Head of Cloud

Department: AI Engineering

Location: Poland, Romania, Spain, Albania, Portugal, Spain Madrid, Serbia, Czech Republic, Thailand, Lithuania, Cyprus, Italy, Greece, Singapore, Hungary, Bulgaria, Moldova, London, KZ

Employment Type: FullTime

About the project

Join Neurons Lab as Head of Cloud to lead our strategic partnership with AWS and drive the expansion of our cloud capabilities across AI/ML consulting engagements. This senior leadership role combines strategic partnership management, business development, and technical excellence to accelerate our growth in the cloud ecosystem. You'll be responsible for managing our Advanced AWS Partnership, securing funding and credits for client projects, and building world-class cloud capabilities within our team. The role requires a unique blend of technical depth, business acumen, and relationship management skills to navigate complex partnership agreements and drive revenue growth through cloud initiatives.

Objective

Drive Neurons Lab's cloud strategy and AWS partnership to achieve measurable business growth through:

• 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 programs)

• Market Leadership: Establish Neurons Lab as a recognized thought leader in AI/ML cloud solutions through content, speaking, and partnerships

KPI

• Maintain a 95%+ success rate on AWS funding applications submitted

• Successfully secure AWS funding through programs like PoC and MAP, with a target of application time is 2 days for PoC fundings

• Complete and document at least 10+ AWS Well-Architected reviews annually. That is mainly billable activities

• Increase AWS certification portfolio at all level (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 a 18 months

Areas of Responsibility

AWS Partnership & Business Development (33%)

• 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 specialized AI/ML programs

• Competency Management: Lead competency applications and renewals, expanding our portfolio to include Migration, Data Analytics, and additional specialized areas

• Market Development: Identify and cultivate new business opportunities through AWS ecosystem, partner network, and marketplace presence

Technical Leadership & Engineering Excellence (33%)

• 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 programs, 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 standardized 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

Strategic Customer Projects & Service Launch (33%)

• 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 Lab's capabilities

• Innovation Showcases: Lead cutting-edge AI/ML implementations that demonstrate Neurons Lab's 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

Skills

• AWS Partnership Experience: Working knowledge of AWS Partner Network, funding programs (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 fast-paced consulting environment with diverse clients

Knowledge

• 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 programs (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

Experience

• 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 programs

• 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

• Service Development: Experience launching new service offerings, building practices, or scaling technical capabilities