Sweta Parekh
Product Management, Gtm Tech Sales Tech Customer Success Partner @Intuit
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WORK HISTORY
Product Management, Gtm Tech Sales Tech Customer Success Partner @Intuit
Mountain View, CA, US
Collaborated cross-functionally to create delightful customer service experience for QuickBooks driving integration across customer service platform that includes Amazon Connect, Salesforce and other vendors• Experience working with cross functionally with Product, Design, Engineering, Legal and Compliance teams to enable call transition after they purchase product and express interest in talking to customers resulting in 30% increase in customer retention• Reduced lead time by 50% through the implementation of an AI-based automated lead creation process, identifying and integrating conversational AI and machine learning algorithms to phone BOTs, reducing costs and improving efficiency• Led multi-year Salesforce roadmap execution with over users and 5M+ QuickBooks customers, increasing customer satisfaction and retention by revolutionizing the end-to-end customer journey.• Accomplished a 30% increase in lead generation and boosted lead/account scoring accuracy by 15%, resulting in a higher ROI and conversion rates.• Developed an effective product vision, strategy, and roadmap, leading the management of global sales and partnerships worth ~$1.2bn for QuickBooks Ecosystem Products.
EDUCATION
Kellogg Executive Education
Product Strategy
Xavier Institute of Management(XIM Bhubaneswar)
PGDM, Systems, Strategy, Operations
B. M. S. College of Engineering
B.E., Telecommunication
SKILLS
ABOUT SWETA PAREKH
I’m a Staff Product Manager specializing in AI-powered platforms and revenue systems at scale.Over the past 10+ years at Intuit, I’ve led multiple 0→1 launches across conversational AI, lifecycle growth automation, account-based sales transformation, and CRM intelligence infrastructure. My work has generated $6M+ in incremental revenue, reduced revenue latency from days to minutes, and enabled $100M+ pipeline growth across mid-market and enterprise sales teams.I operate at the intersection of product strategy, AI, and systems architecture — translating behavioral signals and complex data pipelines into intelligent workflows that drive measurable business outcomes. Recently, I’ve focused on integrating LLM capabilities (Claude, Gemini) into enterprise platforms, prototyping AI agents, and building explainable matching systems to reduce data fragmentation and improve decision-making.I’m particularly interested in building AI-native products and platform systems that operate reliably at global scale and meaningfully improve how people work, transact, and connect.
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