6 дней назад
Senior Product Manager, Licensed Data & Training Services Platform (AI)
170 000 - 190 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Product Manager, Licensed Data & Training Services Platform (AI): Building Shutterstock’s dataset discovery, curation, and orchestration platform for AI data licensing and training services with an accent on roadmap execution, ML workflow integration, and data governance. Focus on designing scalable handling for petabyte-scale multimedia datasets, defining metadata and search capabilities, and aligning engineering, design, business, and go-to-market stakeholders.
Location: New York City, New York; hybrid work
Salary: $170,000–$190,000 per year in New York
Company
provides creative content and data licensing services, including datasets and AI services for training, fine-tuning, and enhancing multimodal AI systems.
What you will do
- Define the strategy, requirements, roadmap, and phased delivery plan for the Licensed Data & Training Services Platform.
- Launch the platform in partnership with engineering and machine learning teams.
- Align priorities and business objectives across product, engineering, design, sales, marketing, and other stakeholders.
- Build and manage technical partnerships, integrations, supplier onboarding, documentation, reporting, and metrics.
- Research market trends, competitor products, and third-party vendor capabilities to inform roadmap decisions.
- Define platform performance benchmarks and improve capabilities across dataset discovery, curation, retrieval, and customer ML workflows.
Requirements
- Bachelor’s or Master’s degree in Product Management, Computer Science, AI, Business, or a related field.
- 5+ years of product management experience, ideally with SaaS, APIs, or AI-powered applications.
- Experience shipping B2B platform products and managing hyperscale data ingestion and processing, including petabyte-scale multimedia datasets.
- Experience integrating products with customer or partner ML training pipelines and understanding multimodal or 3D ML workflows.
- Knowledge of data storage, ingress and egress, APIs, metadata discovery, search, data metrics, and cloud integrations.
- Strong stakeholder alignment, communication, UX judgment, customer empathy, and understanding of data governance including provenance, rights, consent, auditability, retention, and policy enforcement.
Culture & Benefits
- Direct impact on the growth and evolution of ’s AI business.
- Executive leadership support for growth and career planning.
- Competitive pay aligned with industry standards.
- Health, wellness, financial, and other employee benefits.
- Equal opportunity employment and reasonable accommodation throughout the application and interview process.
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