AI Product Manager

🔥 4 minutes ago

🌐 Mexico, United States – Remote

🇲🇽 Mexico – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 12%

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QuinStreet

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🛍️ eCommerce

📣 Marketing

💰 Venture Round on 2007-03

eCommerce • Marketing

QuinStreet is a pioneer in powering decentralized online marketplaces that connect searchers and consumers looking to research and compare options with brands. Operating one of the nation's largest media networks, QuinStreet utilizes its industry-leading segmentation and AI-driven matching technologies to help consumers discover better solutions and enable brands to effectively target in-market customer prospects with precision. With over 20 years of experience and a focus on performance marketing, their campaign-results-driven decision engines are designed to deliver measurable and optimized results for both consumers and brands.

📋 Description

• Lead product strategy, roadmap, and execution for AI-powered conversational experiences and integrations • Own MCP capabilities and APIs connecting external AI assistants with contractor services • Design and optimize conversational customer journeys across WhatsApp, RCS, and other messaging platforms • Drive LLM-powered solutions for homeowner qualification, contractor matching, and lead generation • Partner with Legal and Compliance on consent capture, data privacy, and regulatory compliance • Collaborate with Engineering on technical requirements, product performance, and scalable solutions • Connect qualified leads with contractor CRM, scheduling, and dispatch systems • Define and monitor KPIs including conversion rates, lead quality, AI performance, and revenue impact • Identify opportunities for AI-powered distribution channels and strategic platform partnerships

🎯 Requirements

• 5+ years of Product Management experience, including ownership of complex technical products • 2+ years of experience managing AI/Chatbot, LLM or similar products • Proven experience launching LLM-powered or generative AI products into production • Strong understanding of AI agents, MCP, function calling, or similar AI integration frameworks • Experience working with messaging platforms such as WhatsApp Business, RCS, or SMS • Familiarity with TCPA regulations, consent management, and compliance requirements for customer communications • Experience leading zero-to-one product initiatives, from strategy through launch and optimization • Strong technical aptitude and ability to collaborate effectively with engineering teams • Excellent stakeholder management, communication, and analytical skills • Experience in lead generation, marketplaces, home services, or conversational commerce • Familiarity with AI assistant ecosystems such as OpenAI, Anthropic, or Google Gemini • Experience with CPaaS providers such as Twilio, Sinch, Infobip, or Bird • Hands-on familiarity with SQL, API integrations, debugging, or MCP prototyping • Experience optimizing AI product performance, including evaluation frameworks, accuracy, latency, and cost efficiency

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