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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solution Manager Ai & Data Solutions - **Company:** Provectus, Inc. - **Location:** Málaga, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Microsoft Azure, Big Data, BigQuery, Mobile Application Development, Cloud Computing, Extract Transform Load (ETL), Data Migration, Data Systems, Decision Support Systems, Automation of Marketing, Scrum Methodology, Software Product Management, Productivity Software, Power BI, Software Engineering, Tableau (Software), Google Cloud, Large Language Models, Snowflake, Prompt Engineering, IT Architecture, Technical Debt, Generative AI, Git, Data Analytics, Figma, Data Management, Machine Learning Operations, Virtual Agents, GPT, Data Pipelines, Databricks - **Published:** September 7, 2026 - **Apply:** https://www.buscojobs.com.es/senior-solution-manager-ai-data-solutions-en-malaga-ID-369824871 ## About the Role 5-7+ years in product management (0?1 and scaling) 3-5+ years with AI/ML, GenAI, or data platforms Strong Agile/Scrum experience Experience in client-facing / consulting environment Advanced English and German language skills. Technical Expertise GenAI: prompt engineering, RAG, embeddings, vector DBs Agentic AI: LangChain, AutoGPT, CrewAI Data: ETL/ELT, data modeling, migration strategies Cloud: AWS, Azure, GCP + platforms (Snowflake, Databricks, BigQuery) MLOps, model deployment, AI observability Tools: Jira, Confluence, Figma, Tableau/Power BI, Git Core Skills Design thinking, data-driven decision making, strong communication and storytelling Bias toward action; thrives in ambiguity with structured problem-solving Engineering thinking, understanding of AI-native development toolset Fluent in AI-powered automation, with hands-on experience building productivity tools for yourself or your team using Claude workflows/routines or similar tools, as well as automation platforms like n8n or equivalent. Creativity, with experience building prototypes using Claude Code or similar tools. Nice to Have Consulting or client-facing product experience; software development background Domain expertise in financial services, healthcare, retail, or manufacturing Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP Cloud Practitioner ## Description Provectusis aPremier AWS partnerat the forefront of Artificial Intelligence solutions, empowering businesses to unlock value and accelerate their transformation via bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, Provectus partners with clients worldwide and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete.We seek an exceptional Senior Solution Manager who thrives at the intersection of emerging AItechnologies and enterprise data transformation. You'll lead product strategy and execution forclient engagements involving AI, Generative AI, Agentic AI systems, and complex datamigration initiatives - delivering solutions that drive measurable business impact.The ideal candidate seamlessly navigates between strategic vision and tactical execution,translating ambiguous business challenges into actionable product roadmaps. You're equallycomfortable presenting AI architecture decisions to C-suite executives as you are collaboratingwith ML engineers on prompt engineering strategies or data scientists on embedding models.What You'll DoAI Product Strategy & DeliveryDefine product vision and roadmaps for GenAI/LLM solutions (GPT-4, Claude, Llama, Gemini), RAG, and Agentic AIOwn end-to-end product lifecycle (0?1 and scale) aligned with business KPIsBuild business cases (market analysis, ROI, competitive positioning)Data & Platform InitiativesLead large-scale data migration across AWS, Azure, GCPOversee data pipelines, transformation, governance, and APIsEnsure data quality, security, compliance, and observabilityAgile ExecutionLead Agile processes, backlog grooming, and sprint planningBreak down complex features into incremental releasesBalance feature delivery with technical debt and architecture improvementsStakeholder CollaborationWork with clients, engineers, data scientists, and UX teamsTranslate technical solutions into business valueRun workshops, user research, and product validationPerformance & ScalingDefine success metrics and analytics frameworksDrive continuous improvement and root-cause analysisSupport product adoption and change managementWhat You Bring:Experience5-7+ years in product management (0?1 and scaling)3-5+ years with AI/ML, GenAI, or data platformsStrong Agile/Scrum experienceExperience in client-facing / consulting environmentAdvancedEnglishandGermanlanguage skills.Technical ExpertiseGenAI: prompt engineering, RAG, embeddings, vector DBsAgentic AI: LangChain, AutoGPT, CrewAIData: ETL/ELT, data modeling, migration strategiesCloud: AWS, Azure, GCP + platforms (Snowflake, Databricks, BigQuery)MLOps, model deployment, AI observabilityTools: Jira, Confluence, Figma, Tableau/Power BI, GitCore SkillsDesign thinking, data-driven decision making, strong communication and storytellingBias toward action; thrives in ambiguity with structured problem-solvingEngineering thinking, understanding of AI-native development toolsetFluent in AI-powered automation, with hands-on experience building productivity tools for yourself or your team using Claude workflows/routines or similar tools, as well as automation platforms like n8n or equivalent.Creativity, with experience building prototypes using Claude Code or similar tools.Nice to HaveConsulting or client-facing product experience; software development backgroundDomain expertise in financial services, healthcare, retail, or manufacturingCertifications: CSPO, SAFe PO/PM, AWS/Azure/GCP Cloud PractitionerWhy Join Us:Lead top-tier engineering teams and cutting-edgeagentic AI systems, enterprise AI platforms.Shape how enterprises adopt AI - from strategy to architecture to delivery.Grow within a team building modern AI-delivery practices, tools, and frameworks.Remote-friendly culture with strong engineering, data, and consulting partnerships.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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