AI Data Engineer Jobs in New York
AI Data Engineer jobs in New York are among the most active in the country, concentrated in finance, media, healthcare, and enterprise technology, with openings at every level from entry-level associates through principal engineers. New York City dominates hiring volume, with significant demand also coming out of Albany and Buffalo, where state government agencies and regional health systems are building out data infrastructure. Goldman Sachs, JPMorgan Chase, and IBM are among the established New York employers with consistent demand for ai data engineers, particularly in MLOps pipeline development, large language model integration, and real-time data architecture. 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 117+ AI Data Engineer Jobs in New York
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Find AI Data Engineer JobsAI Data Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI Data Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- JPMorganChase15

- New York Life9

- Amazon Web Services9

- Logic6

- Rippling3

Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Consulting & Professional Services
- Medical Devices
- Science & Research
What New York Employers Look For
The qualifications that appear most often in AI data engineer jobs across New York.
- Bachelor's or master's degree in computer science, data engineering, or a related field
- Proficiency in Python and SQL for building and maintaining data pipelines
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with machine learning frameworks including TensorFlow, PyTorch, or Scikit-learn
- Experience designing and deploying ETL workflows and distributed data systems
- Strong understanding of MLOps practices and model deployment in production environments
AI Data Engineer Jobs in New York: Frequently Asked Questions
How do you become a ai data engineer in New York?
Most ai data engineers in New York enter the field with a bachelor's degree in computer science, data science, or a related discipline, though a master's degree is increasingly common for roles at larger financial and technology employers. There is no state-issued license required to work as an ai data engineer in New York. Employers typically look for demonstrated experience with cloud infrastructure, ML pipelines, and data architecture, often validated through project portfolios, certifications from AWS or Google, and internships completed while studying at New York universities.
How much do AI data engineers make in New York?
AI data engineers in New York earn a median of about $130,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,330 for the lowest 10% to over $214,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in New York?
Employers hiring ai data engineers in New York right now include JPMorganChase, New York Life, and Amazon Web Services, based on current listings on Migrate Mate as of September 2026. New York's deep concentration of financial institutions, media companies, and large healthcare systems means consistent year-round demand across industries beyond pure technology.
Which New York cities have the most ai data engineer jobs?
New York, New York State, and Albany have the most ai data engineer openings in New York. New York City accounts for the largest share by far, driven by its density of financial services firms, advertising technology companies, and enterprise headquarters, while Albany and Buffalo contribute openings tied to state government data initiatives and regional health system expansions.
Are there remote ai data engineer jobs in New York?
Yes, and more than most fields. About 72% of ai data engineer openings tied to New York are remote or hybrid as of September 2026, reflecting how naturally the work lends itself to distributed teams. The most remote-friendly parts of the role tend to be pipeline development, model monitoring, and data architecture design, while roles involving on-premise infrastructure or close collaboration with trading desks are more likely to require in-office presence.
How can I get hired as a ai data engineer in New York with little or no experience?
The most realistic entry path is securing an associate or junior data engineer role at a New York financial services firm or large health system, which often run formal new-graduate programs. JPMorgan Chase and Citigroup run structured technology analyst programs that place candidates into data and AI teams. Building a portfolio of end-to-end pipeline projects on public datasets, earning a cloud certification from AWS or Google, and targeting lateral moves from data analyst or business intelligence roles at New York companies are the clearest ways to get a foothold without prior ai data engineering titles.
Where can I find and apply to ai data engineer jobs in New York?
You can find and apply to ai data engineer jobs in New York on Migrate Mate, which lists current New York openings from employers actively hiring in the state. Find roles that fit your experience and apply directly to each one.
See All 117+ AI Data Engineer Jobs in New York
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