
  • Navigating client complexity
  • Building client trust
  • Track record of implementing scalable methodologies
  • Implementing methodologies for delivery quality
  • Implementing methodologies for team efficiency
  • Clear understanding of AI business value
  • Connects technical decisions to strategic outcomes
  • Ability to anticipate AI trends
  • Positions team for continued innovation
  • Experience championing end-user needs
  • Hands-on experience with agentic AI systems
  • Hands-on experience with decision optimization platforms
  • Background in technical pre-sales
  • Background in solution architecture
  • Experience working in enterprise SaaS companies
  • Experience working 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 models to client contexts
  • Ensure consistent delivery quality
  • Oversee strategic data model architecture decisions
  • Ensure scalability and flexibility of models
  • Align models with client business objectives
  • Guide analysts in running AI models
  • Guide analysts in fine-tuning AI models
  • Guide analysts in optimizing AI models
  • Achieve best possible decision outcomes
  • Implement rigorous validation frameworks
  • Ensure model outputs deliver measurable business value
  • Serve as senior technical relationship owner
  • Manage client expectations
  • Ensure alignment between platform and client goals
  • Collaborate with Product teams
  • Collaborate with Engineering teams
  • Collaborate with Client Success teams
  • Surface client insights
  • Enhance platform roadmap
  • Develop deep expertise in client business processes
  • Develop deep expertise in user needs
  • Create solutions that drive adoption
  • Create solutions for lasting impact

Work Experience

  • 7 - 10 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • AI
  • data science
  • analytics
  • AI architectures
  • data modeling
  • model fine-tuning
  • agentic AI systems
  • decision optimization platforms
  • SaaS

Benefits

Competitive Pay

  • Equity package

Flexible Working

  • Flexible remote-first culture

Other Benefits

  • Office access in Lisbon and Munich
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