Salary: by agreement
Work Location: Moscow, Likhachevskiy Prospekt, 15
Schedule: 5 on 2 off
Format: hybrid
Contract: permanent
We are looking for a product manager to lead the AI tools perimeter for employee personal productivity. You will identify scenarios where AI can genuinely save time and reduce cognitive load, and transform them into working products — from idea and Discovery to a scalable solution. Key focuses of the role: full cycle of Discovery, launching AI functionality into the product, a data-driven approach, working with LLM architecture and response quality.
Responsibilities:
- Strategy and Vision: determine where to build a new AI tool and where to embed AI functionality into an existing service; form and defend the product vision and roadmap for the perimeter, aligning them with business goals and employee efficiency metrics.
- Discovery and Hypotheses: conduct interviews with employees and managers, observe real work, analyze routine tasks and time-consuming points; maintain and prioritize an ideas backlog; test hypotheses with prototypes, prompt experiments, and pilots with a limited group — from problem and value to solution and feasibility.
- Design and Launch: describe the target product logic, including hints, defaults, handling of incorrect model responses, and human involvement where control is needed; prepare requirements and technical specifications with acceptance criteria; support implementation until release with engineers, analysts, and the Data team (data sources, integrations, RAG, orchestration, model selection).
- Quality and Metrics: participate in designing the quality assessment loop (measuring responses, degradation, feedback); build a metrics tree for the perimeter, set up data collection and dashboards, calculate business impact.
- Scaling: ensure the transition from pilots to scalable solutions — growth in adoption, retention, and the share of scenarios closed within the product, not manually.
- AI Work Culture: increase maturity within the company — scenario patterns, response quality, user trust, clear usage rules; consider security, privacy, and compliance requirements when working with corporate data.
- Communication: present Discovery results, hypotheses, and releases to stakeholders, showing both successes and disproven hypotheses.
What we expect:
Product
- Proven full cycle of Discovery: independent interviews, hypothesis formulation and testing, data-based rejection of ideas.
- Ability to write clear requirements and technical specifications, decompose solutions, and work with the development team.
AI and Technologies
- Experience launching AI functionality in a product or bringing an AI pilot to industrial use.
- Understanding of LLM architecture and their limitations: prompting, RAG, working with context and knowledge, tool-use and agent scenarios, orchestration, response quality assessment, hallucinations and methods to reduce them.
- Understanding of product architecture: APIs and integrations, data flows, performance, reliability, and security constraints.
Data and Communication
- Data-driven approach: metrics, dashboards, A/B and quasi-experiments, understanding of statistical significance.
- Ability to calculate the business value of changes and defend it to stakeholders.
Working with us means:
- Stability and Culture. Working in a leading DIY-market company with a unique corporate culture.
- Hybrid Format. A modern office 2 minutes from MCC ZIL and the option to combine office and remote work.
- Health Care. Voluntary medical insurance with dental care and our own gym in the office for employees.
- Development. A developed system of internal training, development programs, and real opportunities for professional growth.
- Income. A flexible bonus system and a progressive social benefits program based on tenure.
- Compensation. Meal allowance and mobile phone service payment.
- Nice Bonuses. Access to BestBenefits, Dobroservis, MyBook, and others.
Work Location
Moscow, Likhachevskiy Prospekt, 15
LM Tech
