Madrid
Join to apply for the Head of Cloud role at Neurons Lab . Location: Madrid, Community of Madrid, Spain • Partnership Excellence: Maintain and expand our Advanced AWS Partnership status, securing Premier Tier partnership within 18 months, • Funding Success: Achieve 95%+ success rate on AWS funding applications with average application time within 2 business days, • Engineering Excellence: Establish technical standards that ensure all solutions are built for reusability, implement comprehensive documentation practices, and create knowledge sharing frameworks that accelerate team capability development and solution delivery speed, • New Service Development: Launch and scale 3+ new cloud service offerings generating €200K+ annual recurring revenue (Well‑Architected Review services, Migration offerings, AWS Marketplace solutions, Cloud Reselling programmes), • Market Leadership: Establish Neurons Lab as a recognized thought leader in AI/ML cloud solutions through content, speaking, and partnerships, • Maintain a 95%+ success rate on AWS funding applications submitted, • Successfully secure AWS funding through programs like PoC and MAP, with a target application time of 2 days for PoC fundings, • Complete and document at least 10+ AWS Well‑Architected reviews annually, • Increase AWS certification portfolio at all levels (Foundation, Associate and Pro/Spec) by 30% annually in certification number, • Meet or exceed 50% billable utilisation target while balancing internal initiatives, • Achieve Premier Tier AWS Partnership within 18 months, • Strategic Relationship Management: Serve as primary contact for AWS partnership team, negotiating contracts and securing optimal terms for Neurons Lab and clients, • Funding Program Leadership: Drive AWS funding acquisition through PoC, MAP, ISV Workload Migration, and specialised AI/ML programmes, • Competency Management: Lead competency applications and renewals, expanding our portfolio to include Migration, Data Analytics, and additional specialised areas, • Market Development: Identify and cultivate new business opportunities through AWS ecosystem, partner network, and marketplace presence, • Architecture Standards: Define and enforce technical standards ensuring all solutions are built for reusability, scalability, and multi‑environment deployment from inception, • Documentation Culture: Establish comprehensive documentation practices including infrastructure‑as‑code documentation, architectural decision records, and knowledge transfer protocols, • Knowledge Sharing: Create onboarding programmes, coding standards, knowledge sharing frameworks, and cross‑team learning initiatives, • Engineering Best Practices: Implement modern development practices including infrastructure‑as‑code templates, automated testing frameworks, and standardised deployment pipelines, • Technical Excellence: Ensure all deliverables meet AWS Well‑Architected standards and production‑grade quality requirements, • Innovation Leadership: Stay current with emerging cloud technologies and AI/ML services, translating trends into business opportunities, • Enterprise FSI Customer Launch: Lead onboarding and first implementations for key Financial Services Industry clients (banks, insurance, wealth‑management), establishing Neurons Lab as trusted FSI cloud partner, • New Service Launch Leadership: Drive first implementations of new cloud service offerings (Well‑Architected Reviews, Migration Services, Marketplace Solutions) with strategic enterprise customers to establish proven methodologies and reference cases, • Market Entry Engagements: Participate in breakthrough projects that establish Neurons Lab presence in new geographic markets or industry verticals, ensuring exceptional delivery quality, • Reference Customer Development: Build long‑term relationships with enterprise clients who become case studies, speaking references, and advocates for Neurons Labs capabilities, • Innovation Showcases: Lead cutting‑edge AI/ML implementations that demonstrate Neurons Labs technical leadership and generate market recognition, • Strategic Partnership Projects: Collaborate on joint customer engagements with AWS and other strategic partners to strengthen ecosystem relationships and generate co‑marketing opportunities, • AWS Partnership Experience: Working knowledge of AWS Partner Network, funding programmes (PoC, MAP), and competency applications, • AWS Technical Skills: Solutions Architect Associate/Professional certification with hands‑on cloud architecture experience, • Team Leadership: Experience leading technical teams (5+ people) and establishing engineering standards, • Business Development: Track record generating revenue through cloud services or partnerships, • Customer Facing: Comfortable presenting technical solutions to enterprise clients and supporting sales processes, • Communication: Advanced English, able to explain technical concepts to business audiences, • AI/ML Background: Experience with AWS AI/ML services (SageMaker, Bedrock) or similar cloud AI platforms, • Financial Services: Understanding of banking/insurance technology challenges and regulatory requirements, • Infrastructure as Code: Practical experience with Terraform, CloudFormation, or similar IaC tools, • Content Creation: Technical writing, speaking, or thought leadership activities, • Adaptability: Comfortable working in a fast‑paced consulting environment with diverse clients, • AWS Cloud Services: Solid understanding of core AWS services with focus on compute, storage, networking, and AI/ML services (SageMaker, Bedrock, Lambda), • AWS Partnership Ecosystem: Working knowledge of AWS Partner Network structure, funding programmes (PoC, MAP), and competency requirements, • Business Development: Knowledge of cloud consulting market dynamics and how to translate technical capabilities into business value, • Cloud Security & Compliance: Understanding of cloud security fundamentals, identity management, and basic compliance frameworks (GDPR, PCI‑DSS), • Financial Services Industry: Awareness of banking/insurance technology challenges, regulatory requirements, and common use cases, • AI/ML Market Trends: Current awareness of AI/ML trends, competitive landscape, and emerging technologies in generative AI and machine learning, • Technology Evolution: Interest in staying current with cloud innovation and multi‑cloud strategies, • Cloud Architecture: 5+ years in solution architecture or cloud engineering roles with hands‑on AWS experience, • Team Leadership: 3+ years leading technical teams, establishing standards, or managing engineering initiatives, • AWS Partnership: Experience with AWS Partner Network activities, funding applications, or competency programmes, • Business Development: Track record supporting sales processes, RFP responses, or revenue generation through cloud services, • Enterprise Projects: Involvement in large‑scale cloud implementations, preferably in AI/ML or data analytics, • Financial Services: Experience working with banking, insurance, or fintech clients and regulatory compliance requirements, • Customer Engagement: History of client‑facing work, technical presentations, or solution consulting Full‑time Information Technology IT Services and IT Consulting #J-18808-Ljbffr