AI Product Manager — PropTech
Launch a portfolio of AI products for a federal real estate agency network — with a direct impact on the sales funnel and revenue. Build a system around LLM: processes, checks, and metrics that deliver predictable business results.
Remote
Full-time
Experience 3–6 years
Moscow
Compensation discussed after interviews
Products in scope of responsibility
Four products on a shared core
Call Evaluation
Calls based on leads — quality assessment and recommendations on how to best handle the next interaction.
Leads from Chats
Inbound leads from the website and classifieds: qualification, responses, handover to manager.
AI Trainer
Role-playing scenarios for employee training with auto-assessment.
Description Generation
Automatic generation of listing descriptions.
Scale: Federal network of digital real estate agencies
The employer is one of the leaders in the Russian real estate market. AI products are being implemented into the real processes of a national-scale network.
- Founded in 2006
- ≈20 years in the market
- 200+ offices across Russia
- 100+ cities of presence
- 6,600+ employees and agents
- Top-3 real estate agencies in the country (DomClick rating) · own digital platform
Responsibilities
- Be responsible for product strategy and roadmap for the directions, prioritize
- Build products as reusable blocks on a shared core, not one-off pipelines
- Ensure predictable quality through a system around the model: benchmarks, metrics, external result verification, reliance on the source (quotes)
- Be responsible for the product's impact on business metrics: test hypotheses, measure the effect of changes, iterate based on data
- Select models for the task and manage economics
- Independently assemble product prototypes for hypothesis testing and hand them over to engineers for implementation
- Coordinate the team (engineers, trainers, analytics), launch pilots
What's important
- Experience in product management for AI/ML or data products launched into production (3+ years)
- Product discovery
- Confident command of Claude Code / Codex
- Engineering intuition for LLMs
- Ability to build quality assessment: benchmarks, metrics, testing
- Model selection for the task and understanding of economics
- Independence in research
Will be an advantage
- Real estate / sales / call center domain knowledge
- Voice stack (STT/TTS), telephony
