Mid level e-Commerc Product Manager - Seach & Discovery

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

Approx start date – mid November 2026

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 rate increases 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 who participate 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 focused on helping guests browse, search and choose the right cruise for their vacation. The scope of this role includes owning the various landing page experiences, search/browse, and our cruise details page.

Responsibilities of this 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 on roadmap priorities. You'll work closely with a PM lead to shape and deliver on the 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 enhancements across all phases of the SDLC, including natural language search, query understanding, and improved results ranking and relevance.

Define requirements for search relevance — ranking signals, filters and facets, sort behavior, and handling of zero-result and low-result queries — in partnership with engineering and data partners.

Monitor search performance using dashboards 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 and ranking changes, partnering with analytics to define success metrics and guardrails before launch.

Triage and manage the day-to-day intake of feature 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 analyze root cause of reported issues and track fixes through resolution, from initial report to verification, while keeping requesting stakeholders updated 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-go checklists 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 browsing solutions.

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/AWS OpenSearch, 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, vector retrieval, intent classification, LLM-based query understanding), with a practical sense of where it improves the guest experience and where structured filters work better.

Working familiarity with agile/Scrum practices and tools like Jira and Confluence.

Fluency with data analytics and using data to identify and prioritize issues, not just report on them.

Strong written and verbal communication; able to coordinate confidently across multi-disciplinary and technical teams, and translate between business stakeholders and engineering.

AI native — skilled working with state-of-the-art AI tooling and interest in staying current with emerging technologies in this space.

Nice to have: similar and relevant Retail industry expereince is ideal. Also travel or hospitality industry experience, or search experience in a complex-inventory domain (dates, pricing, and availability) such as travel, ticketing, or real estate.