Senior Technical Product Manager – Search & Distribution
Company | Shutterstock |
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Location | New York, NY, USA, Dublin, Ireland |
Salary | $170000 – $190000 |
Type | Full-Time |
Degrees | |
Experience Level | Senior |
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
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No preferred qualifications provided.