Victoria Paskannaya
Product Manager @Laivly
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WORK HISTORY
Product Manager @Laivly
Calgary, AB, CA
A forward-deployed Product Manager launching and growing AI CX products, optimizing for value and scale- Scaling B2B AI agent assist product with 50% QoQ user growth, increasing user adoption to and driving adoption from 50% to 78% and accelerating time-to-value from 4 weeks to 1 week- Led development of a generative AI product improving quality, accuracy of agent case notes and reducing agent workload- Designed and implemented configuration framework reducing LLM feature setup from 8+ weeks to 1 hour- Built evaluation framework for features running 100K+ daily inferences, ensuring performance tracking and quality control across deployments- Drove end-to-end delivery of AI transcription and assist solutions, increasing agent efficiency and voice AI adoption across multiple BPOs- Developed internal prompt testing and optimization frameworks and templates, prompt engineered 0→1 prompts for a core feature used by 2,500+ users.
EDUCATION
Singapore Management University
International Exchange Semester
McGill University
Bachelor of Commerce (BCom)
ABOUT VICTORIA PASKANNAYA
Product Manager specializing in AI-driven platforms and LLM products including contact centers, websites and enterprise search — combining deep LLM expertise with a track record of scaling post-PMF products to global adoption, boosting utilization, compressing time-to-value, and delivering measurable business impact.Known for bridging technical depth (LLM prompt engineering, evaluation frameworks, and AI observability) with business value quantification and stakeholder alignment. I excel in mobilizing cross-functional teams, reducing deployment cycles from months to hours, and enabling scalable, repeatable growth.Recognized for high execution, cross-team trust, and outcome ownership — driving adoption of AI capabilities across thousands of global users while shaping strategic direction.In my free time, I dive into electronic music, spend time outdoors, or developing AI apps Keywords:AI Product Manager, Artificial Intelligence, Generative AI, Large Language Models, LLM, AI Agent, Voice AI, Conversational AI, AI Automation, Retrieval-Augmented Generation, RAG, AI Product Development, Machine Learning, ML, Natural Language Processing, NLP, Automatic Speech Recognition, ASR, Transcription AI, Agent Assist, Prompt Engineering, Meta Prompting, AI Evaluation Frameworks, AI Model Optimization, Product Strategy, Product Roadmap, Product Lifecycle Management, PLM, Product Discovery, Product Delivery, Go-To-Market Strategy, GTM, Customer Experience, CX, BPO Solutions, SaaS Product Management, Enterprise SaaS, API Integrations, GraphQL, RESTful API, Sitecore, Adobe Experience Manager, Optimizely, Search & Discovery Platforms, Coveo, Solr, Elasticsearch, Data Analytics, Data-Driven Decision Making, SQL, Snowflake, Tableau, Amplitude, Google Analytics, Anthropic, Langfuse, LMStudio, Cohere, OpenAI, Anthropic Claude, Databricks, Miro, JIRA, Confluence, LaunchDarkly, Cross-Functional Leadership, Stakeholder Management, Agile Product Management, Scalable Systems Design, Enterprise Integrations, Global Product Portfolio Management, Process Optimization, Experimentation Frameworks, Developer Experience, Developer Experience, DX, API Developer Adoption.
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