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Senior Technical Product Manager – Search & Distribution

Senior Technical Product Manager – Search & Distribution

CompanyShutterstock
LocationNew York, NY, USA, Dublin, Ireland
Salary$170000 – $190000
TypeFull-Time
Degrees
Experience LevelSenior

Requirements

  • 5+ years of experience in technical, data-driven product management, with a focus on internal products and platforms.
  • 3+ years of experience managing modern search technologies (e.g., Elasticsearch, Solr, OpenSearch) and implementing advanced search strategies.
  • Proven expertise in leveraging embedding models, vector search, and machine learning to enhance search capabilities and content discovery.
  • Strong understanding of search indexing, ranking algorithms, relevance tuning, with a focus on improving discoverability and efficiency across large-scale catalogs.
  • Proven ability to lead cross-functional teams to deliver impactful, data-driven products that optimize internal workflows and distribution strategies.
  • Familiarity with large language models (LLMs) and their applications in improving semantic search, query understanding, and multilingual search optimization.
  • Analytical mindset with the ability to use data and forecasting to build business cases, measure performance, and inform decision-making.
  • Excellent communication and stakeholder management skills, capable of engaging senior leaders across multiple departments.
  • Familiarity with Agile methodologies, sprint planning, and backlog management.

Responsibilities

  • Define and execute the product strategy and roadmap for core content distribution channels ensuring scalability and alignment with business objectives.
  • Create and execute a roadmap that enhances the content distribution experience and drives platform growth, focusing on intuitive internal tooling and revenue-driving capabilities.
  • Oversee the design and enhancement of search capabilities for internal platforms, focusing on indexing, ranking, filtering, and relevance tuning to improve discovery and efficiency.
  • Collaborate with AI, data science, and engineering teams to incorporate advanced analytics, machine learning, and computer vision insights into distribution workflows.
  • Collaborate closely with the Director of Engineering and other cross-functional partners to develop strategies for scaling all content distribution needs.
  • Maintain a deep understanding of industry trends in search, metadata management, and content platforms to inform strategic decision-making.
  • Leverage data and machine learning signals to align content distribution with demand and signals, optimizing for internal customers and businesses and their revenue and market needs.
  • Act as a liaison between internal content producers, distribution teams, and operational stakeholders, aligning goals and facilitating seamless communication.
  • Develop and own a backlog of user stories, prioritizing features based on business value and impact while collaborating with engineering on sprint planning and delivery.

Preferred Qualifications

    No preferred qualifications provided.