Skills this job asks for
Product managementLLMsLead generationComplianceCRMStakeholder managementSQL
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 18 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Quinstreet INC paid sponsored hires in similar roles1 certified filing for “Associate Account Manager” (Operations Research Analysts) in CA: $82k–$82k, median $82k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 18 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Quinstreet INC paid sponsored hires in similar roles
- 1 certified filing for “Associate Account Manager” (Operations Research Analysts) in CA: $82k–$82k, median $82k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
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:
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Lead the product strategy, roadmap, and execution for AI-powered conversational experiences and integrations.
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Own the development of MCP (Model Context Protocol) capabilities and APIs that connect external AI assistants with contractor services.
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Design and optimize conversational customer journeys across WhatsApp, RCS, and other messaging platforms.
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Drive the development of LLM-powered solutions for homeowner qualification, contractor matching, and lead generation.
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Partner with Legal and Compliance teams to ensure appropriate consent capture, data privacy, and regulatory compliance.
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Collaborate with Engineering to define technical requirements, evaluate product performance, and deliver scalable solutions.
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Work with integration teams to connect qualified leads with contractor CRM, scheduling, and dispatch systems.
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Define and monitor product KPIs, including conversion rates, lead quality, AI performance, and revenue impact.
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Identify opportunities to expand AI-powered distribution channels and strategic platform partnerships.
Required qualifications
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5+ years of Product Management experience, including ownership of complex technical products.
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2+ years of experience managing AI/Chatbot, LLM or similar products.
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Proven experience launching LLM-powered or generative AI products into production.
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Strong understanding of AI agents, MCP, function calling, or similar AI integration frameworks.
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Experience working with messaging platforms such as WhatsApp Business, RCS, or SMS.
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Familiarity with TCPA regulations, consent management, and compliance requirements for customer communications.
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Experience leading zero-to-one product initiatives, from strategy through launch and optimization.
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Strong technical aptitude and ability to collaborate effectively with engineering teams.
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Excellent stakeholder management, communication, and analytical skills.
Preferred qualifications
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Experience in lead generation, marketplaces, home services, or conversational commerce.
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Familiarity with AI assistant ecosystems such as OpenAI, Anthropic, or Google
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