Product Manager AI/ML Product Business Insights

• Develop a product that helps users independently find answers and conduct research on unstructured data without involving the ML team or analysts.
• Build trust in the platform's data among vertical leaders and product teams, making the tool part of decision-making processes by ensuring transparency and verifiability of insights.
• Expand the product beyond B2B sales calls by integrating text chats, customer support inquiries, and reviews to create a unified omnichannel picture.
• Find a balance between the cost of LLM scoring, sample representativeness, and speed to reduce insight waiting time from several hours to 15 minutes.

• At least 3 years of experience in DS/ML or Data products with practical experience in LLM applications.
• Ability to work with quantitative and qualitative feedback: systematizing disparate feedback, identifying root user problems, and translating them into digitized metrics.
• Proficient in data handling: reading and verifying SQL tables, correctly setting tasks for DS/DE, and interpreting results.

Additional:

• Experience creating self-service analytics tools or internal data platforms.


• Worked with unstructured data: NLP, texts, audio, speech analytics systems, or VoC.


• Understanding of B2B domain specifics, sales processes, or customer service.