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 it’s 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 opportunity
to 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 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