AI & Operations) at OperAI
About the company
OperAI is an interactive AI-based system for managing a company's operational activities. We transform chaos in chats, meetings, and calendars into a clear picture of what is really happening in the business.
Our goal is to create a "second brain for the CEO": to make processes transparent and manageable, to help leaders see risks, agreements, and the real state of the company.
We are currently launching pilots with the first teams and actively testing product hypotheses.
Who we are looking for
- 3+ years of experience in product or data analytics
- Experience in designing data architecture and building analytical infrastructure from scratch
- Ability to create models, schemas, and pipelines for collecting, processing, and storing structured and unstructured data. Including with AI
- Practical experience with unstructured data: correspondence, meeting transcripts, documents, and other corporate communications
- Experience in building data labeling processes: developing labeling schemas, quality criteria, and instructions for labelers
- Proficient in SQL and Python for data analysis and processing
- Understanding of ETL/ELT processes, data quality requirements, and Data Governance principles
- Deep understanding of LLM, embeddings, RAG, and AI agent principles
- Ability to design metrics and evaluation systems for AI functions: accuracy, completeness, hallucinations, and real user value
- Willingness to take responsibility and build the product's analytical function from scratch
What you will do
- Design the internal analytics system
- Design the data storage structure: events, meetings, tasks, decisions, communications, and their relationships
- Help form a unified data model for the product's AI functions
- Evaluate the quality of LLM performance: fact extraction accuracy, completeness, hallucinations, and usefulness of results
- Develop approaches to data labeling and creating datasets for testing the AI system
- Participate in the design of AI pipelines, RAG, embeddings, and corporate data search systems
- Identify patterns in clients' operational processes and transform them into product solutions
- Define key product metrics and build dashboards for the team and founders
- Analyze user behavior, pilot launches, and product hypotheses
- Improve product quality, observability, and reliability together with developers
Will be a big plus
- Experience designing AI or ML system architecture
- Work with LLM API, vector databases, LangChain/LangGraph, or similar tools
- Experience building LLM quality monitoring and evaluation systems
- Understanding of companies' operational activities: tasks, meetings, decisions, responsibilities, deadlines, and reporting
- Experience with BI tools and product analytics systems
- Experience in B2B SaaS, startups, or products for managers and teams
- Experience interacting with data engineering, ML, and backend teams
What we offer
- Equity compensation model at the initial stage – options
- Opportunity to build the analytics for an AI product from scratch
- High impact on architecture, product decisions, and company development
- Direct work with founders
- Pilot clients and real data for hypothesis testing
- Flexible work format and fast decision-making cycle
- Opportunity to grow into Head of Data / AI Analytics as the project develops
