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Nikhil Bhatt

@nikhilbhatt1

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Product Manager at AppBrew building AI self-serve features that cut support effort by 40%.

Poland

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At AppBrew, I own retention work across checkout, attribution, and repeat-purchase loops for a no-code platform serving Shopify D2C brands. I led AI-powered self-serve features and introduced n8n workflows that cut manual support effort by 40% and reduced resolution SLAs from 24 hours to under 6.

Before that, I shipped a healthcare chatbot at Peearz using OpenAI Agents, LangChain, and Pinecone, reaching 90%+ accuracy. At Songdew, I ran engagement experiments that lifted weekly active usage by 23%, and built n8n workflows for internal operations.

Experience

Work history, roles, and key accomplishments

Current

Product Manager

Current

AppBrew

May 2025 - Present (1 year 6 months)

Led development of AI-powered self-serve dashboard features and n8n automation workflows, cutting manual support effort by 40% and improving resolution SLAs from 24h to under 6h. Prioritized roadmap from support trends and user feedback, eliminating top 5 recurring friction points and reducing related tickets by ~35%.

AI Agents N8n Product Management Roadmapping A B Testing Funnel Analysis Retention Analysis SQL Python Mixpanel Google Analytics Firebase Appsflyer Mo Engage WebEngage CRM Power BI

Product Manager

Songdew

Sep 2024 - Apr 2025 (7 months)

Ran A/B tests on engagement features, driving a 23% lift in weekly active usage. Redesigned key user journeys with design and engineering, increasing feature discoverability by 40% and reducing onboarding drop-off.

A B Testing Product Management N8n Agile Scrum Sprint Planning Jira Figma SQL Python Mixpanel Google Analytics Firebase Appsflyer Mo Engage WebEngage CRM Power BI

Generative AI Engineer

Peearz

May 2023 - Mar 2024 (10 months)

Designed and shipped an AI chatbot for healthcare use cases using OpenAI Agents, LangChain, and Pinecone retrieval, handling user queries with 90%+ accuracy. Built scalable AI backends with Azure Blob Storage and Redis caching, supporting sub-second response times at scale.