Senior ML Product Owner

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Senior ML Product Owner
Job Location: Atlanta, GA

Job Description: 

We are seeking an experienced Senior ML Product Owner to join our Data Science & AI team. The products we’ve deployed to date drive billions of dollars in economic value for our customers annually and we’re just getting started. You will serve as the product owner for a cross-functional agile team responsible for end-to-end development of ML/AI products in a high-visibility product area, ensuring that the team’s work is optimally and visibly aligned with business needs. This is a contract position with a six month term but has the potential to transition into a full-time role in the future based on performance and business needs.

Key Responsibilities

• Product Vision and Strategy
  • Define and communicate a product vision and roadmap for ML/AI-powered solutions aligned with clearly articulated business objectives.
  • Translate business objectives into well scoped ML/AI product opportunities, balancing desirability and feasibility.
• Backlog Management and Delivery
  • Own and prioritize the product backlog, ensuring clarity of requirements for cross-functional teams.
  • Write detailed user stories, acceptance criteria, and ML/AI-specific requirements (e.g., data availability, model performance thresholds).
  • Partner with technical teams to ensure timely, high-quality delivery of product increments, surfacing impediments early.
• Cross-Functional Collaboration
  • Serve as the primary liaison between business stakeholders (product managers and line of business stakeholders) and technical teams, ensuring alignment through high-bandwidth communication and facilitation.
  • Collaborate with researchers to shape model goals (e.g., accuracy, latency, explainability) and engineers to ensure scalable deployment, monitoring, and lifecycle management.
  • Ensure products comply with governance, privacy, and responsible AI guidelines.
• Analytics, Impact, and Continuous Improvement
  • Define success metrics and work with analytics teams to measure model and product performance.
  • Analyze user feedback, model outputs, and usage patterns to iterate and improve ML features.
  • Champion a culture of experimentation, A/B testing, and data-driven decision-making.
  • Proactively identify risks, dependencies, and constraints affecting delivery.
• Act Like an Owner:
  • Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.
  • Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.

Qualifications

• Required qualifications:
  • 5 years of experience as a Product Owner, Product Manager, or related role.
  • Background in data science, ML/AI research or engineering, or data analytics.
  • Understanding of statistical concepts, machine learning concepts (e.g. supervised/unsupervised learning, evaluation metrics, model lifecycle), and GenAI/Agentic AI concepts (e.g. RAG, embeddings and vector search, guardrails, orchestration frameworks).
  • Proficiency in SQL databases.
  • Experience working with ML/AI teams building customer-facing products.
  • Demonstrated ability to convert ambiguous problems into structured product initiatives with clear business value.
  • Experience in an agile environment.
  • Excellent communication, leadership, and stakeholder management skills.
• Preferred qualifications:
  • Experience in a merchant acquiring, payment service provider, or card network environment.
  • Familiarity with tokenization, real-time payments, and the authorization lifecycle.
  • Experience in a large, complex organization in a highly regulated industry.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.