Your Rover resume, matched to the job ad
Drop in your resume and it opens next to this job, ready to tailor in one click.
4.8 from 167 in-app reviews
Product Manager - Search Experience
Rover · Seattle
Tailor your resume to this job
No account needed to start.
What Rover asks for
From Rover's Product Manager - Search Experience ad, checked 5 Nov 2026.
Search and recommendation features
At least 3 years of product management experience building search, content ranking, or discovery systems, including personalization and digital shopping features.
Data analysis and experimentation
Defining metrics and KPIs, running product experiments through A/B testing frameworks, and using SQL and dashboards to analyze results.
UX partnership and research
Working with design teams to build online tools, using user research and behavioral data to understand customers and guide product decisions.
AI tool proficiency
Using AI applications within your own work processes and finding ways to apply new technologies to help customers.
The ad asks for at least 3 years of product management experience. Candidates must live in the Seattle region or move there for office work. No degree requirement is listed.
How the example answers the ad
Data analysis and experimentation
“Conducted over 50 A/B tests on checkout pathways, resulting in a 4% improvement in conversion rate.”
Running over 50 A/B tests to improve a conversion rate shows the ability to execute product experiments.
UX partnership and research
“Partnered with UX design to refine mobile navigation, increasing mobile session duration by 8%.”
Collaborating with UX design to refine navigation shows the requirement for working with design teams to build online tools.
Search and recommendation features
“Led a cross-functional squad of 10 to overhaul the personalized Buy It Again discovery engine.”
Leading a squad to update this specific discovery engine provides evidence of experience with personalization and discovery systems.
AI tool proficiency
“Integrated large language model-based summarization tools to streamline customer support data analysis.”
Using large language model-based tools within professional data analysis tasks shows the required AI tool proficiency.
The whole example as text
Rajesh Kumar · Senior Product Manager
Summary
Product Manager with 6 years of experience driving growth in marketplace and gig-economy platforms. Leads search and discovery roadmaps for millions of daily active users. Leverages SQL and A/B testing to optimize conversion funnels and recommendation algorithms. Partners with designers to transform user research into digital shopping features while integrating generative AI tools to improve team documentation speed by 40%.
Experience
Senior Product Manager · Instacart
San Francisco, CA · 2024 - Present
- Optimized search ranking algorithms to boost gross merchandise value by 12% over 18 months.
- Led a cross-functional squad of 10 to overhaul the personalized Buy It Again discovery engine.
- Conducted over 50 A/B tests on checkout pathways, resulting in a 4% improvement in conversion rate.
- Integrated large language model-based summarization tools to streamline customer support data analysis.
- Collaborated with user research teams to reduce search abandonment by 15% through improved query understanding.
Product Manager · eBay
San Jose, CA · 2022 - 2024
- Managed the end-to-end launch of a cross-category search filter system impacting 200 million listings.
- Utilized SQL to extract behavioral patterns and identify high-friction points in product discovery.
- Reduced latency in search results by 200ms by optimizing backend indexing services with engineering leads.
- Partnered with UX design to refine mobile navigation, increasing mobile session duration by 8%.
- Designed experiment frameworks to measure the impact of price transparency features on buyer trust.
Associate Product Manager · TaskRabbit
San Francisco, CA · 2021 - 2022
- Increased search-to-booking conversion rates by 7% by refining relevance logic for local service providers.
- Directed the development of an automated task-matching notification system for freelance workers.
- Analyzed market data to adjust service category positioning, leading to a 5% increase in task fulfillment.
- Conducted user interview sessions to guide the design of the provider dashboard interface.
- Implemented data tracking schemas to monitor key performance metrics for geographic marketplaces.
Junior Product Analyst · Wayfair
Boston, MA · 2020 - 2021
- Supported the product discovery team by auditing search result relevance across furniture categories.
- Created automated dashboards to track daily search volume and CTR for top-performing product lines.
- Facilitated A/B test setups for UI experiments, tracking engagement metrics using internal BI tools.
- Synthesized customer feedback reports to prioritize feature requests for search filter enhancements.
- Collaborated with data engineering to resolve data quality issues within the product recommendation database.
Education
MS in Information Management · University of Washington
Seattle, WA · 2018 - 2020
- Completed capstone project focused on machine learning-based search relevance systems.
- Awarded Dean’s List honors for maintaining a 3.9 GPA throughout the program.
- Participated in advanced data visualization workshops utilizing SQL and Python libraries.
BS in Computer Science · University of California, Davis
Davis, CA · 2014 - 2018
- Graduated with honors in technical computer science concentrations.
- Served as a research assistant for human-computer interaction studies.
- Led a coding cohort project focused on full-stack application development.
Skills
More Rover roles like this one
Frequently asked questions
Is the example from an employee?
No. It is an AI-written example for this ad, made to show how a resume can answer it.
Is this role remote?
No. It is a hybrid role. You are expected to work from the Seattle office at least two days per week, specifically on Mondays and Thursdays.
Do I need experience with marketplaces?
The ad lists familiarity with consumer marketplace dynamics as a bonus rather than a requirement, though it notes the ideal candidate will understand two-sided marketplace challenges.
Where do I apply?
On the official Rover posting, through the job link on this page.
What happens when I tailor my resume here?
Your resume opens in the editor next to this job. Tailor it in one click, then keep or discard the edits. You only need an account to download.