AI Product Owner

MCI

United States

On-site

USD 90,000 - 120,000

Full time

14 days+
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Job summary

MCI, a leader in tech-enabled business services, is seeking an AI Product Owner to drive the delivery of AI-powered products. In this role, you will bridge business stakeholders and technical teams, ensuring alignment with strategic objectives.

The ideal candidate will manage product backlogs, define requirements, and facilitate communication among teams to enhance customer experiences. This position offers opportunities for innovation in AI technologies and a professional office environment.

Qualifications

  • Minimum 4 years of experience as a Product Owner or similar role.
  • Experience working within Agile delivery environments.
  • Ability to translate business requirements into technical solutions.

Responsibilities

  • Manage product priorities and delivery outcomes.
  • Define user stories, acceptance criteria, and priorities.
  • Monitor product performance and user adoption.

Skills

Stakeholder management
Agile methodologies
Product lifecycle management
Analytical skills
Communication

Education

Bachelor’s Degree in Business or related field

Job description

MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across a wide range of industries, including healthcare, retail, government, education, telecom, technology e-commerce, and financial services. Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies to enhance customer journeys, drive scalability and reduce costs.

We are seeking a highly motivated AI Product Owner to drive the delivery of AI-powered products and solutions. This role serves as the bridge between business stakeholders and technical teams, ensuring AI initiatives align with strategic objectives while delivering meaningful value to customers and users.

The successful candidate will own product backlogs, define requirements, and work closely with AI engineers, product managers, and stakeholders throughout the product lifecycle.

Key Responsibilities
  • Manage product priorities and delivery outcomes.
  • Own and maintain AI product backlogs.
  • Define user stories, acceptance criteria, and priorities.
  • Ensure development efforts align with business objectives.
  • Support sprint planning and Agile delivery activities.
Requirements Gathering & Solution Design
  • Translate business needs into actionable product requirements.
  • Engage stakeholders to understand business challenges.
  • Document functional and non‑functional requirements.
  • Collaborate with technical teams on solution design.
  • Support product discovery and validation activities.
Stakeholder Collaboration
  • Facilitate communication across business and technology teams.
  • Act as the primary liaison between stakeholders and delivery teams.
  • Manage expectations and communicate priorities.
  • Support decision‑making and issue resolution.
  • Facilitate workshops and requirement‑gathering sessions.
Product Delivery & Continuous Improvement
  • Ensure successful implementation and ongoing optimization.
  • Monitor product performance and user adoption.
  • Gather feedback and identify enhancement opportunities.
  • Support product releases and rollout activities.
  • Drive continuous improvement initiatives.
AI Innovation & Business Value
  • Support the effective adoption of AI technologies.
  • Identify opportunities for AI‑driven business improvements.
  • Evaluate new features and capabilities.
  • Contribute to AI product strategy discussions.
  • Promote responsible AI practices within product development.
Qualifications
  • Bachelor’s Degree in Business, Information Systems, Technology, Engineering, Computer Science, or a related field.
  • Minimum 4 years of experience as a Product Owner, Business Analyst, Product Manager, or similar role.
  • Experience working within Agile delivery environments.
  • Strong understanding of product development methodologies.
  • Experience managing backlogs and user stories.
  • Ability to translate business requirements into technical solutions.
  • Strong stakeholder management and facilitation skills.
  • Excellent communication and presentation abilities.
  • Strong analytical and problem‑solving capabilities.
  • Experience working with technical delivery teams.
  • Ability to manage competing priorities effectively.
  • Strong organizational and planning skills.
Nice to Have
  • Experience supporting AI, machine learning, or automation initiatives.
  • Product Owner certifications such as CSPO or PSPO.
  • Experience working with Generative AI products.
  • Familiarity with Agile scaling frameworks.
  • Experience in SaaS or technology environments.
  • Knowledge of AI governance principles.
  • Exposure to AI product development lifecycles.
  • Experience supporting enterprise digital transformation initiatives.

This job operates in a professional office environment. While performing the duties of this job, the employee will be largely sedentary and will be required to sit/stand for long periods while using a computer and telephone headset. The employee will be regularly required to operate a computer and other office equipment, including a phone, copier, and printer. The employee may occasionally be required to move about the office to accomplish tasks; reach in any direction; raise or lower objects, move objects from place to place, hold onto objects, and move or exert force up to forty (40) pounds.

Location Requirements
  • Must be authorized to work in the country where the job is based.
Background and Security
  • Must be willing to submit up to a LEVEL II background and/or security investigation with a fingerprint. Job offers are contingent on background/security investigation results.
  • Must be willing to submit to drug screening. Job offers are contingent on drug screening results. (Does not apply in Canada)

Consistent with the Americans with Disabilities Act (ADA), it is the policy of MCI and its affiliates to provide reasonable accommodations when requested by a qualified applicant or employee with a disability unless such accommodations would cause undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment. If reasonable accommodations are needed, please contact Human Resources.

At MCI and its subsidiaries, we embrace differences and believe diversity is a benefit to our employees, our company, our customers, and our community. All aspects of employment at MCI are based solely on a person's merit and qualifications. MCI maintains a work environment free from discrimination, one where employees are treated with dignity and respect. All employees share in the responsibility for fulfilling MCI's commitment to a diverse and equal opportunity work environment.

MCI does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. MCI will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.

MCI will not tolerate discrimination or harassment based on any of these characteristics. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of MCI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where an employee works.

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