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Open nowPosted 27 days ago

Director, Product Management, AI Data Platform

Shutterstock6 open roles

Where
New York City
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Your applicationOpen nowDirector, Product Management, AI Data PlatformShutterstock · New York City

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The clock on this job

Early applications get read.

9.0% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.9%3 days
  3. 9.0%7 days
  4. 15.5%14 days
  5. 34.1%30 days
This job: posted 27 days ago

The posting

We are seeking a Director of Product Management to join Shutterstock’s Data Licensing & AI Services team and lead the strategy, customer experience, and development of Shutterstock’s AI Data Platform. This platform will make Shutterstock’s growing portfolio of multimodal data easy for AI developers and enterprises to discover, evaluate, and access for model training, inference, and emerging AI applications.

As we scale our AI data business, this role will own the platform experience, partnering closely with our Data Products lead who owns the data and offerings that power it. Together, these teams will connect Shutterstock’s expanding data supply with customer demand and create a scalable, differentiated experience for discovering and accessing data.

This leader will partner deeply with engineering, design, AI/ML, and commercial teams to translate customer needs and business opportunities into a clear platform strategy and roadmap, leading the platform from its initial build through continued expansion and adoption.

Product Strategy & Customer Experience

  • Own the Platform Vision: Define and drive the product strategy and roadmap for Shutterstock’s AI Data Platform, balancing near-term customer opportunities with the capabilities required to build a scalable long-term business
  • Own the Customer Experience: Define intuitive, end-to-end experiences for how AI developers, researchers, data teams, and enterprises discover, understand, evaluate, access, and integrate data into their workflows
  • Connect Data Products to Customer Experience: Partner closely with our Data Products lead to translate Shutterstock’s growing portfolio of offerings into compelling discovery, evaluation, and access experiences
  • Make Clear Product Decisions: Establish what matters now, what can wait, and where we need to learn, making clear tradeoffs even when information is incomplete
  • Build & Lead the Team: Build and develop a high-performing platform product team, evolving the organization and capabilities needed to scale the platform and business

Platform & Engineering Execution

  • Lead Platform Product Direction: Drive product direction across search and discovery, customer evaluation, AI-assisted experiences, APIs and feeds, workspaces, data access, and delivery
  • Guide Engineering Execution: Translate customer and business needs into clear priorities and product decisions that allow engineering and design teams to move with speed and confidence
  • Partner on Technical Strategy: Work closely with senior engineering and technology leaders on architecture and technical tradeoffs, ensuring technology investments support the customer experiences and use cases we are building toward
  • Drive Iterative Delivery: Know when deeper discovery is required and when to make the best available bet, ship, learn, and improve

AI, Market & Business Impact

  • Build AI-Native Experiences: Identify where AI, agentic capabilities, and automation can simplify data discovery, evaluation, access, and other complex customer workflows
  • Extend the Platform Ecosystem: Identify opportunities to bring Shutterstock data into the platforms, marketplaces, and AI workflows where developers build, including through APIs, integrations, and strategic product partnerships
  • Connect Product and Market: Work closely with customers, Sales, Business Development, and other key stakeholders to translate market demand into scalable platform capabilities
  • Shape the Platform Business Model: Define how customers access and engage with the platform and identify opportunities for platform-level monetization
  • Own Platform Product Outcomes: Establish clear measures of success and use customer feedback, usage, and business results to continuously evolve the platform

Qualifications

  • Proven Product Leadership: 8+ years of product management experience leading and scaling complex products across data, developer, enterprise software, or AI
  • AI-Powered Prototyping: Demonstrated ability to leverage AI tools, including ChatGPT and similar technologies, to accelerate product discovery and design by creating prototype workflows and clickable front-end concepts. Works effectively with UX to refine requirements, visualize interactions, and communicate product intent before full engineering build-out
  • Zero-to-One Experience: Demonstrated success taking major products or platforms from ambiguity and concept through launch, customer adoption, and iteration
  • Product Judgment & Bias for Action: A track record of making clear product decisions and tradeoffs with incomplete information, enabling teams to move quickly, learn, and iterate
  • Customer Experience Leadership: Strong customer instincts and experience translating sophisticated workflows and unmet needs into intuitive, scalable product experiences
  • Technical Fluency: Strong understanding of modern data and platform concepts—including APIs, search and retrieval, data pipelines, cloud platforms, and AI/ML systems—with the ability to effectively lead and influence senior technology teams
  • Relevant Platform Experience: Experience with AI/ML platforms, data platforms, developer products, search and discovery, data marketplaces, or large-scale content platforms strongly preferred
  • Executive Leadership: Strong communication and influencing skills with the ability to create alignment across technical, product, commercial, and executive stakeholders

#LI-MS1

At Shutterstock, we are committed to providing competitive pay and benefits that are in line with industry standards. The compensation package offered may vary depending on employment experience, skills, and knowledge. You may also be eligible for our generous benefits package including health, wellness and financial benefits. Compensation ranges for candidates in locations outside of the location(s) below may differ based on the cost of labor, market, and additional factors.

The pay range for this position is below:

• 220,000 - 240,000 per year in New York

Note: Commission-eligible roles are expressed as on-target earnings (base and commission). Non-commission roles are expressed as base salary only but are also eligible for annual incentives.

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].

The referenced salary range is based on the Company’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

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