Senior Product Manager – AI Platforms (LLM, OCR, Vision, Multi-Modal)
We are hiring a Senior Product Manager with deep experience in applied AI, specifically building production systems that leverage:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Optical Character Recognition (OCR)
Computer Vision & video analysis
Image generation models
Workflow automation systems
This role will lead the strategy and execution of AI systems that convert unstructured inputs (video, images, documents, emails, RFPs) into structured, validated, workflow-ready outputs.
Hospitality technology experience (PMS, CRS, revenue systems, enterprise SaaS integrations) is a strong plus.
Core Product Mandate
Design and scale AI systems that:
- Extract structured requirements from: Meeting recordings, Sales demos, RFP documents, Contracts, Implementation documents
- Use OCR and vision models to parse: PDFs, Scanned contracts, Screenshots, Legacy documents
- Integrate AI outputs directly into: CRM systems, PMS platforms, Workflow tools, Implementation pipelines
- Generate AI-assisted visual or documentation outputs where applicable (image generation, document creation, diagram generation)
Key Responsibilities
1. AI Product Strategy
Define roadmap for multi-modal AI platform
Translate AI capability into measurable commercial value
Evaluate tradeoffs between:
Hosted LLMs (OpenAI, Anthropic)
Open-source models
Fine-tuning vs prompt engineering
RAG vs embedding architectures
2. LLM & Structured Output Systems
Design systems that:
Enforce JSON schema outputs
Score confidence levels
Reduce hallucinations
Support human-in-the-loop validation
Own model evaluation metrics (precision, recall, hallucination rate)
3. OCR & Document Intelligence
Lead integration of OCR pipelines
Build workflows for:
Extracting structured data from scanned PDFs
Reading contracts and RFPs
Identifying required capabilities
Design error-handling + correction layers
4. Video & Multi-Modal Processing
Develop systems that:
Transcribe meetings
Extract requirements from demos
Identify key commitments and gaps
Design video-to-insight pipeline architecture
Understand multimodal model capabilities and limitations
5. Image Generation & AI-Generated Artifacts
Define use cases for AI-generated:
Diagrams
Process visuals
Implementation flows
Sales enablement materials
Evaluate generative image models for enterprise use
Ensure outputs align with brand and compliance standards
6. Workflow Automation & Enterprise Integration
Integrate AI outputs into:
CRM (Salesforce, HubSpot)
Ticketing systems
PMS platforms
Implementation workflows
Design API-first architecture
Optimize latency and cost management
Who is the ideal candidate:
7+ years product management experience
3+ years building AI/ML-powered products
Proven experience shipping LLM-based production systems
Experience with:
Prompt engineering
RAG architectures
Vector databases
Structured schema enforcement
Model evaluation frameworks
Experience working with:
OCR systems
Document intelligence platforms
Computer vision or multimodal AI
Strong technical fluency with APIs and enterprise SaaS systems
Preferred Experience
Hospitality technology (PMS, CRS, revenue systems)
Enterprise SaaS with complex implementation workflows
RPA / workflow automation platforms
Experience with compliance-sensitive industries
Experience monetizing AI features (pricing + packaging)
Technical Fluency Required
Candidate must understand:
Tokenization and cost control
Latency vs accuracy tradeoffs
Fine-tuning vs retrieval approaches
Hallucination mitigation strategies
Confidence scoring frameworks
Embeddings + vector DB indexing
OCR pipeline accuracy constraints
Multimodal input limitations
Image generation guardrails
Data privacy considerations (PII handling)
What we offer
Support and tutoring to kick off your learning journey at RobosizeME
Employment contract/Freelancer contract and attractive financial compensation
Flexible working hours, freedom at work
Working remotely from home and occasionally working from our office in the center of Olomouc
Interesting work with space for self-realization and the opportunity to contribute to the development of the company with your own ideas
Friendly team and a cool start-up environment
Company events, refreshments at the workplace
Starting work from: 01.03.2026
