Sr. Product Manager, Licensed Data & Training Services Platform

Shutterstock•New York City, NY

5d•Hybrid

About The Position

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. 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.

Requirements

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.
Track record of shipping B2B platform-based products.
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.
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.
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.
Working knowledge of AI models, APIs, and cloud-based integrations.
Fluency in data/metrics to drive product decisions.
Deep familiarity with customer ML workflows (multimodal/3D), including how teams consume datasets, human feedback, and evaluation results.
Strong design instincts and ability to guide UX teams.
Competitive research mindset to benchmark implementations.
Skilled at aligning diverse stakeholders across engineering, design, product, sales, and marketing.
Excellent communicator across technical and executive audiences.
Customer-first orientation with enterprise and end-user empathy.
Passion for generative AI and rapid market evolution.
Ability to connect long-term vision with disciplined execution.

Responsibilities

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.
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.
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.
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.