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Generative Ai Product Manager Jobs in Delaware (NOW HIRING)

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

In this role, you will work with product managers, developers, and business stakeholders to support ... Create, test, and refine prompts for generative AI applications. Participate in prompt tuning and ...

$50/hr

Our mission is to research and develop technologies for various Sony Group products and for ... Proven knowledge and expertise in generative AI applications, including deep generative modeling ...

$50/hr

Our mission is to research and develop technologies for various Sony Group products and for ... Proven knowledge and expertise in generative AI applications, including deep generative modeling ...

$50/hr

Our mission is to research and develop technologies for various Sony Group products and for ... Proven knowledge and expertise in generative AI applications, including deep generative modeling ...

Showing results 21-40

Generative Ai Product Manager information

See Delaware salary details

$51.5K

$159.5K

$197.2K

How much do generative ai product manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for generative ai product manager in Delaware is $159,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $197,200.00 per year, depending on experience, location, and employer.

What does a generative AI product manager do?

A Generative AI Product Manager oversees the development and implementation of products that use generative artificial intelligence technologies, such as large language models or image generators. Their responsibilities include defining product strategy, gathering user requirements, collaborating with engineering and data science teams, and ensuring ethical use of AI. They also monitor market trends and user feedback to continuously improve the product. This role requires a blend of technical understanding, business acumen, and communication skills.

What are the key skills and qualifications needed to thrive as a generative AI product manager?

To thrive as a Generative AI Product Manager, you need a solid background in product management, understanding of machine learning concepts, and experience with AI-driven product development, ideally supported by a relevant degree or certifications. Familiarity with tools such as Python, TensorFlow, PyTorch, and platforms like Azure or AWS for deploying AI models is typically expected. Strong soft skills include cross-functional communication, strategic thinking, and the ability to translate technical insights into business value. These skills and qualities are crucial for effectively leading AI product initiatives, aligning technical teams with business goals, and delivering innovative solutions in a rapidly evolving field.

What are some common challenges generative AI product managers face when balancing technical feasibility with user needs?

Generative AI Product Managers often face the challenge of aligning innovative AI capabilities with practical user requirements and business objectives. It's common to encounter situations where the latest AI models can produce impressive results, but integrating them into a user-friendly product within budget and ethical guidelines requires careful prioritization and cross-team collaboration. Effective communication with engineers, data scientists, and stakeholders is crucial to ensure that development efforts focus on features that deliver real value while managing risks related to bias, reliability, and scalability. Staying updated on advancements and understanding their implications for your target users is key to overcoming these challenges.

What is the difference between Generative Ai Product Manager vs Data Scientist?

AspectGenerative Ai Product ManagerData Scientist
Required credentialsBackground in AI, product management, or related fields; often requires experience with AI toolsDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work environmentCollaborates with engineering, design, and business teams to develop AI productsAnalyzes data, builds models, and provides insights primarily through coding and statistical methods
Employer and industry usageTech companies, startups, AI-focused firms developing generative modelsResearch institutions, tech companies, finance, healthcare, using data for insights and decision-making

While both roles involve AI and data, the Generative Ai Product Manager focuses on overseeing AI product development and strategy, working cross-functionally, whereas the Data Scientist primarily analyzes data and builds models to inform business decisions.

How much do generative AI product managers get paid?

Generative AI product managers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those in high-demand markets can offer higher compensation, often including bonuses and stock options, especially for professionals with expertise in AI tools and product development.

How to become a generative AI product manager?

To become a generative AI product manager, candidates typically need a background in computer science, AI, or related fields, along with experience in product management and familiarity with machine learning and deep learning frameworks. Developing skills in data analysis, project management, and understanding AI model development are essential, often supported by certifications or training in AI tools and methodologies. Practical experience managing AI-driven products or projects enhances prospects in this specialized role.

What are popular job titles related to Generative Ai Product Manager jobs in Delaware?

For Generative Ai Product Manager jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Generative Ai Product Manager jobs in Delaware look for?

The top searched job categories for Generative Ai Product Manager jobs in Delaware are:

What cities in Delaware are hiring for Generative Ai Product Manager jobs?

Cities in Delaware with the most Generative Ai Product Manager job openings:

Product Delivery Manager Vice President - Risk Third Party Services

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

Join JPMorganChase Risk Management and Compliance to deliver data products that directly shape how we take risk, serve customers, and grow responsibly. In this VP role, you'll lead multiple end-to-end initiatives integrating third-party risk data into an enterprise data service used by credit criteria, models, and analytics. You'll operate at the intersection of business, technology, and control partners to deliver resilient, compliant solutions. If you thrive on turning ambiguity into clarity, influencing stakeholders, and shipping outcomes, this role offers high visibility and measurable impact.

As a/an Product Delivery Manager (VP) - Risk Third Party Services in Risk Third Party Services (Risk Management and Compliance), you will drive delivery of high-impact risk data products that integrate third-party risk data into an enterprise data service powering credit criteria, models, and analytics across the customer lifecycle.

You will lead multiple initiatives through the product delivery lifecycle-from discovery and scoping through build, testing, and release-while partnering closely with Product, Design, Engineering, Testing, and Risk/Legal/Controls. You will translate business needs into clear, executable scope, enable high-quality delivery through strong requirement management and data analysis, and apply continuous-improvement practices (including practical use of Generative AI) to increase delivery efficiency and solution resiliency across Auto, Card, Consumer & Business Banking, and Home Lending.

Job responsibilities
  • Lead multiple mid-to-large initiatives end-to-end through the Product Delivery Lifecycle (PDLC), aligning timelines, dependencies, and outcomes.
  • Partner with Product Owners/Managers, Design, and business stakeholders to elicit needs, define features, and clarify success measures.
  • Translate business and design requirements into detailed, technically executable scope and UAT-ready acceptance criteria.
  • Refine epics and stories at the component level to support Engineering and Testing teams while maintaining business intent and traceability.
  • Coordinate cross-functional resources and delivery ceremonies to manage risks, remove blockers, and drive timely decision-making.
  • Document business features, process flows, and system behaviors to support implementation, testing, auditability, and future reuse.
  • Perform data querying and exploratory analysis (production and non-production) to validate hypotheses, resolve defects, and inform decisions.
  • Assess existing capabilities and data assets to identify reuse opportunities and define incremental enhancements where needed.
  • Ensure features align with legal, controls, compliance, and risk requirements, including data quality and control framework expectations.
  • Monitor delivery progress and quality signals (scope, schedule, defects, readiness), escalating issues with clear options and recommendations.
  • Apply Generative AI responsibly to improve requirements workflows, analysis efficiency, and team operating practices.
Required qualifications, capabilities, and skills
  • Minimum 5+ years of experience in Business Analysis, Project Management, or Product Management on business/technology initiatives (financial services preferred).
  • Minimum 3+ years of hands-on experience in data querying and/or data quality roles, using SQL to support research, validation, and issue resolution.
  • Proven experience managing delivery for multiple concurrent initiatives with meaningful operational and/or financial impact.
  • Demonstrated ability to translate business requirements into technical scope, user stories, acceptance criteria, and UAT execution artifacts.
  • Strong Agile product delivery experience (minimum 3+ years) across one or more Agile frameworks, with excellent backlog/refinement discipline.
  • Experience with data management and data quality practices, including executing or supporting a control framework and audit-ready documentation.
  • Working knowledge of modern data/technology platforms and architectures, including exposure to AWS, Databricks, and Snowflake.
  • Proficiency with delivery and documentation tools including JIRA, Visio, PowerPoint, and Excel.
  • Experience with querying and visualization tools such as SQL and Tableau (or equivalent BI tooling).
  • Excellent stakeholder management, communication, and collaboration skills; able to build credibility across Product, Tech, and Control partners.
  • Bachelor's degree or equivalent practical experience.
Preferred qualifications, capabilities, and skills
  • Experience delivering risk/credit data products that support credit criteria, underwriting strategies, models, or analytics across the customer lifecycle.
  • Prior work integrating third-party data (e.g., onboarding, mapping, lineage, quality controls, and downstream consumption patterns).
  • Strong understanding of interconnected enterprise systems and data services in a large-scale regulated environment.
  • Experience partnering with Risk/Legal/Controls and navigating compliance constraints while maintaining delivery velocity.
  • Hands-on experience using Generative AI tools to improve delivery effectiveness (e.g., requirements drafting, test case acceleration, defect triage) with appropriate controls.
  • Experience supporting Auto, Card, Consumer & Business Banking, or Home Lending products and their credit/risk ecosystems.
  • Comfort operating in ambiguity with a demonstrated ability to create structure, drive alignment, and deliver durable outcomes.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

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