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Open nowPosted yesterday

Product Manager - AI Success

Unum67 open roles

Pay
$98,340 – $201,900 a year
Where
Atlanta Georgia USA
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Your applicationOpen nowProduct Manager - AI SuccessUnum · Atlanta Georgia USA
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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Unum postings stay open a median of 22 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted yesterday

Unum median: 22 days open

The posting

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:

  • Award-winning culture
  • Inclusion and diversity as a priority
  • Performance Based Incentive Plans
  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
  • Generous PTO (including paid time to volunteer!)
  • Up to 9.5% 401(k) employer contribution
  • Mental health support
  • Career advancement opportunities
  • Student loan repayment options
  • Tuition reimbursement
  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.

And that’s just the beginning…

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General Summary:

The AI Product Success Product Manager is an Agile leader accountable for maximizing the ongoing value, adoption, and health of AI products in production. The Product Manager works across business, Product, Engineering, Data Science, Operations, Finance, and Risk to translate production insights, user feedback, performance trends, and evolving business needs into a prioritized roadmap and backlog.

The Product Manager serves as the orchestrator for the post-launch AI product lifecycle, ensuring products successfully transition into production, remain operationally healthy, continuously improve, and deliver against intended business outcomes. The role drives prioritization across enhancements, model improvements, production issues, technical debt, adoption opportunities, and changing business needs, while mobilizing the appropriate teams to address them. This position works closely with internal constituents, external partners and customers to ensure product line strategy is aligned with distribution strategies, market needs, growth opportunities, and profitability and risk thresholds. This position drives strategic planning and must influence others in executing to plan. In doing so, the product manager formulates, prepares and oversees the implementation of product and marketing strategies for a product line that includes developing new products and enhancing existing products to meet sales growth, profitability and persistency objectives. The product manager is responsible for ensuring their product line is competitive and meets future marketplace demands and directs marketing strategies to increase product sales across distribution channels and market segments.

Specifications

  • Bachelor’s degree preferred, or 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, particularly launch, adoption, production operations, continuous improvement, and value realization.
  • Proven understanding of Agile product management practices, backlog management, prioritization, work decomposition, planning, and iterative delivery.
  • Strong technical acumen with the 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 to inform prioritization and decision-making.
  • Strong verbal, written, and presentation skills, including the ability to translate 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 and ability to engage with business stakeholders, end users, technology teams, and senior leaders.
  • High degree of ownership and accountability with the ability to proactively identify product risks and opportunities.
  • Ability to champion change and partner with operational leaders to increase adoption of AI-enabled capabilities.
  • Experience working within governance, risk, compliance, or regulated environments is beneficial.
  • Demonstrated commitment to continuous improvement of products, processes, and ways of working.
  • Some travel may be required.

Principal Duties and Responsibilities

Product Success & Value Realization

  • Own the ongoing success of AI products in production, with focus on business value, adoption, user experience, operational health, and continuous improvement.
  • Establish product success measures and KPIs with business partners and translate them into actionable product, operational, and delivery metrics.
  • Track benefit realization and identify gaps between expected and realized business outcomes, incorporating findings into roadmap and backlog decisions.
  • Partner with Finance and business stakeholders to maintain visibility into product value and inform continued investment and prioritization decisions.
  • Maintain a holistic understanding of users, business processes, and customer needs to ensure production AI products continue to solve the intended problems.

Product Health & Continuous Improvement

  • 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 and prioritize action based on business impact.
  • Ensure recurring production issues and user pain points are translated into sustainable product improvements rather than addressed solely as individual incidents.
  • Identify opportunities to improve adoption, usability, reliability, automation, and overall business outcomes.

Roadmap & Backlog Ownership

  • Build and maintain an updated, transparent, and prioritized AI Product Success backlog.
  • Prioritize work based on business value, product/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/risk needs, and platform changes within the product roadmap.
  • Partner with Engineering and Data Science to understand delivery constraints and make appropriate scope, sequencing, and priority trade-offs.
  • Use Agile backlog and delivery tooling to provide transparency into priorities, status, progress, dependencies, and outcomes.

Transition to Product Success

  • Represent AI Product Success during the 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.
  • Ensure learnings and issues identified during early production are incorporated into the Product Success backlog.

Cross-Functional Orchestration & Governance

  • Serve as the central Product point of coordination 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 the long-term health and sustainability of the product.

#LI-TO1

#LI-MULTI

~IN4

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$98,340.00-$201,900.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.

Company:

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