Product Owner, MPact AI

McLeod Software
Birmingham, AL, United States
24 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Application Programming Interfaces (APIs) Artificial Intelligence Data Mining Machine Learning Natural Language Processing Scrum Methodology Software Engineering SQL Databases Systems Integration Unstructured Data Model Validation
+2 more
Machine Learning Operations Data Pipelines

Job description

  • Define and maintain the RespondAI and Rate/RatePro product vision, roadmap, and priorities in alignment with company objectives and leadership direction.
  • Gather and evaluate customer feedback, business requirements, and product usage insights to identify opportunities, clarify problems, and prioritize enhancements.
  • Spend time at customer sites observing current workflows to evaluate how products fit, identify opportunities for new features and products, and reduce adoption friction.
  • Own and prioritize the product backlog, balancing customer value, technical dependencies, development capacity, model quality, and ongoing maintenance needs.
  • Translate product goals into clear user stories, requirements, and acceptance criteria, including data needs, expected model behavior, evaluation criteria, and monitoring requirements.
  • Make product scope and priority decisions within established authority, communicate trade-offs, and escalate decisions requiring leadership approval.
  • Review completed work against acceptance criteria and accept backlog items; coordinate release readiness with the teams responsible for technical quality and deployment.
  • Actively participate as product owner in sprint planning, backlog refinement, reviews, and retrospectives; support stand-ups and resolution of delivery obstacles as needed.
  • Partner with applicable customer-facing teams on release communication, documentation, training, adoption, and resolution of product issues.
  • Guide the development and maintenance of machine learning models, natural language processing capabilities, and data extraction pipelines supporting RespondAI.
  • Review technical approaches and design documentation with technical leads, ensuring decisions address business requirements, data quality, performance, scalability, and maintainability.
  • Oversee the use of SQL and structured and unstructured data to support analysis, feature development, model evaluation, and product improvements.
  • Establish product success measures and partner with technical teams to implement appropriate offline evaluations, shadow testing, and controlled experiments, including A/B testing where appropriate.

Requirements

9+ years of experience as a Product Owner, Technical Product Manager, and/or leadership position focused on software product delivery; or Bachelor’s with 5+ years of experience as a Product Owner, Technical Product Manager, and/or leadership position focused on software product delivery, required. Experience owning software product roadmaps, prioritizing backlogs, and translating business needs into product requirements, required. Experience delivering software products within Agile/Scrum frameworks, preferred. Transportation and logistics experience, preferred.

Computer Skills

To perform this job successfully, an individual should have advanced knowledge of Microsoft Office Suite. Working knowledge of AI, machine learning, and natural language processing, required. Understanding of data pipelines, model deployment, evaluation, and monitoring, required. Knowledge of software development, APIs, and system integrations, required, Experience working with structured and unstructured data, preferred.

About the company

At McLeod Software, we believe that our employees are our greatest competitive advantage. Each employee contributes directly to McLeod Software’s growth and success. When you join McLeod, you’re joining a company that’s built for the long haul-with a clear vision, strong leadership, and a commitment to investing in our people.

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