Senior Product Manager (Licensed Data & Training Services Platform)

Join Shutterstock's Data Licensing and AI Services division as a Senior Product Manager. In this strategic and hands-on role, you will lead the development and execution of our Licensed Data & Training Services Platform, a crucial component of our AI Data Licensing & Services business. You will work closely with engineering, the ML team, and various business unit stakeholders to ensure successful platform launch and alignment with business objectives. The ideal candidate will have a strong background in product management, a deep understanding of multimedia dataset curation, and a passion for generative AI.

• Capturer les exigences, comprendre les besoins des clients et définir la portée de la nouvelle plateforme de services de données et de formation de Shutterstock.
• Exécuter la feuille de route et lancer avec succès la plateforme en partenariat avec l'ingénierie et l'équipe ML.
• Assurer l'alignement des priorités entre les sponsors des unités commerciales clés et comprendre en profondeur les besoins commerciaux.

• The ideal candidate is a design-savvy, data-informed, technically fluent Senior Product Manager with a strong understanding of customers’ model training and inference workflows and needs
• Track record of shipping B2B platform-based products
• Bachelor’s or Master’s degree in Product Management, Computer Science, AI, Business, or related field
• 5+ years in product management, ideally with SaaS, APIs, or AI-powered applications
• Ability to develop deep understanding of multimedia dataset curation and retrieval, including how metadata, taxonomy, lexical and semantic search, filtering/ranking, and relevance signals are used to assemble fit-for-purpose datasets for ML training and evaluation
• Proven success in stakeholder alignment across product, engineering, design, and go-to-market teams
• Experience managing products dealing with hyperscale data ingestion and processing (petabyte-scale multimedia datasets)
• Experience managing products that integrate with customer/partner ML training pipelines
• Deep understanding of data storage, ingress / egress, APIs, and metadata discovery / search
• Ability to balance customer needs with revenue goals
• Strong grasp of data governance for model training: provenance, rights/consent, auditability, retention, and policy enforcement
• Deep familiarity with customer ML workflows (multimodal/3D), including how teams consume datasets, human feedback, and evaluation results
• Fluency in data/metrics to drive product decisions
• Working knowledge of AI models, APIs, and cloud-based integrations
• Strong design instincts and ability to guide UX teams
• Competitive research mindset to benchmark implementations
• Customer-first orientation with enterprise and end-user empathy
• Skilled at aligning diverse stakeholders across engineering, design, product, sales, and marketing
• Excellent communicator across technical and executive audiences
• Ability to connect long-term vision with disciplined execution
• Passion for generative AI and rapid market evolution