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Mid level e-Commerc Product Manager - Seach & Discovery

Job in Seattle, King County, Washington, 98127, USA
Listing for: Zohorecruit
Full Time position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 7650 - 8500 USD Monthly USD 7650.00 8500.00 MONTH
Job Description & How to Apply Below

Seattle, United States

Redtech is helping our client with a Contractor search for a Mid level e-Commerce Product Manager with strong experience in Search & Discovery.

Duration – 6 months (extensions are possible)

Location – Greater Seattle, WA area. This role is mostly remote with 2-3 days/month onsite.

Contract Pay Rate - $7,650 - $8,500/month ($45-50/hr W2) DOE– this rate assumes full benefit participation. Pay r ateincreases if benefits are declined

Benefits – (all are based on eligibility)

Choice of 2 Medical/RX insurance plans from Premera (Blue Cross/Blue Shield national network)

Paid Time Off (PTO)

401(k) plan with company match

Company paid Life/AD&D insurance for employees whoparticipate in medical insurance

Must be able to successfully pass a background check

About the role

Our CLIENT is looking for a contract Product Manager to support their search and discovery experiences. This role is focusedon helping guests browse, search and choose the right cruise for theirvacation. The scope of this role includes owning the various landing pageexperiences, search/browse, and our cruise details page.

Responsibilities ofthis role include analyzing product usage data to inform decision making,collaborating with design and engineering partners to shipping new features and capabilities, triaging bugs, conducting UAT, and engaging with stakeholders onroadmap priorities. You'll work closely with a PM lead to shape and deliver onthe product roadmap for your area; seeking feedback and input throughout the discovery and delivery process. We value candidates who are execution-oriented role where attention to detail, self-agency, and cross-team collaboration are critical to success.

What

you'll do
  • Deliver on search feature enhancementsacross all phases of the SDLC, including natural language search, queryunderstanding, and improved results ranking and relevance.
  • Define requirements for search relevance —ranking signals, filters and facets, sort behavior, and handling ofzero-result and low-result queries — in partnership with engineering anddata partners.
  • Monitor search performance usingdashboards and ad hoc analysis (e.g., search-to-details conversion,zero-result rate, filter usage, query reformulation), and use findings to prioritize the backlog.
  • Plan and read A/B tests for search andranking changes, partnering with analytics to define success metrics and guardrails before launch.
  • Triage and manage the day-to-day intake offeature requests, bugs, and issues flagged by stakeholders, partner teams,and QA, and groom the backlog as it aligns to top-level business priorities.
  • Partner with engineering teams to analyzeroot cause of reported issues and track fixes through resolution, from initial report to verification, while keeping requesting stakeholdersupdated on status.
  • Support user acceptance testing and release readiness by defining and verifying acceptance criteria,coordinating testing efforts across partner teams, and managing go/no-gochecklists ahead of launches.
  • Maintain clear product documentation of requirements, decisions, and processes in Confluence and Jira.
What we're looking for
  • 3-5 years of experience as a product manager in a consumer facing product role at a large enterprise company,with hands-on experience delivering search, discovery, or browsingsolutions.
  • Working knowledge of how search systems work — indexing, query parsing, relevance tuning, and faceted navigation —and experience with at least one search platform (e.g., Elasticsearch/AWSOpenSearch, Lucidworks Fusion, Algolia, Coveo, Bloomreach).
  • Experience measuring search quality and running experiments — A/B testing, click-through and conversion metrics,and relevance measures such as NDCG or MRR.
  • Exposure to AI-powered and semantic search(e.g., embeddings,…
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