AI Product Manager-Fintech domain

Prophecy Technologies Corp; Atlanta (GA); On-site; USD 140,000 - 200,000; Full time

Job summary

Prophecy Technologies Corp seeks an experienced AI Product Manager to lead the creation and delivery of AI-powered products that solve real business problems and deliver measurable value for customers. You will bridge business, technology, data science, and UX to define vision, prioritize investments, and collaborate with engineering and AI teams to bring innovative solutions to market.

The ideal candidate will translate complex challenges into scalable AI-driven offerings while balancing

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or related field
• 8+ years of experience in Product Management, Program Management, or Digital Product Development
• 3+ years of experience with AI, Machine Learning, Analytics, or data-driven products
• Strong understanding of Agile methodologies and product management best practices
• Experience working with cross-functional teams in fast-paced environments
• Excellent communication, stakeholder management, and leadership skills

Responsibilities

• Define and communicate a clear vision and roadmap for AI-enabled products
• Identify opportunities where AI and Generative AI can improve customer experience or operations
• Partner with leaders and customers to translate challenges into product opportunities
• Build business cases, value propositions, and success metrics for AI initiatives
• Own the product lifecycle from ideation to launch and ongoing optimization
• Create and manage backlogs, user stories, and feature prioritization
• Collaborate with Data Scientists, Engineers, Architects, and UX teams
• Define MVPs and drive iterative releases based on feedback and outcomes
• Ensure on-time delivery within scope and aligned with objectives
• Work with AI/ML teams to define model requirements and deployment strategies
• Understand AI capabilities and help stakeholders make informed decisions
• Drive adoption of Generative AI, intelligent automation, predictive analytics, and recommendations
• Monitor product performance and propose enhancements based on data

Skills

Product management

Program management

AI experience

Agile methodologies

Cross-functional leadership

Education

Bachelor's degree in CS/Engineering/IS/Business

Tools

AWS

Azure

Google Cloud

Snowflake

Databricks

Power BI

Tableau

Job description

We are looking for an experienced AI Product Manager to lead the development and delivery of AI-powered products that solve real business problems and create measurable value for customers.

This role sits at the intersection of business, technology, data science, and user experience. The ideal candidate will be responsible for defining product vision, prioritizing investments, and working closely with engineering and AI teams to bring innovative solutions to market. The successful candidate will be able to translate complex business challenges into scalable AI-driven products while balancing customer needs, business objectives, regulatory requirements, and technical feasibility.

Key Responsibilities

• Define and communicate a clear vision and roadmap for AI-enabled products.
• Identify opportunities where AI and Generative AI can improve customer experience, enhance operational efficiency, or create new revenue streams.
• Partner with business leaders and customers to understand challenges and convert them into product opportunities.
• Build business cases, value propositions, and success metrics for AI initiatives.

Product Development & Delivery

• Own the product lifecycle from ideation to launch and ongoing optimization.
• Create and manage product backlogs, user stories, and feature prioritization.
• Collaborate with Data Scientists, Engineers, Architects, and UX teams throughout the development process.
• Define MVPs and drive iterative product releases based on customer feedback and business outcomes.
• Ensure products are delivered on time, within scope, and aligned with strategic objectives.
• Work closely with AI/ML teams to define model requirements, training approaches, and deployment strategies.
• Understand AI capabilities and limitations and help stakeholders make informed decisions.
• Drive adoption of Generative AI solutions, intelligent automation, predictive analytics, and recommendation engines where appropriate.
• Monitor product performance and recommend enhancements based on data-driven insights.

Stakeholder Management

• Act as the primary liaison between business stakeholders, technology teams, and leadership.
• Present product strategies, roadmaps, progress updates, and outcomes to executive leadership.
• Facilitate workshops and discovery sessions to gather requirements and align priorities.

Governance & Responsible AI

• Ensure AI products comply with organizational governance, security, privacy, and regulatory requirements.
• Advocate for ethical and responsible AI practices, including explainability, transparency, fairness, and risk management.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related field.
• 8+ years of experience in Product Management, Program Management, or Digital Product Development.
• 3+ years of experience working with AI, Machine Learning, Analytics, or Data-driven products.
• Strong understanding of Agile methodologies and product management best practices.
• Experience working with cross-functional teams in fast-paced environments.
• Excellent communication, stakeholder management, and leadership skills.

Preferred Qualifications

• MBA or Master's degree in a related discipline.
• Experience delivering Generative AI or Large Language Model (LLM)-based solutions.
• Experience within Banking, Financial Services, Insurance (BFSI), FinTech, or highly regulated industries.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with AI governance, model lifecycle management, and responsible AI frameworks.

Technical Knowledge

Exposure to one or more of the following:

• Artificial Intelligence & Machine Learning
• Generative AI and Large Language Models (OpenAI, Gemini, Claude, Llama)
• Natural Language Processing (NLP)
• Predictive Analytics
• Prompt Engineering
• MLOps and Model Lifecycle Management
• Data Platforms such as Snowflake or Databricks
• Cloud AI Services on AWS, Azure, or GCP
• Analytics and Visualization Tools such as Power BI or Tableau