AI Product Owner Jobs in New York
AI Product Owner jobs in New York represent one of the most active markets in the country, with demand concentrated in fintech, media, healthcare technology, and enterprise software across seniority levels from associate product owner through director. New York City anchors the bulk of hiring, with secondary clusters in Albany and Buffalo where state government agencies and regional tech firms operate. Well-established employers with lasting New York footprints include JPMorgan Chase, Verizon, and IBM, with the strongest demand in AI-driven product strategy, machine learning platform ownership, and conversational AI. Find a role that fits below and apply directly.
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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, accommodation_request@shutterstock.com.
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.
See All 112+ AI Product Owner Jobs in New York
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Find AI Product Owner JobsAI Product Owner Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI Product Owner Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software11
- Insurance2
- Food & Beverage2
- Law & Legal Services1
- Marketing & Advertising1
What New York Employers Look For
The qualifications that appear most often in AI product owner jobs across New York.
- Bachelor's degree in computer science, engineering, business, or a related field
- Proven experience defining AI or machine learning product roadmaps end to end
- Familiarity with agile frameworks including Scrum and SAFe in cross-functional teams
- Ability to translate complex AI model outputs into clear business requirements
- Experience working with data science and engineering teams on model deployment
- Strong stakeholder communication skills bridging technical teams and business leadership
AI Product Owner Jobs in New York: Frequently Asked Questions
How do you become a ai product owner in New York?
There is no state-issued license or registration required to work as an ai product owner in New York. Most candidates enter through a bachelor's degree in a technical or business field, build experience as a business analyst, data analyst, or associate product manager, and earn a recognized credential such as Certified Scrum Product Owner or SAFe Product Owner certification. New York's fintech and media sectors place particular weight on hands-on AI tool experience and demonstrated roadmap ownership.
Which companies hire ai product owners in New York?
Employers hiring ai product owners in New York right now include Bloomberg, JPMorganChase, and Citi, based on current listings on Migrate Mate as of September 2026. New York's dense concentration of financial services firms, media conglomerates, and enterprise technology companies means openings appear consistently throughout the year rather than in seasonal bursts.
Which New York cities have the most ai product owner jobs?
New York, Atlanta, and New York have the most ai product owner openings in New York. New York City dominates because it is home to the headquarters of major financial institutions, media companies, and large technology employers, while Albany and Buffalo contribute openings tied to state government digital transformation projects and regional healthcare and insurance organizations that are actively building AI capabilities.
Are there remote ai product owner jobs in New York?
Yes, and more than most fields. About 73% of ai product owner openings tied to New York are remote or hybrid as of September 2026, reflecting that the core work involves roadmap planning, stakeholder meetings, and documentation that translates well to distributed environments. Discovery research and sprint ceremonies are the portions most likely to require in-person or hybrid attendance.
How can I get hired as a ai product owner in New York with little or no experience?
The most realistic entry path is moving from an adjacent role such as business analyst, data analyst, or associate project manager within a company that already has an AI product team. Large New York employers including JPMorgan Chase and Verizon run rotational associate and new-graduate product programs that place candidates on AI-focused squads. Building a portfolio of personal or open-source AI product work and earning a Certified Scrum Product Owner credential before applying gives candidates a measurable edge in New York screening processes.
Where can I find and apply to ai product owner jobs in New York?
You can find and apply to ai product owner jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the available roles, identify the ones that match your experience and target sector, and apply directly to the ones that fit.
See All 112+ AI Product Owner Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find AI Product Owner Jobs