We are seeking an experienced Search Product Manager with strong expertise in Apache Solr-based search platforms to lead the strategy, roadmap, and delivery of enterprise search and discovery capabilities. This role will own the evolution of search products that enable customers and internal users to quickly discover relevant information, products, content, and knowledge of assets.

The ideal candidate has hands-on experience working with search technologies, search relevance optimization, information retrieval concepts, and large-scale search ecosystems. Experience partnering with engineering teams managing Apache Solr, search indexing, ranking, and query optimization is essential.

Key Responsibilities

- Search Product Strategy
- Define and execute the vision, strategy, and roadmap for enterprise search and discovery platforms.
- Drive initiatives that improve search relevance, retrieval accuracy, performance, and user satisfaction.
- Align search capabilities with business objectives and customer needs.
- Identify opportunities to enhance search experiences through AI, NLP, semantic search, and personalization.

Apache Solr Platform Ownership

- Own product requirements and prioritization for Apache Solr-based search infrastructure and capabilities.
- Partner with Search Engineering teams to optimize:
- Indexing strategies
- Query processing
- Relevance ranking
- Faceted search
- Synonym management
- Taxonomy management
- Search performance and scalability
- Drive enhancements to search architecture supporting large-scale content and data repositories.

Search Relevance & User Experience





- Improve search quality through relevance tuning and customer behavior analysis.
- Define strategies for:
- Search ranking optimization
- Auto-suggest and type-ahead
- Spell correction
- Faceted navigation
- Filtering and sorting
- Semantic search
- Personalized search experiences

Data & Analytics

- Define and monitor search performance KPIs.
- Analyze user behavior, search patterns, and content consumption trends.
- Drive experimentation and A/B testing to improve search effectiveness.
- Use data-driven insights to prioritize roadmap investments.

Cross-Functional Leadership

- Partner with Engineering, Data Science, UX, Analytics, Content Management, and Business stakeholders.
- Translate business requirements into detailed product requirements and user stories.
- Facilitate prioritization discussions and roadmap planning.
- Communicate product vision and outcomes to senior leadership.

AI-Powered Search Innovation

- Evaluate and introduce advanced search capabilities including:
- NLP-based query understanding
- Vector search
- Semantic retrieval
- Knowledge graphs
- LLM-powered search experiences
- Retrieval-Augmented Generation (RAG)

Collaborate with AI and Data Science teams on next-generation search initiatives.

Required Qualifications

Must Have

1.



5–10+ years of Product Management experience.
2. 3+ years of experience managing Search, Discovery, Information Retrieval, or Knowledge Management products.
3. Solid experience working with Apache Solr search platforms.

Understanding of:

- Search architecture
- Indexing and crawling
- Relevance ranking
- Search analytics
- Taxonomy and metadata management
- Faceted search
- Experience partnering closely with search engineering teams.
- Strong analytical and data-driven decision-making skills.
- Experience defining product strategy, roadmaps, and success metrics.
- Excellent stakeholder management and communication skills.

Preferred Qualifications

Experience with:

- Elasticsearch
- OpenSearch
- Lucene
- Coveo
- Algolia

Knowledge of:

- Semantic search
- Vector databases
- Embeddings
- NLP
- Machine Learning-based ranking
- AI-powered search solutions
- Experience in SaaS, Enterprise Software, E-commerce, Content Platforms, Knowledge Management, or Digital Experience domains.
- Technical background in Computer Science, Engineering, Data Science, or Information Retrieval.

AI Search (Preferred)

- Semantic Search
- Vector Search
- Embeddings
- NLP
- LLM-based Search
- RAG Architectures
- Knowledge Graphs

Product Management

- Product Strategy
- Roadmap Planning
- Agile Methodologies
- Product Discovery
- A/B Testing
- KPI Management
- Stakeholder Management

Education

- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Business, or related field.
- Master's degree preferred.

📌 Product Manager (Bengaluru)
🏢 Photon
📍 Bengaluru