Q

QuinStreet

Performance-based digital marketing & lead generation

AI Product Manager

Technical Product ManagementPosted on Nov 13
Full-timeMexicoNo salary listedIn-person

About the Job

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 working 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.

Responsibilities

  • Lead the product strategy, roadmap, and execution for AI-powered conversational experiences and integrations.
  • Own development of MCP capabilities and APIs that connect 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 to ensure appropriate 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.

Desired Qualifications

  • 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.

About the Company

QuinStreet

Performance-based digital marketing & lead generation

QuinStreet operates online marketplaces that connect consumers with brands in insurance, personal loans, credit cards, banking, and home services. It runs performance-based digital marketing campaigns where brands pay only for measured actions like leads or clicks, as defined by Insertion Orders. The company uses segmentation and AI to target consumers and match them with relevant brands, with IOs detailing traffic type, volume, pricing, dates, and criteria. Its goal is to help brands achieve better marketing results and higher ROI by delivering qualified prospects through targeted, outcome-based campaigns.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Foster City, CA
Founded
1999

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