Senior Product Manager (Licensed Data & Training Services Platform)

Shutterstock's Data Licensing and AI Services division helps organizations source, curate, and license high-quality creative datasets for training, fine-tuning, and enhancing multimodal AI systems We are looking for a Senior Product Manager to lead the strategy and execution of our Licensed Data & Training Services Platform This platform will be the backbone of our AI Data Licensing & Services business: a dataset discovery, curation, and orchestration layer that helps customers and partners manage and access data licensing and services This is both a highly strategic and hands-on role The Senior Product Manager must balance roadmap execution, design leadership, market awareness, and stakeholder alignment to ensure Shutterstock successfully builds its new Licensed Data & Training Services Platform Product & Roadmap Leadership Capture requirements, understand customer needs and scope Shutterstock's new Licensed Data & Training Services Platform Execute roadmap and successfully launch the Licensed Data & Training Services Platform in partnership with core engineering and the ML team Understand and execute a logical phased approach that balances speed-to-market with core needs and also appropriately tiers our approach across internal teams and customer needs Stakeholder Management & Strategic Alignment Ensure alignment of priorities across key business unit sponsors and engage in deep understanding of business needs such that roadmap reflects impact and business objectives Partner closely with all business unit stakeholders to ensure the platform strategy is well understood, removing any friction from achieving build and launch milestones and timelines Act as a bridge between engineering and the rest of the team, always ensuring clear understanding of new capabilities, timelines, value propositions, and competitive positioning Partner & Market Engagement Identify and maintain partnerships with key technical and other partners to ensure seamless and rapid integration as defined and appropriate Track industry trends, evaluate competitor products, and research third-party vendor capabilities to inform roadmap decisions Facilitate onboarding and related documentation for content suppliers including reporting and other metrics that drive these key strategic partnerships Technical & Analytical Contribution Understand the AI model training lifecycle and the natural Shutterstock touchpoints with customers to deliver value and relationship expansion Define and document benchmarks for platform performance and continually enhance and improve capabilities to ensure the business is maximizing its opportunity Benefits Flexibility: We offer a hybrid model that’s centered around flexibility and enabling collaboration, innovation, and accountability-no matter where we are. Connection: Whether online or on site, we make sure there are plenty of ways to connect and have fun. Recognition: We never miss an opportunityto celebrate our achievements and commend great work through our global recognition program. Empowerment: We offer generous and competitive compensation packages, PTO, wellness initiatives, on-and-off working hours, tuition reimbursement, and an employee referral bonus. Growth: Our SkillUP Program lets you take ownership of your personal development through virtual learning offerings. Belonging: Our goal is to build a workforce that’s representative of the diverse global community we serve, and where all employees can come to work as their authentic selves. 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 needsTrack record of shipping B2B platform-based productsBachelor’s or Master’s degree in Product Management, Computer Science, AI, Business, or related field5+ years in product management, ideally with SaaS, APIs, or AI-powered applicationsAbility 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 evaluationProven success in stakeholder alignment across product, engineering, design, and go-to-market teamsExperience managing products dealing with hyperscale data ingestion and processing (petabyte-scale multimedia datasets)Experience managing products that integrate with customer/partner ML training pipelinesDeep understanding of data storage, ingress / egress, APIs, and metadata discovery / searchAbility to balance customer needs with revenue goalsStrong grasp of data governance for model training: provenance, rights/consent, auditability, retention, and policy enforcementDeep familiarity with customer ML workflows (multimodal/3D), including how teams consume datasets, human feedback, and evaluation resultsFluency in data/metrics to drive product decisionsWorking knowledge of AI models, APIs, and cloud-based integrationsStrong design instincts and ability to guide UX teamsCompetitive research mindset to benchmark implementationsCustomer-first orientation with enterprise and end-user empathySkilled at aligning diverse stakeholders across engineering, design, product, sales, and marketingExcellent communicator across technical and executive audiencesAbility to connect long-term vision with disciplined executionPassion for generative AI and rapid market evolution #J-18808-Ljbffr Shutterstock