Head of Search and Discovery
Career GuideKey Responsibilities
- Set the vision and roadmap for search and discovery experiences
- Define success metrics and track performance over time
- Improve search relevance and result quality
- Guide recommendation strategy and personalization approach
- Own browsing and navigation structure to improve findability
- Partner with Engineering to ship ranking and retrieval improvements
- Partner with Data Science to test models and measure impact
- Run experimentation programs to validate changes
- Create a content and metadata strategy to improve indexing quality
- Manage stakeholder expectations and communicate tradeoffs
- Build and lead a cross functional team
- Ensure privacy and responsible data use in personalization
Top Skills for Success
Product Strategy
Customer Research
Stakeholder Management
Team Leadership
Roadmap Prioritization
Experiment Design
Search Relevance Evaluation
Ranking Strategy
Recommendation Strategy
Information Architecture
Metadata Strategy
Data Fluency
Metric Definition
Query Understanding
Content Moderation Policy
Career Progression
Can Lead To
VP Product
Chief Product Officer
Head of Product Platform
Head of Personalization
Head of Data Products
Transition Opportunities
Director of Product Management
Director of Data Science
Director of Growth
Head of Platform Engineering
Common Skill Gaps
Often Missing Skills
Offline Evaluation MethodsExperimentation GovernanceData Labeling StrategyModel MonitoringSearch AnalyticsCatalog Quality ManagementPersonalization SafetyVendor Management
Development SuggestionsBuild comfort with how relevance is measured, how experiments are designed, and how models are monitored in production. Practice turning business goals into measurable search and recommendation metrics, and develop a repeatable process for improving data quality through metadata and labeling.
Salary & Demand
Median Salary Range
Entry LevelUsually not applicable as a first role; most hires come in at experienced manager level
Mid LevelUS$190,000 to US$270,000 base salary, often with bonus and equity
Senior LevelUS$260,000 to US$400,000 plus bonus and equity
Growth Trend
Demand is strong and steady, driven by ecommerce growth, media streaming competition, and increased investment in personalization and AI powered search. Hiring is most active at companies with large catalogs and high traffic products.Companies Hiring
Major Employers
AmazonGoogleMicrosoftAppleNetflixSpotifyMetaByteDanceWalmartTargeteBayEtsyDoorDashUberAirbnbBooking.comShopifySalesforceAdobe
Industry Sectors
EcommerceMarketplacesStreaming mediaSocial platformsTravel and hospitalityFood deliveryRetailEnterprise softwareEdtechFintech
Recommended Next Steps
1
Audit the current search and discovery experience and document top customer pain points2
Create a metric framework covering relevance, engagement, conversion, and satisfaction3
Establish an experimentation program with clear decision rules4
Partner with Data Science to define an offline evaluation scorecard5
Define a catalog and metadata improvement plan with ownership and timelines6
Map the end to end search journey and prioritize the highest impact fixes7
Draft a one year roadmap with tradeoffs, risks, and staffing needs8
Build a talent plan covering Product, Engineering, Data Science, and Content Operations