Manager - Search Ops

Confidence can sometimes hold us back from applying for a job. Here’s a secret: there's no such thing as a "perfect" candidate. Poshmark is looking for exceptional people who want to make a positive impact through their work and help create an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day.

Job Description:

Are you passionate about improving how people search and discover products online? Do you enjoy diving into data, refining systems, and driving cross-functional outcomes that directly impact business performance?

Poshmark is looking for a Search Operations Manager to power the intelligence behind our platform’s search experience. In this role, you’ll be at the intersection of data, technology, and shopper experience—building the operational backbone that fuels product discovery and personalization for millions of users.

What You’ll Be Doing

1. Search Quality Management:
Own and improve the accuracy, relevance, and success of Poshmark’s search experience. Manage rating workflows, identify broken queries, and continuously raise the bar on user experience

2. Manage and collaborate closely with a team of analysts and human raters to:

• Define clear rating guidelines and performance benchmarks that reflect evolving business goals and user expectations.

• Establish end-to-end processes for query evaluation, including task creation, priority setting, QA checks, and performance monitoring.

• Implement scalable review systems that maintain data consistency across high query volumes and varied product categories.

• Train and mentor analysts/raters, fostering a shared understanding of relevance, intent, and shopper behavior.

• Continuously refine workflows based on new product features, algorithmic changes, or emerging search trends—ensuring alignment with personalization and AI/ML strategies.

3. Leverage tools and automation to reduce manual overhead, while maintaining tight controls on accuracy, completeness, and data hygiene.

4. Keyword & Query Optimization - Analyze performance of high-volume queries, optimize synonym libraries, reduce zero-result searches, and ensure smarter results through curated dictionaries and keyword tuning.

5. Catalog & Metadata Enhancement - Partner with merchandising and product teams to ensure structured, complete, and high-quality product data—fueling our AI/ML-driven personalization features.

6. Search Funnel Analytics - Define KPIs across the search journey (from impression to conversion), own dashboards, and deliver insights that shape product and operations strategy. Align with leadership and industry trends to build and operationalise strategies
7. Tooling & Automation: Evangelise and drive the need for internal tools that improve and automate processes. Work closely and operationally (hands on approach) with engineers and PMs to scope, execute internal tools that increase operational efficiency. 

8. Collaborating closely with a team of analysts and human raters to:

• Define clear rating guidelines and performance benchmarks that reflect evolving business goals and user expectations.

• Establish end-to-end processes for query evaluation, including task creation, priority setting, QA checks, and performance monitoring.

• Implement scalable review systems that maintain data consistency across high query volumes and varied product categories.

• Train and mentor analysts/raters, fostering a shared understanding of relevance, intent, and shopper behavior.

• Continuously refine workflows based on new product features, algorithmic changes, or emerging search trends—ensuring alignment with personalization and AI/ML strategies.

• Leverage tools and automation to reduce manual overhead, while maintaining tight controls on accuracy, completeness, and data hygiene.
   

9. Stakeholder Management: Drive alignment on strategic vision with key stakeholders, translating plans into focused execution. Proactively assess outcomes, course-correct in real time, and integrate feedback seamlessly. Operate with urgency and precision—monitoring progress, anticipating risks, and communicating proactively to maintain momentum, clarity, and engagement across teams and leadership.
 

You'll collaborate closely with:

• Search PM teams to align operational priorities with roadmap goals.

• Merchandising and Catalog Ops to clean and structure product data.

• Analysts and raters to build workflows that scale with quality.

• Data Science & ML teams to improve personalization accuracy with better data inputs.

• Business stakeholders to establish and align goals, report progress and prioritize action items.
   

You Might Be a Great Fit If You Have:

• 7–8 years in Search Ops, Catalog Ops, Product Operations, in e-commerce or marketplaces.

• Hands-on experience managing search query quality, taxonomy, or metadata enhancement.

• Strong analytical and reporting skills (Excel/Sheets, SQL, or visualization tools like Looker/Tableau).

• Experience working across time zones in fast-paced, cross-functional environments.

• Bonus: Familiarity with U.S. fashion retail and merchandising, marketplace platforms, or search engine rating systems.

Search is one of Poshmark’s most powerful engines for growth. You’ll play a central role in shaping how users find products, how well our personalization models perform, and how we scale discovery experiences to millions of shoppers.

If you’re excited by the challenge of optimizing millions of daily search interactions—and making a measurable impact —we’d love to meet you.

Poshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

View Poshmark's Job Applicant Privacy Policy here.