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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analyzing AI-driven conversations and operational datasets to derive actionable insights, while building monitoring systems and evaluation frameworks to measure AI quality and business impact. Proficient in SQL and Python for data analysis, with strong communication skills to translate findings into product decisions.
Highest-signal resume keywords
SQLPythonProduct AnalyticsAI Quality MetricsConversational AI
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product AnalyticsData AnalyticsOperational AnalyticsSQLPythonML PipelinesAI Evaluation FrameworksMonitoring SystemsAnalytical FrameworksAI Quality Metrics
Soft Skills
Strong Communication SkillsAbility To Work In Ambiguous Environments
Tools & Technologies
Monitoring SystemsDashboards
Industry Keywords
Conversational AIAI AgentsLLM LimitationsHallucinationsEvaluation ChallengesPrompt SensitivityQuality DegradationOperational EfficiencyPatient ExperienceFast-Changing Environments
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Analyze production behavior of Voice AI Agents and conversational AI workflows
- Investigate hallucinations, inconsistencies, silent failures, and quality degradation in AI-driven conversations
- Analyze call transcripts, logs, generated outputs, and operational datasets to uncover patterns and actionable insights
- Design evaluation frameworks for measuring AI quality, reliability, and business impact
- Build monitoring systems and dashboards for AI performance visibility
- Measure the impact of AI systems on operational efficiency, business outcomes, and patient experience
- Detect quality shifts, anomalies, and emerging failure modes in production environments
- Partner with Product, Engineering, QA, and Operations teams on AI initiatives
- Support rapid decision-making in fast-changing and ambiguous environments
Requirements
What you’ll need- 5+ years of experience in Product Analytics, Data Analytics, Operational Analytics, or analytics roles within complex production systems
- Strong SQL skills
- Python for analytical investigations and working with large-scale text datasets
- Experience working with ML pipelines or AI-powered products
- Understanding of LLM limitations, hallucinations, evaluation challenges, prompt sensitivity, and AI failure modes
- Experience building monitoring systems, analytical frameworks, or operational dashboards
- Strong communication skills and ability to translate analysis into product decisions
- Ability to work effectively in ambiguous and fast-changing environments
- Fluent Russian
- English level B2 or higher
- Ability to work CET-overlapping hours
- Experience with conversational AI or AI agents is a plus
- Experience evaluating LLM outputs is a plus
- Experience with AI quality metrics and evaluation methodologies is a plus
- Experience with prompt iteration and AI evaluation frameworks is a plus
Benefits
Comp & perks- Competitive compensation and clear growth opportunities
- Health insurance after the probation period
- Sports & wellness compensation
- Fully remote, long-term B2B collaboration
- Career growth
- Personalized English lessons via Preply
- 19 working days of vacation per year
- 4 additional wellness days
- Paid sick leave for the first 5 working days
- Thoughtful gifts for important life events