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AI DI Engineering Manager

Ailylabs · Barcelona · Hybrid · Active · Personio

Job facts

FieldValue
CompanyAilylabs
TitleAI DI Engineering Manager
Normalized title-
Department / teamAI Engineering / Business Impact Lead
LocationBarcelona
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerPersonio
Posted / first seen2026-03-16 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Ailylabs.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Personio.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in AI Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAilylabs
Source273aa403-f437-4c0f-a3ff-ae25badb1882
ATS providerPersonio

Description

Mission As an AI DI Engineering Manager , you will own the end-to-end integration of Aily's platform within client environments — from initial scoping through deployment and continuous optimization. You will lead a team of Decision Intelligence Analysts, set the standard for how we deliver value to clients, and act as the senior technical and strategic point of contact across engagements. Your profile This is a role for someone who thrives at the intersection of AI, business strategy, and client partnership — someone who can translate complex technical capabilities into measurable outcomes and build the internal practices that make our team world-class. What you'll do: Lead and develop a team of Decision Intelligence Analysts working across multiple client engagements and industries Own the end-to-end integration lifecycle for strategic client accounts — from requirements definition to model deployment and performance validation Establish standardized methodologies for defining data requirements, adapting models to client contexts, and ensuring consistent delivery quality Oversee strategic data model architecture decisions, ensuring scalability, flexibility, and alignment with client business objectives Guide Decision Intelligence Analysts in running, fine-tuning, and optimizing AI models to achieve the best possible decision outcomes Implement rigorous validation frameworks that ensure all model outputs deliver measurable, demonstrable business value Serve as the senior technical relationship owner for key clients, managing expectations and ensuring alignment between platform capabilities and client goals Collaborate closely with Product, Engineering, and Client Success teams to surface client insights that enhance our platform roadmap Ensure your team develops deep expertise in client business processes and user needs, creating solutions that drive adoption and lasting impact Your Profile We're looking for a strategic leader who combines technical depth with the ability to build high-performing teams and trusted client relationships. What you bring: Experience: 7+ years in AI, data science, or analytics roles, including at least 2 years in a team leadership position Team leadership: Proven track record of building, managing, and growing technical teams in fast-paced environments Technical depth: Strong understanding of AI architectures, data modeling principles, and model fine-tuning methodologies End-to-end ownership: Experience leading complex technical integrations from scoping through delivery and ongoing optimization Industry versatility: Demonstrated ability to apply AI solutions across multiple industries and business functions with measurable results Client management: Comfortable owning senior-level client relationships on the technical side — setting expectations, navigating complexity, and building trust Process excellence: Track record of implementing scalable methodologies that improve delivery quality and team efficiency Business acumen: Clear understanding of how AI creates business value and the ability to connect technical decisions to strategic outcomes Strategic thinking: Ability to anticipate trends in AI decision systems and position your team for continued innovation User advocacy: Experience championing end-user needs within technical implementation decisions Bonus points if you have: 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 Who are we? At Aily Labs, we're building the AI operating system for business decisions. Our platform empowers organizations to make faster, smarter, and more consistent decisions by combining cutting-edge AI with deep business context. We work with leading enterprises across industries to transform how decisions are made — from strategy to execution. We're growing fast, and we're looking for exceptional people who want to shape the future of AI-driven decision-making. What sets us apart? Work on one of the most exciting problems in enterprise AI — how organizations make decisions at scale Join a team of world-class engineers, scientists, and operators building something genuinely new Competitive salary and equity package Flexible, hybrid culture with the option to work from our offices in Barcelona, Madrid or Munich.  A culture that values ownership, curiosity, and direct feedback

Full job record

Job IDeef8bfafe25015bbfd3a40c3f2565559ca1f9be5
Org IDcb858230-4865-4da8-a5f9-783435650a98
Source ID273aa403-f437-4c0f-a3ff-ae25badb1882
Board ID273aa403-f437-4c0f-a3ff-ae25badb1882
Providerpersonio
Provider Job Key2565974
TitleAI DI Engineering Manager
Normalized Title
Statusactive
Activeyes
Location TextBarcelona
DepartmentAI Engineering
TeamBusiness Impact Lead
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryBarcelona
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://ailylabs.jobs.personio.com/job/2565974?language=en
Apply URLhttps://ailylabs.jobs.personio.com/job/2565974?language=en
First Seen At2026-05-30 05:44:23Z
Last Seen At2026-06-06 07:53:25Z
Last Checked At2026-06-06 07:53:25Z
Last Changed At2026-05-30 05:44:23Z
Inactive At
Source Posted At2026-03-16 15:03:04Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=personio/board=ailylabs.com/date=2026-06-06/2026-06-06T07-53-24-518Z-a1da5c5328f1834c031e97f893f1775a19222c70500149144c74070255fa2f94.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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      "value": "As an <strong>AI DI Engineering Manager</strong>, you will own the end-to-end integration of Aily's platform within client environments — from initial scoping through deployment and continuous optimization. You will lead a team of Decision Intelligence Analysts, set the standard for how we deliver value to clients, and act as the senior technical and strategic point of contact across engagements."
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      "name": "Your profile",
      "value": "This is a role for someone who thrives at the intersection of AI, business strategy, and client partnership — someone who can translate complex technical capabilities into measurable outcomes and build the internal practices that make our team world-class.<br><br><strong>What you'll do:</strong><br><ul><li>Lead and develop a team of Decision Intelligence Analysts working across multiple client engagements and industries</li><li>Own the end-to-end integration lifecycle for strategic client accounts — from requirements definition to model deployment and performance validation</li><li>Establish standardized methodologies for defining data requirements, adapting models to client contexts, and ensuring consistent delivery quality</li><li>Oversee strategic data model architecture decisions, ensuring scalability, flexibility, and alignment with client business objectives</li><li>Guide Decision Intelligence Analysts in running, fine-tuning, and optimizing AI models to achieve the best possible decision outcomes</li><li>Implement rigorous validation frameworks that ensure all model outputs deliver measurable, demonstrable business value</li><li>Serve as the senior technical relationship owner for key clients, managing expectations and ensuring alignment between platform capabilities and client goals</li><li>Collaborate closely with Product, Engineering, and Client Success teams to surface client insights that enhance our platform roadmap</li><li>Ensure your team develops deep expertise in client business processes and user needs, creating solutions that drive adoption and lasting impact</li></ul><strong>Your Profile</strong><br>We're looking for a strategic leader who combines technical depth with the ability to build high-performing teams and trusted client relationships.<br><strong>What you bring:</strong><br><ul><li><strong>Experience:</strong> 7+ years in AI, data science, or analytics roles, including at least 2 years in a team leadership position</li><li><strong>Team leadership:</strong> Proven track record of building, managing, and growing technical teams in fast-paced environments</li><li><strong>Technical depth:</strong> Strong understanding of AI architectures, data modeling principles, and model fine-tuning methodologies</li><li><strong>End-to-end ownership:</strong> Experience leading complex technical integrations from scoping through delivery and ongoing optimization</li><li><strong>Industry versatility:</strong> Demonstrated ability to apply AI solutions across multiple industries and business functions with measurable results</li><li><strong>Client management:</strong> Comfortable owning senior-level client relationships on the technical side — setting expectations, navigating complexity, and building trust</li><li><strong>Process excellence:</strong> Track record of implementing scalable methodologies that improve delivery quality and team efficiency</li><li><strong>Business acumen:</strong> Clear understanding of how AI creates business value and the ability to connect technical decisions to strategic outcomes</li><li><strong>Strategic thinking:</strong> Ability to anticipate trends in AI decision systems and position your team for continued innovation</li><li><strong>User advocacy:</strong> Experience championing end-user needs within technical implementation decisions</li></ul><strong>Bonus points if you have:</strong><br><ul><li>Hands-on experience with agentic AI systems or decision optimization platforms</li><li>Background in technical pre-sales or solution architecture</li><li>Experience working in or closely with enterprise SaaS companies</li></ul>"
    },
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    },
    {
      "name": "What sets us apart?",
      "value": "<ul><li>Work on one of the most exciting problems in enterprise AI — how organizations make decisions at scale</li><li>Join a team of world-class engineers, scientists, and operators building something genuinely new</li><li>Competitive salary and equity package</li><li>Flexible, hybrid culture with the option to work from our offices in Barcelona, Madrid or Munich. </li><li>A culture that values ownership, curiosity, and direct feedback</li></ul>"
    }
  ],
  "occupationCategory": "other",
  "recruitingCategory": "Business Impact Lead"
}
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