Senior ML Product Owner

Key Responsibilities

• 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.
• 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.
• 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.
• 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

• 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.

Pay

TBD

Schedule

TBD

Benefits

TBD

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.