Chief Product and Technology Officer

You will build an AI-native internal infrastructure from scratch. You will centralize company data, design and deploy a Google Cloud and BigQuery data lake, and build ETL/ELT pipelines. You will implement secure RAG architectures and AI agents, integrate them with existing tools, train users, establish governance, document processes, and maintain the technical stack.

Responsibilities

• Audit and centralize historical company data
• Design and deploy a data lake on Google Cloud and BigQuery
• Build ingestion, cleaning, and transformation pipelines
• Orchestrate document vectorization
• Deploy secure RAG architecture
• Select embedding and generation models
• Ensure data confidentiality and access segmentation
• Design and deploy cross-functional and team-specific AI agents
• Integrate agents with Affinity, Google Workspace, and Slack
• Maintain and improve agents using user feedback
• Run onboarding and training sessions
• Prioritize high-return use cases and the roadmap
• Document agentic processes and technical runbooks
• Implement data governance, access control, versioning, audit trails, and GDPR compliance
• Maintain and evolve the technical stack

Requirements

• Seven or more years of experience as a senior freelance professional or independent consultant
• Change management experience with non-technical teams
• AI and LLM expertise, including RAG, embeddings, and agent orchestration
• Data engineering experience with Python, BigQuery, SQL, and ETL/ELT pipelines
• Google Cloud Platform and Google Workspace experience
• Ability to design secure, scalable data architectures
• CRM and AI-integration knowledge
• Live AI or data project references