Dein persönlicher KI-Karriere-Agent
AI DI Engineering Manager(m/w/x)
Deploying AI models to client environments for business decision-making. Strategic leadership with technical depth required. Equity package, flexible remote-first culture.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 7 - 10 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI
- data science
- analytics
- AI architectures
- data modeling
- model fine-tuning
- agentic AI systems
- decision optimization platforms
- SaaS
Benefits
Attraktive Vergütung
- Equity package
Flexibles Arbeiten
- Flexible remote-first culture
Sonstige Vorteile
- Office access in Lisbon and Munich
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AI DI Engineering Manager(m/w/x)
Deploying AI models to client environments for business decision-making. Strategic leadership with technical depth required. Equity package, flexible remote-first culture.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 7 - 10 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI
- data science
- analytics
- AI architectures
- data modeling
- model fine-tuning
- agentic AI systems
- decision optimization platforms
- SaaS
Benefits
Attraktive Vergütung
- Equity package
Flexibles Arbeiten
- Flexible remote-first culture
Sonstige Vorteile
- Office access in Lisbon and Munich
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Aily Labs
Branche
IT
Beschreibung
The company is a rapidly growing startup dedicated to democratizing AI through an exceptional mobile app that provides immediate business insights.
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