Technical Product Owner - Internal AI Platform
HybridSofia, Sofia-Capital, Bulgaria
Job Summary
Own the internal AI platform roadmap and backlog, translating requirements from public affairs, policy, and operations teams into prioritized product increments. Define acceptance criteria for LibreChat features, model configurations, RAG pipelines, and Microsoft 365 integrations, then test releases with real users to validate readiness for scale. Make trade-offs between user value, technical effort, security, and governance while maintaining documentation and guiding handover to production support. Bridge business adoption and technical delivery across European offices, ensuring enterprise-grade governance and clear communication with engineers and stakeholders.
Required Qualifications
- Existing right to work in Bulgaria
- Experience owning or managing a technical product, internal platform, enterprise tool, SaaS product, automation platform, or AI-enabled product
- Enough technical depth to work confidently with engineers on APIs, authentication, cloud platforms, data flows, integrations, security, testing, and release trade-offs
- Practical understanding of LLM tools and applied AI use cases
- Ability to turn vague stakeholder needs into clear user stories, acceptance criteria, priorities, and delivery decisions
- Strong understanding of governance, permissions, sensitive data handling, auditability, and enterprise adoption risks
- Excellent written and spoken English
- Strong documentation habits and the ability to explain technical choices in plain language
Desired Qualifications
- LibreChat or comparable open-source AI chat platforms
- Azure, Microsoft 365, Entra ID, SharePoint, Teams, Graph API, or Microsoft Fabric
- RAG, embeddings, vector databases such as Qdrant, pgvector, Weaviate, or Pinecone
- n8n, Make, Zapier, Power Automate, or other workflow automation tools
- Product analytics, user adoption metrics, internal enablement, training, or champion-network support
- Experience in consulting, professional services, public affairs, communications, legal, policy, or research-heavy environments
- OpenAI
- Azure OpenAI
- Anthropic
- Gemini
- open-source models
- Open WebUI
- LangChain
- LlamaIndex
- Microsoft 365
- other internal systems
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