Senior AI Search Product Manager

Seattle, WA (Hybrid)

$124K/yr – $271K/yrSenior Level5+ years expFull time

Posted 2 weeks ago

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Job Summary

Own a data driven, end-to-end search product in a hands-on role that blends traditional search with AI powered capabilities to improve relevance, quality and user satisfaction across products.

  • Own the search product roadmap and prioritize improvements based on relevance metrics and user research.
  • Lead AI powered features including semantic search, query understanding and multi modal experiences with engineering and data science partners.
  • Coordinate cross functional work across research, design, analytics and platform partners to improve engagement and performance.

Job Description

Responsibilities

  • Shaping end-to-end search product direction through data-driven insights, user research, and deep technical engagement with a focus on relevance metrics, search quality, and user satisfaction
  • Leading product strategy for AI-powered search capabilities including semantic search, query understanding, personalization, and multi-modal search experiences
  • Partnering closely with engineering and data science teams to design and implement search algorithms, ranking models, and relevance optimization systems
  • Ensuring search experiences meet performance, scalability, and quality standards while maintaining intuitive user interfaces and seamless integration across products
  • Orchestrating cross-functional initiatives across research, engineering, design, and analytics teams to continuously improve search effectiveness and user engagement
  • Driving technical partnerships and integrations with search infrastructure providers and AI/ML platforms to enhance search capabilities and expand feature offering

Requirements

  • Have bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Need 5 to 8 years of experience as a Product Manager with deep expertise in search technologies, information retrieval, and AI/ML applications
  • Demonstrate track record in building and scaling search products with proven experience in implementing AI-powered search features and optimization strategies
  • Have experience presenting to stakeholders and executives with the ability to articulate search quality improvements, user impact, and business value
  • Need to have proficiency with product analytics and optimization of search relevance metrics including click-through rates, conversion rates, and user engagement
  • Have understanding of search technologies, NLP, ranking algorithms, and the competitive landscape in AI-powered search solutions

Benefits

  • Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.
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Maven

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Founded in 2020
Remote, Oregon, USA
317 employees (40 in marketing)

Traffic Signals

Monthly Visitors
660.6K
Monthly Google Ads Budget
$36
Traffic Source Mix
Search
27.9%
Direct
58.8%
Referral
7.5%
Social
5.1%
Paid
0.5%

Headcount Trend

Current headcount: ~319

Marketing Team

Marketing Team Size
23 (7% of company)
Marketing Roles Posted (Last 30 Days)
6

Funding

Total Funding
$25.1M
Last Raise
$20M
Series A, 5 years ago

Funding History

  • May 2021
    Series A • $20M
  • Jan 2021
    Equity Crowdfunding • $750K
  • Nov 2020
    Seed • $4.3M

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