Hiring.Camp

Product Manager- Search

Glance

·

Today

Location
Bengaluru · Bangalore, Karnataka, India
Type
Full-time
Department
Glance AI - Product & UX
Seniority
Manager
Source
Greenhouse

Description

Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment.

Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping.

With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites.

Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital.

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 clear 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.

"Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email."

Skills

SQL

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