Senior AI Product Manager
MCI · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
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Job highlights
- Lead AI product strategy and delivery.
- Manage AI product roadmaps and lifecycles.
- Collaborate with engineering and AI teams.
- Drive AI adoption and business value.
- Engage with executives and stakeholders.
About the role
About MCI
MCI is a rapidly growing tech-enabled business services company with a significant presence in Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions. Serving diverse industries like healthcare, retail, government, and finance, MCI leverages advanced technologies and a hybrid workforce of on-site and remote agents to optimize customer journeys, enhance scalability, and reduce costs. At MCI, we are dedicated to fostering career growth through continuous learning and development within a globally expanding, industry-leading organization.Job Summary
MCI is seeking a strategic and commercially minded Senior AI Product Manager to spearhead the development and delivery of AI-powered products and services. This role is pivotal in defining product vision, managing roadmaps, and ensuring AI initiatives achieve tangible business outcomes aligned with company objectives. The successful candidate will collaborate closely with executives, engineering teams, AI specialists, and business stakeholders to bring innovative AI solutions to market. To be considered for this role, a full application on our company careers page is required, including screening questions and a brief pre-employment test.Key Responsibilities
Product Strategy & Vision
- Define and execute product strategies that drive AI adoption and business value.
- Develop and maintain AI product roadmaps.
- Identify market opportunities and emerging technology trends.
- Define product goals, priorities, and success metrics.
- Align product initiatives with business objectives.
Product Delivery & Execution
- Lead AI products through the full product lifecycle.
- Manage product planning, prioritization, and delivery.
- Collaborate with engineering and AI teams throughout development.
- Define product requirements and acceptance criteria.
- Ensure successful product launches and adoption.
Stakeholder Management
- Build strong relationships across business and technology functions.
- Facilitate communication between technical and non-technical stakeholders.
- Present product updates and recommendations to leadership teams.
- Gather and prioritize customer and stakeholder feedback.
- Manage competing priorities and expectations.
Performance & Continuous Improvement
- Monitor product performance and drive optimization initiatives.
- Track adoption, usage, and business outcomes.
- Identify opportunities for product enhancement.
- Analyze user feedback and performance metrics.
- Support data-driven product decision-making.
AI Innovation & Governance
- Support responsible and sustainable AI product development.
- Evaluate emerging AI technologies and capabilities.
- Ensure products align with governance and compliance requirements.
- Support responsible AI practices and risk management.
- Drive innovation across the product portfolio.
Ideal Candidate Profile
- Bachelor's Degree in Business, Technology, Engineering, Computer Science, Information Systems, or a related field.
- Minimum 5 years of product management experience.
- Proven experience leading technology, data, or AI-focused products.
- Strong understanding of Agile product development methodologies.
- Experience managing product roadmaps and strategic initiatives.
- Ability to translate business needs into technical requirements.
- Strong analytical, commercial, and problem-solving skills.
- Experience working with engineering, data science, and cross-functional teams.
- Strong stakeholder management and executive communication skills.
- Experience defining product metrics and measuring success.
- Ability to prioritize competing business and technical requirements.
- Demonstrated success delivering complex technology solutions.
Nice to Have
- Experience managing Generative AI, machine learning, or automation products.
- Product certifications such as CSPO, PSPO, or Pragmatic Institute.
- Knowledge of AI governance and responsible AI frameworks.
- Experience leading enterprise digital transformation initiatives.
- Familiarity with data analytics and business intelligence tools.
- Experience in SaaS or technology product environments.
- MBA or advanced business qualification.
- Exposure to AI engineering and machine learning development practices.
Work Environment & Requirements
This role operates in a professional office environment. The position is largely sedentary, requiring prolonged sitting/standing while using a computer and phone headset. Employees must be able to operate standard office equipment, including computers, phones, copiers, and printers. Occasional movement within the office, reaching, and lifting/moving objects up to forty (40) pounds may be required. All MCI Locations: Authorization to work in the country of employment is required. Subject to program and location requirements, candidates may need to undergo a LEVEL II background and/or security investigation with fingerprinting, and a drug screening. Job offers are contingent upon successful completion of these investigations and screenings.Commitment to Diversity & Inclusion
MCI embraces diversity and is committed to fostering an inclusive work environment free from discrimination and harassment. We provide reasonable accommodations for qualified applicants and employees with disabilities. All employment decisions are based on merit, qualifications, and business needs.About MCI (Company Overview)
MCI is a leading provider of Customer Experience (CX) and Digital Transformation (DX) solutions, specializing in business process outsourcing, staff augmentation, contact center services, and IT Services. We help clients achieve exceptional experiences and optimal performance through innovative solutions. MCI has been recognized by Inc. Magazine as one of the fastest-growing companies in the USA, with a history of entrepreneurial success across its subsidiaries. We employ over 10,000 individuals across numerous brands and service delivery facilities globally. Key skills/competency:- AI Product Management
- Product Strategy
- Roadmap Development
- Agile Methodologies
- Stakeholder Management
- AI Innovation
- Machine Learning
- Generative AI
- Product Lifecycle Management
- Business Outcomes
Skills & topics
- AI Product Manager
- Product Management
- Artificial Intelligence
- Machine Learning
- Generative AI
- Product Strategy
- Roadmap
- Agile
- SaaS
- Tech
How to get hired
- Customize your resume: Highlight AI product management experience and achievements.
- Complete the full application: Submit all required information on the MCI careers page.
- Ace the pre-employment test: Prepare for any assessments to demonstrate your skills.
- Showcase AI expertise: Emphasize your experience with AI, ML, and Generative AI.
- Demonstrate stakeholder skills: Provide examples of effective communication and collaboration.
Technical preparation
Master Agile methodologies and product lifecycles.,Understand ML, Generative AI, and automation.,Practice translating business needs to requirements.,Prepare for technical and data-focused questions.
Behavioral questions
Describe a successful AI product launch.,How do you manage competing stakeholder priorities?,Give an example of data-driven decision making.,How do you ensure responsible AI practices?
Frequently asked questions
- What specific AI technologies does MCI focus on for its product development?
- MCI focuses on a range of AI technologies to enhance its CX and BPO services. This includes machine learning, Generative AI, and automation products. The company is committed to responsible AI development and exploring emerging AI capabilities to drive innovation and business value.
- What is the typical career progression for a Senior AI Product Manager at MCI?
- MCI is committed to fostering meaningful careers with continuous learning and development opportunities. While specific paths vary, a Senior AI Product Manager can expect opportunities to deepen their expertise, lead more complex initiatives, and potentially move into senior leadership roles within product management or AI strategy.
- How does MCI ensure responsible AI product development and governance?
- MCI supports responsible and sustainable AI product development by evaluating emerging technologies, ensuring products align with governance and compliance requirements, and actively managing risks. The company emphasizes responsible AI practices throughout the product lifecycle.
- What is the application process for the Senior AI Product Manager role at MCI?
- The application process for the Senior AI Product Manager role at MCI requires completing a full application on the company's careers page. This includes answering screening questions and taking a brief pre-employment test. Successful completion is essential for consideration.
- What kind of business outcomes is MCI looking for from its AI products?
- MCI seeks AI products that deliver measurable business outcomes, such as driving AI adoption, enhancing customer experience, increasing scalability, reducing costs, and improving overall business performance. The focus is on tangible results and aligning AI initiatives with strategic business objectives.
- Does MCI prefer candidates with specific product certifications for the Senior AI Product Manager role?
- While not strictly required, MCI lists product certifications like CSPO, PSPO, or Pragmatic Institute as 'Nice to Have' for the Senior AI Product Manager position. These certifications can strengthen an application by demonstrating formal training in product management methodologies.
- How does MCI support remote and on-site employees in its contact center operations?
- MCI utilizes both on-site and remote agents to power its contact centers, leveraging advanced technologies to support a hybrid workforce. This approach ensures flexibility and scalability while maintaining a focus on enhancing customer journeys and operational efficiency.