Data Product Manager

The Opportunity:

The Data Product Manager will play a key role in developing, managing, and optimizing multimodal data products that drive Shutterstock's data licensing initiatives. This individual will be responsible for defining the strategy, roadmap, and execution of data-related products, ensuring high-quality datasets, metadata enrichment, and monetization models that help scale our substantial multimodal data licensing business. The ideal candidate will have a strong understanding of data science, machine learning workflows, and data monetization strategies, as well as experience working cross-functionally with engineering, data science, and business teams.

Responsibilities:

Data Strategy & Roadmap

• Help define and execute a product strategy for data acquisition, enrichment, standardization, and monetization.

• Develop and maintain a roadmap for data products, aligning with business goals and AI model development needs.

• Identify new opportunities for leveraging data to support AI applications and commercial offerings.

Data Product Development & Packaging

• Oversee the collection, structuring, and distribution of proprietary and large-scale datasets to support generative AI training and fine-tuning.

• Work with data engineers and scientists to automate data ingestion, cleaning, labeling, and augmentation processes.

• Develop metadata enrichment and validation pipelines to enhance dataset usability for AI developers.

• Manage the standardization of complex datasets for easier integration into ML models and APIs.

Data Monetization & Licensing

• Develop subscription-based data products that provide ongoing value to AI developers and enterprises.

• Define pricing strategies for licensing data, ensuring competitive positioning in the market.

• Partner with sales and partner management teams to market and sell data products effectively.

Cross-Functional Collaboration

• Work closely with engineering and AI research teams to define data requirements and ensure datasets meet customer model training needs.

• Collaborate with legal and compliance teams to ensure all data products meet regulatory, ethical, and privacy standards.

• Partner with marketing and sales to build awareness and adoption of data products among AI developers and enterprises.

Customer & Market Insights

• Partner with content strategy to conduct user research and analyze market trends to identify high-value datasets that meet industry-specific AI needs.

• Develop and track key performance indicators (KPIs) for data product adoption, usage, and revenue growth.

• Gather feedback from customers and partners to continuously improve data offerings.

Qualifications & Experience:

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, AI, Business, or a related field.

• Experience: 5+ years of experience in product management, data strategy, or a related role within AI, data science, or machine learning.

• Strong understanding of multimodal AI/ML workflows, data collection, preprocessing, and fine-tuning.

• Experience managing large-scale datasets, data pipelines, and cloud-based data platforms.

• Knowledge of data licensing, compliance, and privacy regulations (e.g., GDPR, CCPA).

• Experience with data monetization and building subscription-based data products is a plus.

• Strong knowledge of AI/ML datasets, data engineering, and data quality best practices.

• Familiarity with cloud data platforms (AWS, Google Cloud, Azure) and data processing tools.

• Ability to define KPIs and analyze data product performance.

• Proven ability to translate business needs into data-driven product strategies.

• Experience building and scaling data products for enterprise or developer customers.

• Ability to assess market demand and pricing models for data licensing.

• Excellent written and verbal communication skills to bridge the gap between technical and non-technical teams.

• Strong stakeholder management and the ability to collaborate across engineering, AI research, legal, and sales teams.

• Ability to present complex data strategies to executives, collaborative teams, and key partners.

Why Shutterstock:

At Shutterstock, you will be part of an innovative and collaborative team that values creativity and forward-thinking. This is an exciting opportunity to shape the future of digital content and technology solutions, driving success for both our clients and Shutterstock.

• You have a direct impact on the success of the company. Your team’s work matters and is essential to the evolution of our core business!

• Executive leadership cares personally. They prioritize growth and planning your career path with your goals and passions in mind.

• Flexibility to work between home and office with everything you need to be successful in both

• A generous and competitive benefits package.

Shutterstock connects diverse artists and creative professionals around the globe with the agencies, brands and people who need their work and services. It’s a place where creators come to be inspired and discover new ways to produce their best work.

Shutterstock enables its employees to drive culture and tap into the world around them to develop the toolbox and solutions that help others share their world views. At Shutterstock, your ideas will be welcomed, your uniqueness will be celebrated, and you will be  supported in presenting your view of the world as you  experience it. We’re champions of resiliency;  quickly learning from our shortcomings in our pursuit of continuous growth.

Diverse teams are critical to our success. We encourage people from different backgrounds to apply and we commit to creating and maintaining a culture where employees know they belong and have equal opportunities to succeed.

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Shutterstock Values

We are one team collectively focused on creating an unrivaled experience for our Customers and Contributors. Our Values represent the mindset of the employee who will thrive at Shutterstock.  If you are passionate about what you do, and want to become part of a cutting-edge technology company building industry leading products, please apply.

Shutterstock is an Equal Opportunity Employer. Suitably qualified and eligible candidates are encouraged to apply  regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

Shutterstock ensures that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.  Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [email protected].