Product Manager - AI Success

Unum Group is hiring an AI Product Success Product Manager in Atlanta, GA (onsite) to help ensure AI products deliver measurable value after launch. This role serves as an Agile leader focused on maximizing ongoing adoption, product health, and operational reliability for AI capabilities in production.

In this position, you will translate production insights, user feedback, performance trends, and evolving business needs into a prioritized roadmap and backlog. You will coordinate cross-functional teams across the post-launch product lifecycle and manage the transition of new AI products into production ownership.

What you will do

• Own the ongoing success of AI products in production, focusing on business value, adoption, user experience, operational health, and continuous improvement.
• Establish product success measures and KPIs with business partners, translating them into actionable product, operational, and delivery metrics.
• Track benefit realization and identify gaps between expected and realized business outcomes, then incorporate learnings into roadmap and backlog decisions.
• Partner with Finance and business stakeholders to maintain visibility into product value and guide continued investment and prioritization.
• Maintain a holistic understanding of users, business processes, and customer needs to ensure production AI products solve intended problems.
• Maintain an integrated view of product health across business value, adoption, operational performance, model performance, technology health, and risk.
• Use production data, user feedback, operational insights, model performance, and business priorities to identify continuous improvement opportunities.
• Partner with Data Science and AI teams to understand model performance, degradation, drift, and improvement opportunities, prioritizing actions based on business impact.
• Ensure recurring production issues and user pain points drive sustainable product improvements rather than one-off incident handling.
• Identify opportunities to improve adoption, usability, reliability, automation, and overall business outcomes.
• Build and maintain an updated, transparent, and prioritized AI Product Success backlog.
• Prioritize work using business value, product and model performance, user impact, operational risk, technical health, and available capacity.
• Translate business needs, production insights, incidents, feedback, and improvement opportunities into clear backlog items and acceptance criteria.
• Balance enhancements, model improvements, break-fix needs, technical debt, regulatory or risk needs, and platform changes within the product roadmap.
• Partner with Engineering and Data Science to understand delivery constraints and make scope, sequencing, and priority trade-offs.
• Use Agile backlog and delivery tooling to provide transparency into priorities, status, progress, dependencies, and outcomes.
• Represent AI Product Success during transition of new AI products and major capabilities into production.
• Ensure products meet established transition-to-production / run readiness criteria before Product Success assumes ownership.
• Coordinate readiness across documentation, model and application monitoring, operational processes, escalation paths, technical readiness, compliance requirements, and stakeholder sign-off.
• Partner with Build teams through knowledge transfer, parallel Run, go-live, and hypercare activities to establish sustainable ownership.
• Incorporate learnings and issues identified during early production into the AI Product Success backlog.
• Coordinate across Business Operations, Engineering, Data Science, Finance, Risk, and other partners supporting production AI products.
• Mobilize the appropriate teams when product health, model performance, business value, operational performance, or user experience falls outside expected outcomes.
• Lead recurring product health and backlog reviews, bringing together performance, value, risk, incidents, and planned improvements.
• Communicate product health, priorities, decisions, dependencies, risks, and value realization to stakeholders and leadership.
• Ensure decisions and priorities balance immediate operational needs with long-term sustainability of the product.

What you bring

• Bachelor’s degree preferred, or an equivalent combination of education and relevant experience.
• Demonstrated experience in Product Ownership, Product Management, technology delivery, or digital product operations.
• Insurance Industry experience preferred.
• Strong understanding of the complete product lifecycle, especially launch, adoption, production operations, continuous improvement, and value realization.
• Proven understanding of Agile product management practices including backlog management, prioritization, work decomposition, planning, and iterative delivery.
• Strong technical acumen and ability to collaborate effectively with Engineering, Architecture, Data Science, AI/ML, Data Engineering, DevOps/MLOps, and Operations.
• Working knowledge of AI/ML product concepts such as model performance, monitoring, drift, data dependencies, explainability, and production monitoring.
• Experience defining and using product, business, adoption, operational, and technical KPIs for prioritization and decision-making.
• Strong verbal, written, and presentation skills, including translating technical and AI concepts for nontechnical audiences.
• Proven ability to lead through influence and mobilize cross-functional teams without direct authority.
• Strong problem-solving skills with demonstrated ability to make prioritization and trade-off decisions in ambiguous situations.
• Strong interpersonal skills to engage with business stakeholders, end users, technology teams, and senior leaders.
• High degree of ownership and accountability, including proactively identifying product risks and opportunities.
• Ability to champion change and partner with operational leaders to increase adoption of AI-enabled capabilities.
• Experience in governance, risk, compliance, or regulated environments beneficial.
• Demonstrated commitment to continuous improvement of products, processes, and ways of working.
• Some travel may be required.

Compensation and schedule

Salary range: USD 98,340 - 201,900 per year.

Work location: Onsite in Atlanta, GA.

Technology and skills

• Agile
• AI/ML
• DevOps/MLOps

Benefits at Unum Group

• Health, Vision, Dental
• Short & Long-Term Disability
• Performance Based Incentive Plans
• Generous PTO (including paid time to volunteer!)
• Up to 9.5% 401(k) employer contribution
• Mental health support
• Student loan repayment options
• Tuition reimbursement
• Flexible work environments