26 Aug
|
Glance
|
Bengaluru
What will you be doing
- Own the roadmap for one or more search capabilities across the end-to-end search stack, including query understanding, retrieval, ranking, filtering, and personalization.
- Define product requirements for search infrastructure and user-facing search experiences.
- Partner with AI/ML and Engineering teams to improve search relevance, semantic understanding, and recommendation quality.
- Analyze search behavior, identify friction points, and prioritize improvements using data and customer insights.
- Work on multimodal search experiences including text, image, and conversational AI.
- Collaborate with platform and feature teams to expose search capabilities across multiple consumer surfaces and partner integrations.
- Define success metrics and monitor search quality, engagement, and operational health.
- Drive experimentation through offline relevance evaluation and online A/B testing.
- Balance customer experience, business objectives, and platform scalability when prioritizing investments.
Key Requirements
- 3-6 years of Product Management experience, preferably in consumer technology or AI products.
- Strong analytical mindset with the ability to make data-driven product decisions.
- Experience working closely with engineering teams on technical products.
- Understanding of modern search concepts such as semantic search, vector retrieval, ranking, recommendation systems, or personalization.
- Familiarity with APIs, backend systems, and scalable product architecture.
- Experience using product analytics and experimentation to improve customer outcomes.
- Excellent communication and stakeholder management skills.
- Ability to simplify complex technical problems into transparent product requirements.
Preferred Requirements
- Experience building Search, Discovery, Recommendation, AI, or Marketplace products.
- Familiarity with information retrieval concepts such as query understanding, embeddings, retrieval, ranking, and relevance optimization.
- Exposure to Generative AI, LLMs, RAG, or agentic workflows.
- Experience working with SQL and experimentation platforms.
- Understanding of e-commerce or consumer shopping journeys.
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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Product Manager- Search (Bengaluru)
🏢 Glance
📍 Bengaluru