AI Product Manager

QuinStreet

11h•$120,000 - $140,000

About The Position

QuinStreet Modernize Home Services is seeking a Senior Product Manager to lead the development of AI-powered customer acquisition experiences across conversational platforms, including ChatGPT, WhatsApp, RCS, and other AI assistants. The role owns the strategy and execution of products that help homeowners discover contractors, request quotes, and connect with service providers through AI-driven conversations. This is a zero-to-one product opportunity with direct business impact, partnering with Engineering, Marketing, Legal, and Integrations teams to build scalable, compliant, revenue-generating solutions.

Requirements

At least 5 years of Product Management experience, including ownership of complex technical products.
At least 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 with messaging platforms such as WhatsApp Business, RCS, or SMS.
Familiarity with TCPA regulations, consent management, and customer communications compliance requirements.
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.

Nice To Haves

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.

Responsibilities

Lead product strategy, roadmap, and execution for AI-powered conversational experiences and integrations.
Own the development of Model Context Protocol (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 development of LLM-powered solutions for homeowner qualification, contractor matching, and lead generation.
Partner with Legal and Compliance teams on consent capture, data privacy, and regulatory compliance.
Collaborate with Engineering to define technical requirements, evaluate product performance, and deliver scalable solutions.
Work with integration teams to connect qualified leads with contractor CRM, scheduling, and dispatch systems.
Define and monitor product KPIs, including conversion rates, lead quality, AI performance, and revenue impact.
Identify opportunities to expand AI-powered distribution channels and strategic platform partnerships.