Synced from Greenhouse · Oct 26

AI Product Manager

QuinStreetUnited StatesPosted Oct 26, 2026
Product ManagerSenior
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Mirrored from QuinStreet's own Greenhouse careers system · refreshed hourly

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Oct 26
Posted
Greenhouse
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Job descriptionReq 8315940

Powering Performance Marketplaces in Digital Media

QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and “research and compare” consumers with brands. We run these virtual- and private-label marketplaces in one of the nation’s largest media networks.

Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results.

Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.

We believe in:

  • The direct measurability of digital media.
  • Performance marketing. (We pioneered it.)
  • The advantages of technology.

We bring all this together to deliver truly great results for consumers and brands in the world’s biggest channel.

 

Job Category

QuinStreet Modernize Home Services is looking for 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.

In this role, you will own the strategy and execution of products that enable our homeowners to discover contractors, request quotes, and connect with service providers directly through AI-driven conversations.

This is a zero-to-one product opportunity with direct business impact, working closely with Engineering, Marketing, Legal, and Integrations teams to build scalable, compliant, and revenue-generating solutions.

 

Responsibilities:

  • Lead the product strategy, roadmap, and execution for AI-powered conversational experiences and integrations.

  • Own the development of MCP (Model Context Protocol) 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 the 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.

 

Required qualifications

  • 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.

Preferred 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.

 

The expected salary range for this position is $120,000 USD to $140,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission. This position is eligible to participate in the Company’s standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits.

QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law.

Please see QuinStreet’s Employee Privacy Notice here and EU/UK Candidate Privacy Notice here. 

 

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What applying to QuinStreet usually looks like

Based on publicly available information, candidates applying through greenhouse can typically expect a structured online application process involving a resume submission and, in many cases, screening questions tailored to the role. QuinStreet's listings span technical, sales, and marketing functions, so applicants should anticipate that the process may vary somewhat depending on the specific position. Generally, candidates can expect an initial recruiter or HR screening, followed by one or more interview stages that may include conversations with hiring managers or team members relevant to the role. Technical or role-specific assessments may also be part of the process for certain positions, such as engineering or data-focused roles. Communication is commonly conducted via email or phone, and response times vary depending on the volume of applicants and the urgency of the hire. Candidates are encouraged to monitor their email, including spam folders, for updates throughout the process.

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AI Product Manager
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