AI Product Manager

Resolve Tech Solutions; Irving (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Resolve Tech Solutions is seeking an experienced AI Product Manager to own the vision, strategy, and roadmap for AI-powered digital products in a fast-paced environment. You will collaborate with data science, ML, and software teams to translate complex AI capabilities into valuable user experiences and measurable outcomes.

The role requires 5+ years in product management, 2+ years leading AI initiatives, and strong analytical and communication skills.

Qualifications

• 5+ years of product management experience delivering digital products and user experiences at scale.
• 2+ years leading AI, ML, data products, or intelligent automation initiatives.
• Experience taking AI or data-driven products from discovery through production launch and ongoing optimization.
• Strong analytical skills and data-informed decision making.
• Excellent written and verbal communication and stakeholder management.

Responsibilities

• Define and communicate a clear AI product vision, strategy, and roadmap aligned to business goals and customer needs.
• Identify, prioritize, and scope AI use cases across personalization, search, discovery, and operations.
• Translate AI capabilities into intuitive user experiences and measurable business outcomes.
• Partner with data science, ML, software engineering, and analytics teams to assess feasibility and requirements.
• Lead product discovery through stakeholder feedback, market research, and usability testing.
• Establish success metrics and measurement frameworks for AI products.

Skills

Product management

AI fluency

Analytical skills

Stakeholder collaboration

Communication skills

Agile ceremonies

Roadmap planning

Education

Bachelor's degree

Master's degree

Tools

APIs

Databases

Microservices

ML platforms

Job description

• Develop a deep understanding of consumers, merchants and operators, using qualitative and quantitative insights to identify meaningful AI opportunities.
• Define and communicate a clear AI product vision, strategy, and roadmap aligned to business goals and customer needs.
• Identify, prioritize, and scope AI use cases across personalization, search and discovery, customer support, merchant enablement, driver experience, fraud and trust, forecasting, pricing, routing, and last-mile operations.
• Translate complex AI capabilities into intuitive, valuable user experiences and measurable business outcomes.
• Partner with data science, machine learning, software engineering, and analytics teams to evaluate technical feasibility, data readiness, model performance, scalability, and operational requirements.
• Lead product discovery through stakeholder feedback, market research, customer research, usability testing, experimentation, and user acceptance testing.
• Establish success metrics and measurement frameworks for AI products, including adoption, engagement, customer satisfaction, operational efficiency, revenue impact, quality, latency, reliability, and model performance.
• Define requirements for AI-powered features, including product requirements documents, user journeys, workflows, wireframes, prototypes, evaluation plans, and launch criteria.
• Work closely with engineering and technical teams to ensure AI products and releases are designed, developed, tested, deployed, and operated successfully.
• Establish appropriate approaches for model evaluation, human-in-the-loop workflows, monitoring, feedback collection, and continuous improvement.
• Partner with legal, compliance, privacy, security, and risk stakeholders to support responsible, transparent, and compliant use of AI.
• Make creative recommendations to expand the 7NOW product portfolio and shape the long-term role of AI across the business.
• Create alignment across senior management and cross-functional teams, clearly communicating priorities, trade-offs, risks, and decisions.
• Lead through influence, build trust across disciplines, and create excitement around the customer and business problems we are solving.
• This role requires a strong understanding of customer and business needs, technical fluency across modern AI platforms, and the ability to move from early discovery and experimentation through production launch and continuous improvement.
• Participate in Agile ceremonies, including sprint planning, stand-ups, backlog refinement, and retrospectives.

Years of Experience

• 5+ years of experience in product management, with experience delivering digital products and user experiences at scale.
• 2+ years of experience leading AI, machine learning, generative AI, data products, or intelligent automation initiatives.
• Experience taking AI or data-driven products from discovery and experimentation through production launch and ongoing optimization.

Required Qualifications (Non-Negotiable)

• Technical fluency with modern technology platforms, microservices, APIs, databases.
• Experience working closely with software engineers, data scientists, machine learning engineers, designers, analysts, and operational stakeholders.
• Strong analytical skills and a track record of making data-informed product decisions.
• Demonstrated ability to define product strategy, manage roadmaps, prioritize investments, and deliver measurable outcomes.
• Strong written and verbal communication skills, sound judgment, and high emotional intelligence.
• A hands-on, outcome-oriented approach with the ability to operate effectively in a fast-paced, highly collaborative environment.

Nice-to-Have Qualifications (Desired but Not Required)

• Experience with generative AI, large language models, recommendation systems, personalization, optimization, forecasting, computer vision, or conversational experiences.
• Experience designing AI evaluation frameworks, experimentation strategies, or human-in-the-loop systems.
• Experience with responsible AI practices, including privacy, safety, fairness, explainability, and governance.
• Experience leading cross-functional product teams or mentoring product managers.

Education & Certification Requirements

• Bachelor’s degree in product management, computer science, engineering, data science, business, or a related field.
• Master’s degree in a technical, business, or related field.